Malik Osmane - AI Scientist for Life Sciences Quality

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Basel, Switzerland

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Experience

Aug 2025 - Present

1 year 3 months

AI Scientist

SQPS

Intelligent Document Processing Engine with OCR & Computer Vision: Architected the end-to-end AI pipeline at the core of the SQPS GenAI document-processing product, which turns scanned paper and PDF batches into organised, searchable documents, combining image pre-processing, OCR and layout analysis for mixed-quality scans. Technologies: Python, OpenCV, Tesseract / PaddleOCR, PyTorch, FastAPI
Automatic Document Splitting & Classification: Developed models that detect where one document ends and the next begins inside a single multi-document scan, and classify each one by type (invoices, contracts, letters, reports) to enable fully automated filing. Technologies: Python, PyTorch, scikit-learn, Hugging Face Transformers
Information Extraction & Intelligent File Naming with LLMs: Implemented an LLM-based GenAI extraction system that reads dates, names and reference numbers from unstructured documents and uses them to generate consistent, rule-based file names, with configurable naming conventions per organisation. Technologies: Python, LangChain, OpenAI, SentenceTransformers, SQL

Aug 2025 - Present

1 year 3 months

Full-Stack Developer

SQPS

Document Upload & Processing Platform: Designed and built the web application of the GenAI document-processing product, where users upload scanned files and PDFs, follow processing progress and download the organised results, with background job queues handling heavy AI and LLM workloads without slowing the interface. Technologies: React / Next.js, TypeScript, Python, FastAPI, Celery / Redis, Docker
Secure Multi-Account System with Admin Dashboard: Implemented authentication, role-based access and separate workspaces for each organisation, plus an internal admin panel that lets the team create and manage customer accounts manually and set access periods. Technologies: Node.js / FastAPI, PostgreSQL, JWT / OAuth, React
Human-in-the-Loop Review Interface: Built a review screen that shows each document next to its detected type, extracted data and proposed file name, so a person keeps the final decision and can approve or correct uncertain AI results before filing (human-in-the-loop decision support). Technologies: React, TypeScript, REST APIs, WebSockets

Aug 2025 - Present

1 year 3 months

Machine Learning Engineer

SQPS

Deviation & CAPA Text Analytics: Applied NLP clustering and classification to deviation and corrective-action records to reveal recurring root causes and process bottlenecks, supporting continuous improvement. Technologies: Python, spaCy, scikit-learn, Hugging Face Transformers
Multilingual Quality Documentation (EN / FR / DE): Adapted models to generate and process quality documents in English, French and German, matching the company's working languages. Technologies: Python, multilingual transformer models
Data Protection & Confidentiality: Handled confidential client data using [anonymised test data, access controls, secure environments] in line with Swiss and EU data-protection requirements.

Aug 2025 - Present

1 year 3 months

Machine Learning Researcher

SQPS

Hallucination Control & Human-in-the-Loop Validation: Designed evaluation sets reviewed by quality experts, with confidence scoring, rule-based checks and mandatory human approval, so AI-generated documents meet compliance standards before release and reviewers have a clear, evidence-based basis for each approval decision. Technologies: Python, pandas, MLflow, custom evaluation framework
GxP Spreadsheet Risk Analysis & Anomaly Detection: Developed methods that scan Excel spreadsheets for formula errors, broken references and data-integrity risks, helping quality teams decide and prioritise what needs validation (risk-based decision support). Technologies: Python, openpyxl, pandas, scikit-learn
Document Understanding for Legacy Records: Applied OCR and layout analysis to scanned validation and quality records, classifying and extracting key fields so older paper documentation could be reused. Technologies: Python, OpenCV, PaddleOCR / Tesseract, Hugging Face Transformers

