Recommended expert
Muntaha Shams
AI Engineer (Freelance)
Experience
Oct 2023 - Apr 2024
7 monthsAI 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.
Oct 2023 - Apr 2024
7 monthsSweden
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.
Jul 2021 - Oct 2023
2 years 4 monthsPakistan
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.
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
English
AdvancedUrdu
AdvancedGerman
ElementaryEducation
Apr 2024 - Jun 2026
Friedrich Alexander University (FAU) Erlangen-Nuremberg
Master's in Autonomy Technologies, Human-System Interfaces, Planning & Control · Autonomy Technologies · Erlangen, Germany
Oct 2017 - Nov 2021
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
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