Hamza K.-Academic Research Contributor in Health Sector (Volunteer)
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Experience
Academic Research Contributor in Health Sector (Volunteer)
n/a
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Software & AI/ML Engineer
Jurasoft GmbH (RA-Micro)
Virtual Platform Integration (vOffice):
- Designed and integrated AI backend services with the vOffice platform using Node.js and Next.js, enabling real-time communication between AI services and virtual conferencing interfaces.
- Developed role-specific AI assistants (AI Tilda – Translation, AI Peter – Legal, AI Mary – General Assistant) and integrated Whisper AI, WebRTC, and Simli to deliver low-latency speech-to-avatar interactions for virtual conferences.
Jura KI Assistant:
- Developed an enterprise Legal AI assistant integrating commercial AI APIs and optional local LLMs, with privacy-first preprocessing using document summarization and a custom BERT-based NER model achieving a 98.73% F1 score for GDPR-compliant anonymization.
- Engineered desktop/on-premise deployment using Turbo.net, including server-based application distribution and automatic update checks.
Local AI Assistant & Researcher:
- Designed a fully local RAG platform using OpenWebUI, Ollama, Qdrant, and FAISS over 8GB+ German legal data, incorporating contextual retrieval, metadata filtering, source attribution, and grounding.
- Organized legal knowledge by courts and sources (e.g., BGB, RVG), enabling configurable source selection through OpenWebUI, and integrated switchable local Llama 3.2 and LeoLM models.
- Fine-tuned LeoLM on curated legal and Q&A data using PEFT, QLoRA, and 4-bit quantization for memory-efficient domain-specific local inference.
Document Intelligence & Enterprise Tooling:
- Built Ollama-based structured JSON extraction and Scikit-learn document classification pipelines for automated legal email categorization and filing.
- Designed and implemented a specialized C# code conversion tool to automate migration of legacy VB/VBA applications to modern .NET architectures.
- Developed enterprise Outlook add-ins using MAUI and Blazor to extend legal software workflows within the MS-ecosystem.
Software Engineer
Euronet Worldwide
- Developed C#/ASP.NET MVC banking and transaction-processing modules and contributed to fraud detection/prevention systems supporting ATM/POS environments.
- Developed and optimized MS SQL Server queries, stored procedures, triggers, and database logic for transactional applications.
- Built banking and transaction reports using Crystal Reports IX integrated with ASP.NET MVC/MS SQL Server and supported 24/7 ATM/POS monitoring.
Software Engineer
SalTec Powerlink
- Developed WPF-based industrial configuration and monitoring software with REST/RPC communication for APS, Grid, Genset, and UPS systems, supporting remote telemetry and server communication via Wi-Fi, Ethernet, and cellular data networks.
- Redesigned a denormalized database into a normalized relational architecture up to 4NF, improving data integrity, reducing redundancy, and enhancing maintainability.
- Designed database tables, relationships, stored procedures, views, and SQL logic; contributed to debugging, testing, and Agile delivery using JIRA.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Energy, Healthcare, and Banking and Finance.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, and Research and Development.
Summary
Software & AI/ML Engineer with 5+ years of experience building production-grade backend, full-stack, and AI-powered systems. Strong software engineering background in Python, FastAPI, Node.js, C#/.NET, REST APIs, WebSockets, SQL, React/Next.js, Docker, and enterprise integrations, combined with hands-on expertise in Generative AI, LLM Engineering, RAG, Agentic AI, NLP/NER, and machine learning. Experienced in architecting privacy-first and on-premise AI solutions using local LLMs, custom BERT models, Qdrant, FAISS, Ollama, LangChain/LangGraph, and n8n, from model and retrieval pipelines through backend integration and production deployment.