Sep 2024 - Present

2 years 2 months

Algeria

Data Scientist & Backend Developer

STREAM

Intelligent Fault Management Platform with RAG & LLMs: Architected comprehensive generative AI system combining Retrieval-Augmented Generation with large language models for automated fault diagnosis and resolution recommendations, a GenAI decision-support application that helps engineers choose the right corrective action. Technologies: Python, LangChain, SentenceTransformers, OpenAI, FastAPI, SQL
Computer Vision Automation for TV Production: Developed automated quality control system using YOLO v11 and OpenCV to monitor television assembly line, detecting defects and ensuring production standards in real-time, giving the production team immediate pass/fail decisions at the manufacturing stage of the product lifecycle.
Customer Segmentation & Predictive Analytics: Implemented advanced RFM analysis combined with machine learning clustering to segment customer base, enabling data-driven marketing strategies.
Predictive Delivery Modeling: Built machine learning system for Yalidine logistics to predict package delivery success rates, optimizing route planning and resource allocation and supporting day-to-day operational decisions.
Real-Time Geofencing Platform: Developed real-time vehicle tracking and geofencing system with GPS integration, enabling fleet management and location-based alerts.
Interactive Sales Analytics Dashboard: Created comprehensive Power BI analytics platform with custom DAX measures for multidimensional sales analysis, executive reporting and management decision-making.

Sep 2024 - Oct 2024

2 months

Algeria

Data Science & AI Platform Engineer

Algérie Poste

Architected and developed AI-powered automation platform for the complete internship application pipeline, including candidate ranking and selection.
Utilized state-of-the-art ML frameworks and tools to enhance platform functionality and performance.
Successfully managed tight schedules within a large-scale corporate environment, coordinating with multiple stakeholders.
Applied machine learning to automate and support decision-making processes traditionally requiring manual review, giving reviewers ranked, data-driven recommendations.

Sep 2024 - Oct 2024

2 months

Algeria

Generative AI Engineer – RAG & LLM Systems

Brenco Engineering & Consulting

Architected and deployed an end-to-end generative AI (GenAI) platform leveraging LLaMA foundation models and Retrieval-Augmented Generation (RAG) to generate personalized social media content at scale.
Performed LLM fine-tuning using advanced techniques to adapt the model for domain-specific content generation.
Implemented comprehensive RAG pipeline integrating ChromaDB and FAISS vector databases for efficient semantic search and context retrieval.
Built production-ready Flask APIs with full MLOps infrastructure including Docker containerization, Gunicorn WSGI server, Redis caching, and Nginx reverse proxy.
Conducted thorough testing, documentation, and system validation, ensuring platform reliability and maintainability.
Demonstrated ability to deliver complex GenAI systems hands-on across the full product lifecycle, from research concept through production deployment, collaborating effectively with business stakeholders.

Jun 2024 - Present

2 years 5 months

Algeria

Machine Learning Engineer – High-Performance Inference Systems

SARL Think & Touch Solution

Collaborated hands-on with the data scientists and engineers of the Data Consulting department in an agile, client-facing environment, delivering cutting-edge ML solutions with direct business impact.
Developed Flashed, a high-performance parallelized Inference Engine for large language models (LLMs), achieving substantial improvements in LLM inference speed and efficiency for production GenAI workloads.
Leveraged C/C++ and parallelism libraries to build fast, efficient computational infrastructure optimized for production-scale ML workloads.
Applied software engineering best practices and performance optimization techniques to create production-ready ML and LLM infrastructure.
Demonstrated ability to work effectively in corporate consulting environment, managing client relationships and translating client requirements into technical ML and LLM solutions.

Mar 2024 - Jun 2024

4 months

Algeria

Backend Developer

YASSIR EURL

Developed backend system for automated employee contract generation with integration to Google Cloud Storage for secure document management.
Technologies: NestJS, Google Cloud Storage, SQL — demonstrating full-stack backend development and cloud platform integration.

Jan 2024 - Jul 2024

7 months

Algeria

Machine Learning Research Engineer – Medical Imaging

Centre de Développement Technologique Avancé (CDTA)

Conducted Master's thesis research on multi-modal medical image fusion, developing a desktop application for integrating complementary information from CT, MRI, PET, and SPECT imaging modalities.
Applied deep learning techniques (PyTorch, TensorFlow) to create unified medical imaging representations, enhancing diagnostic accuracy.
Built production-ready desktop application using Python and PyQt with SQL database backend, enabling clinical researchers to process multi-modal medical datasets.
Demonstrated expertise in medical image processing pipelines, data preprocessing, model training, and clinical software development.

Jan 2023 - Present

3 years 10 months

Founder & Lead AI Engineer

Founded and led development of an innovative healthcare AI startup focused on automating reproductive health diagnostics through deep learning video analysis.
Built comprehensive web-based AI platform with React.js and Tailwind CSS frontend for real-time automated analysis results.
Architected cloud deployment infrastructure on VPS with SSL security, ensuring HIPAA-considerations for medical data handling.
Secured official startup certification, demonstrating entrepreneurial capability and commitment to real-world clinical impact.

