Muntaha Shams
AI Engineer (Freelance)
Experience
AI Engineer (Freelance)
Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Data Scientist
Youpal Group
- Developed AI-driven solutions to automate CV-to-job description matching, improving recruitment efficiency and candidate-job alignment.
- Built LLM-based text generation systems using LangChain and fine-tuning techniques, deployed on AWS/GCP cloud platforms for scalable performance.
- Designed and optimized intelligent chatbots to streamline candidate screening and enhance automation efficiency.
- Collaborated with frontend, backend, and DevOps teams to transform business requirements into scalable, production-ready AI solutions.
- Integrated AI components with existing enterprise systems, ensuring seamless performance in cross-functional environments.
- Owned end-to-end AI system development, including model design, API integration, deployment, and maintenance.
AI Engineer
Inaequo Solutions
- Promoted from trainee to associate to AI engineer within two years, recognized for consistent performance and technical expertise.
- Collaborated with international clients to gather requirements, define project timelines, and set milestones, ensuring smooth and on-time delivery.
- Acted as a key liaison between clients and the development team, improving communication and alignment on project objectives across borders (EU, US).
- Led the design, development, and deployment of machine learning, deep learning, and NLP models, delivering solutions for predictive analytics, document processing, and automation.
- Mentored and trained junior AI engineers, improving team delivery capacity by 30% through guidance on best practices and troubleshooting.
- Researched and adopted emerging AI technologies, integrating new tools and methods to drive innovation and maintain a competitive edge in client solutions.
Industry Experience
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Experienced in Information Technology and Professional Services.
Business Area Experience
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Experienced in Information Technology, Project Management, Research and Development, and Product Development.
Summary
AI Engineer / Data Scientist with 3+ years of experience designing, developing, and deploying AI solutions in Computer Vision, NLP, and Generative AI. Proven track record in European and international projects, delivering production-grade systems for startups and enterprises. Skilled in LLMs, RAG pipelines, computer vision, and cloud-based deployment with strong focus on scalability and automation.
Currently pursuing a Master’s in Autonomy Technologies at Friedrich-Alexander-Universität and seeking full-time, part-time or internship opportunities to apply expertise in AI engineering and data-driven innovation.
Skills
- Computer Vision: Object Detection, Ocr, Image Segmentation, Gans
- Natural Language Processing: Ner, Tf-idf, Chatbots
- Generative Ai: Stable Diffusion, Dall·e, Stylegan, Lora Fine-tuning, Comfyui
- Large Language Models: Langchain, Prompt Engineering, Rag Pipelines, Llama, Mistral, Openai Fine-tuning
- Machine Learning & Deep Learning: Cnns, Rnns, Transfer Learning, Svm, Random Forest, Recommendation Systems
- Ai Deployment: Cloud Integration, Api Deployment, Streamlit Apps, Docker, Github
- Programming Language: Python
- Frameworks: Tensorflow, Keras, Pytorch
- Libraries: Opencv, Pandas, Numpy, Scikit-learn, Matplotlib
- Tools: Anaconda, Docker, Github
- Cloud Services: Gcp (Vertex Ai, Automl), Aws (Ec2 Instance, Lambda)
- Api Development: Flask, Fastapi
- Databases: Postgresql, Mysql, Pinecone, Chromadb
- Soft Skills: Communication, Teamwork, Analytical Thinking
Languages
Education
Friedrich Alexander University (FAU) Erlangen-Nuremberg
Master's in Autonomy Technologies, Human-System Interfaces, Planning & Control · Autonomy Technologies · Erlangen, Germany
NED University of Engineering and Technology
Bachelor's in Electronic Engineering · Electronic Engineering · Karachi, Pakistan
Certifications & licenses
Computer Vision Nanodegree
Udacity
Feature Engineering
Coursera
Google Cloud Big Data And Ml Fundamentals
Coursera
Python Core
SoloLearn
TensorFlow On Google Cloud
Coursera
TensorFlow Practice
Coursera
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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