Skills
Core Competencies
- Generative Ai (Genai), Agentic Ai, Llm Engineering, Retrieval-Augmented Generation (Rag), Prompt Engineering, Context Engineering, Local Llm Deployment, Nlp & Ner, Computer Vision, Ai System Design, Privacy-First Ai, Backend Engineering, Vector Databases, Ai Evaluation & Llmops
Technical Skills
- Ai Frameworks & Platforms: Chatgpt, Claude, Gemini, Groq, Openai Api, Tavily, Openwebui, Ollama, Langgraph, Langchain, Llamaindex, N8n, Huggingface (Peft, Lora, Qlora, 4-Bit Quantization), Transformers, Whisper-Ai, Model Context Protocol (Mcp), Mcp Servers & Tools
- Ai & Machine Learning: Gpt-4, Llama 3.2, Leolm (German), Bert, Sentence Transformers, Pytorch, Onnx Runtime, Transfer Learning, Fine-Tuning, Peft, Lora, Qlora, Quantization
- Llm Engineering & Rag: Rag, Contextual Retrieval, Semantic Search, Prompt Engineering, Context Engineering, Json Knowledge Extraction, Local Llm Deployment, Source Attribution, Hallucination Reduction, Tool Calling, Agentic Ai, Multi-Agent Workflows, Knowledge Retrieval Pipelines, Document Classification, Metadata Filtering
- Ai Evaluation & Llmops: Model Evaluation, Precision, Recall, F1 Score, Confusion Matrix, Retrieval Recall@K, Groundedness Evaluation, Hallucination Detection, Ragas, Deepeval, Langsmith, Mlflow (Working Knowledge), Opentelemetry (Working Knowledge)
- Nlp & Ner: Spacy, Scikit-Learn, Transformers, Flair, Seqeval, Bertfortokenclassification, Named Entity Recognition, Token Classification, Document Classification, German Nlp, Carmen Ner (Per, Loc, Str, Tel, Etc.)
- Vector Databases & Search: Qdrant (Advanced Class-Based Storage), Faiss, Pinecone (Working Knowledge), Vector Embeddings, Semantic Retrieval, Metadata Filtering, Contextual Retrieval
- Supervised Learning: Scikit-Learn, Logistic Regression, Svc, Random Forest, Naive Bayes, Gridsearchcv, Xgboost, Lightgbm, Numpy, Pandas
- Computer Vision: Yolov5, Yolov8, Opencv, Object Detection, Autonomous Vehicle Perception, License Plate Recognition
- Backend & Integration: Python (Fastapi, Flask), Node.Js, C# (.Net Core, Asp.Net Mvc, Wpf/Wcf), Vba, Vb.Net, Java, Rust, Php, Rest Apis, Tool Integration, Script Automation, Websockets
- System Design & Architecture: Microservices, Event-Driven Architecture, Api Gateway, Kafka, Rabbitmq, Redis, Caching, Message Queues, Load Balancing, Rate Limiting, Scalability, Fault Tolerance, Observability
- Frontend & Real-Time: Html, Css, Javascript, Typescript, Next.Js, React, Angular, Vue.Js (Vuex, Vuetify), Webrtc, Simli (Ai Video), Sambacall, Whisper Ai
- Infrastructure & Tools: Turbo.Net, Docker, Git, Github, Github Actions, Jenkins, Flutter, Ci/Cd, Jira, Linux, Onnx Runtime, Ms Sql, Mysql, Postgresql, Obsidian, Miro
- Cloud & Data Engineering Knowledge: Aws (Ec2, S3, Lambda, Bedrock, Sagemaker), Azure (Azure Openai, Azure Ai Foundry, Blob Storage, Virtual Machines), Gcp (Vertex Ai, Compute Engine), Databricks, Apache Spark, Pyspark, Airflow, Dbt, Snowflake, Etl/Elt, Lakehouse Architecture, Kubernetes, Prometheus, Grafana, Arize Phoenix
Languages
Education
Hochschule Mittweida | University of Applied Sciences
Applied Mathematics for Network and Data Sciences · Mittweida, Germany
Hamdard University
Bachelor of Science, Computer Science · Computer Science · Karachi, Pakistan
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Hamza is based in Berlin, Germany.
Hamza speaks the following languages: Urdu (Native), English (Advanced), German (Elementary).
Hamza has at least 5 years of experience. During this time, Hamza has worked in at least 3 different roles and for 4 different companies. The average length of individual experience is 1 year and 4 months. Note that Hamza may not have shared all experience and actually has more experience.
Based on recent experience, Hamza would be well-suited for roles such as: Academic Research Contributor in Health Sector (Volunteer), Software & AI/ML Engineer, Software Engineer.
Hamza's most recent position is Academic Research Contributor in Health Sector (Volunteer) at n/a.
In recent years, Hamza has worked for n/a and Jurasoft GmbH (RA-Micro).
Hamza is most experienced in industries like Information Technology, Energy, and Healthcare. Hamza also has some experience in Banking and Finance.
Hamza is most experienced in business areas like Information Technology, Product Development, and Research and Development.
Hamza holds a Master in Applied Mathematics for Network and Data Sciences from Hochschule Mittweida | University of Applied Sciences and a Bachelor in Computer Science from Hamdard University.
Hamza is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 25 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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