Jan 2022 - Dec 2023

2 years

Algeria

Marketing Team Lead

GOSTU (EdTech Startup)

Led marketing strategy and execution for a student-focused study platform, successfully scaling user acquisition to 20,000+ users within 4 months of launch.
Demonstrated cross-functional leadership and strategic thinking, collaborating with diverse stakeholders.
Developed strong skills in communicating complex concepts to non-technical audiences and data-driven decision-making.

Full-Stack Developer & ML Integration Specialist

Delivered custom web applications and full-stack solutions with integrated AI capabilities for diverse client sectors.
Developed responsive frontends using React.js and Tailwind CSS, scalable backends with Django, Node.js, and MongoDB.
Integrated third-party APIs and deployed production-ready applications via Vercel, Render, and Docker with CI/CD pipelines.

Algeria

AI Research Scientist – Biomedical Vision Models

CERIST (Centre de Recherche sur l'Information Scientifique et Technique)

Conducted advanced research on Large Vision Models (LVMs) for medical image interpretation, bridging visual and textual understanding in clinical contexts.
Implemented and fine-tuned PaliGemma, a state-of-the-art vision-language foundation model, for specialized biomedical domains.
Designed comprehensive medical dataset preprocessing pipelines including image standardization, text annotation processing, and data augmentation strategies.
Performed multi-dataset fine-tuning experiments on public biomedical benchmarks, evaluating model performance across diverse medical imaging modalities.
Achieved measurable improvements in clinical information extraction accuracy through custom dataset creation and domain-specific model optimization.
Delivered technical presentations, code demonstrations, and comprehensive evaluation reports.

Machine Learning Engineer – Final Year Research Project

CERIST – Medical AI Systems

Architected and deployed a complete end-to-end AI system for automated biomedical analysis, targeting spermatozoa detection and motility assessment.
Led full ML lifecycle from data acquisition and annotation (Roboflow) through preprocessing to ensure robust model training.
Conducted systematic comparative analysis of multiple YOLO variants (YOLOv5, YOLOv7, YOLOv8, YOLO-NAS) optimizing speed-accuracy tradeoff.
Performed comprehensive model evaluation using biomedical-relevant metrics: mAP, precision-recall curves, F1-scores, and inference latency.
Engineered production-grade containerized deployment architecture using FastAPI backend, MongoDB, Docker, and Docker Compose.
Delivered a scalable, modular AI solution suitable for integration into medical laboratory workflows and research pipelines.

Data Science & Machine Learning Engineer

CodeAlpha

Developed advanced time series forecasting models using RNN and LSTM architectures for temporal biomedical data.
Implemented comprehensive data preprocessing pipelines including normalization, feature scaling, and hyperparameter tuning.
Validated superior performance of LSTM networks in capturing long-term dependencies for modeling biological processes.
Applied regression modeling techniques to synthetic datasets relevant to drug response prediction and biomarker correlation analysis.

Industry experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology, Healthcare, Transportation, Manufacturing, Education, and Pharmaceutical.

Information Technology

Healthcare

Transportation

Manufacturing

Education

Pharmaceutical

Business area experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Product Development, Marketing, Quality Assurance, Business Intelligence, and Logistics.

Information Technology

Product Development

Marketing

Quality Assurance

Business Intelligence

Logistics

Summary

Are you looking for an experienced leader with a history of successful and broad-quality experiences within the life science industry? I am passionate about quality and I was praised for my adaptability and creativity to produce innovative solutions and drive and motivate my peers to that path on quality with me! I gained maturity and leadership experiences during 15 years of life science while working in various QA positions covering the entire QMS and product life cycle, from development to discontinuation. I am known for providing lasting solutions based on a deep, multidimensional understanding of the challenge, which is the essence of quality. In the past, I have motivated teams and maintained or improved their KPIs. Thanks to my experience, I am also familiar with the function of any interfaces (including Third Parties), which allows me to conduct my tasks safely, promptly, and quickly and thus to be an effective "servant" leader who drives quality oversight and has strategic foresight at global, product or project level. I make moderate risk-based decisions on QA matters and know to communicate risks appropriately to management. I have shown the "right" risk mindset regarding Health Authority inspection outcomes or commitments upon finding to health authorities. I coordinated and contributed to business-improvement and harmonization projects across global (quality) level, with pleasure and in a proactive manner, leading the organization to be "ahead of the game" with the third parties as well authorities by applying the leading and most recent mainstream supply chain approaches in the industry.

