Muntaha S.

AI Engineer (Freelance)

Erlangen, Germany

Experience

Oct 2023 - Apr 2024
7 months

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.
Oct 2023 - Apr 2024
7 months
Sweden

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 months
Pakistan

AI Engineer

Inaequo Solutions

  • Promoted from Trainee → Associate → 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 (AWS, GCP) with strong focus on scalability and automation.

Languages

English
Advanced
Urdu
Advanced
German
Elementary

Education

Apr 2024 - Jun 2026

Friedrich-Alexander University Erlangen-Nuremberg

Master’s in Autonomy Technologies · 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

Google Cloud Big Data And ML Fundamentals

Python Core

TensorFlow On Google Cloud

TensorFlow Practice

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