Skills

Compliance
Quality Assurance/Systems
Cleaning/Process/Thermal Validation
Deviation/Capa
Risk Assessment/Fmea
Biotechnology
Pharmaceuticals
Failure Investigation
Third Party Management
Supply Chain
Project Management
Leadership
Business
Process Improvedment
Ich / Fda / Gmp / Ema

Languages

German

Native

English

Advanced

French

Intermediate

Arabic

Elementary

Education

Oct 2025 - Present

Université Yahia Farès

PhD in Artificial Intelligence · Médéa, Algeria

Oct 2023 - Jun 2025

Master's Degree in Computer Science · Artificial Intelligence & Data Science · Algeria

Sep 2022 - Jun 2024

Saad Dahleb Blida 1 University

Master's Degree in Computer Science · Software Engineering · Blida, Algeria

...and 4 more

Certifications & licenses

Course certificate in "Introduction to Psychology"

QP in Switzerland

Concept Heidelberg

QS 9 - Efficient supplier qualification

Concept Heidelberg

Course certificate in "Emmotional Intelligence"

Course certificate in "Team Building"

GAMP 5 and 21CFR Part 11

FPX project management

PDA QbD workshop for MAbs

ICRA certified quality systems auditor

Lead Auditor for ISO 9001:2008

PDA Process Validation

Strategic Change Management

Quality by Design Course (focus on the implementation of QbD in development)

Internal Audit Course (for ISO 13485 and first practical audits)

Design of Experiments and Design Surface (FETAC level 5, certified exam)

GMP Studies

Further GMP and Analytical training

Statistical Process Monitoring and general GMP training

Statistics

Experience

Total positions 16

Experience in Information Technology 5 y

Avg length 1 y

Longest experience 3 y 9 m

Global experience

Countries worked in 1 (Algeria)

Primary country Algeria

Expertise

Recent roles AI Scientist, Full-Stack Developer, Machine Learning Engineer

Main industries Information Technology, Healthcare, Transportation

Main business areas Information Technology, Product Development, Marketing

Qualifications

Highest degree Doctorate

Certifications earned 18

Member since

October 2026

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Frequently asked questions

Have questions? Find more information here.

Malik is based in Basel, Switzerland.

Malik speaks the following languages: German (Native), English (Advanced), French (Intermediate), Arabic (Elementary).

Malik has at least 5 years of experience. During this time, Malik has worked in at least 12 different roles and for 8 different companies. The average length of individual experience is 5 months. Note that Malik may not have shared all experience and actually has more experience.

Based on recent experience, Malik would be well-suited for roles such as: AI Scientist, Full-Stack Developer, Machine Learning Engineer.

Malik's most recent position is AI Scientist at SQPS.

In recent years, Malik has worked for SQPS, STREAM, Algérie Poste, Brenco Engineering & Consulting, and SARL Think & Touch Solution.

Malik is most experienced in industries like Information Technology, Healthcare, and Transportation. Malik also has some experience in Manufacturing, Education, and Pharmaceutical.

Malik is most experienced in business areas like Marketing, Information Technology, and Product Development. Malik also has some experience in Quality Assurance, Business Intelligence, and Logistics.

Malik holds a Doctorate from Université Yahia Farès, a Master in Artificial Intelligence & Data Science, a Master in Software Engineering from Saad Dahleb Blida 1 University, a Master in Artificial Intelligence and Data Science from Higher National School of Artificial Intelligence (ENSIA), a Master in Artificial Intelligence and Data Science from Higher National School of Artificial Intelligence (ENSIA) and a Master in Artificial Intelligence & Data Science from École Nationale Supérieure d'Informatique (ESI).

Malik has 18 certificates. Among them, these include: Course certificate in "Introduction to Psychology", QP in Switzerland, and QS 9 - Efficient supplier qualification.

The availability of Malik needs to be confirmed.

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Daily rate avg. 1180 €

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Median rate 1140 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 28 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.