Hi, I'm Fahim Uddin
AI Engineer | Machine Learning Engineer
I build intelligent systems and robust software. Passionate about machine learning, computer vision, and scalable engineering.
About Me
I am a master's student pursuing a degree in Artificial Intelligence at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), specializing in Machine Learning, NLP, and Computer Vision. My academic and professional journey revolves around solving complex problems using modern machine learning techniques and scalable software architectures. My career goal is to work as a Full-time AI/ML Engineer, building intelligent, performant, and reliable systems that drive real-world impact.
Technical Skills
Machine Learning & AI
Programming Languages
Frameworks & Libraries
Backend / APIs
Cloud & DevOps
Tools
Projects
Developed a computer vision system using fine-tuned ResNet architectures to assist radiologists in detecting anomalies in X-rays, achieving 94% accuracy and reducing average review time by 30%.
Created an open-source toolkit to automatically refine and optimize prompts across 15+ languages using reinforcement learning, reducing token usage by 20% while improving multilingual inference accuracy by 15%.
Experience
Machine Learning Engineer Intern
May 2025 - Present- Developed and deployed an automated data pipeline using Apache Airflow, reducing preprocessing time by 40%.
- Fine-tuned transformer models for sentiment analysis on customer feedback, achieving a 12% improvement in F1 score.
- Collaborated with the backend team to integrate the ML models into a production REST API using FastAPI and Docker.
Research Assistant (Computer Vision)
Oct 2024 - Apr 2025- Researched low-light image enhancement techniques for autonomous vehicle perception systems.
- Implemented a custom GAN architecture in PyTorch, improving object detection mAP by 8% in simulated low-light datasets.
- Co-authored a paper accepted at CVPR Worksshop 2025 detailing the novel architecture.
Software Developer (Working Student)
Jan 2024 - Sep 2024- Built internal dashboards for visualizing IoT sensor data using React, Next.js, and Recharts.
- Optimized PostgreSQL queries, reducing dashboard load times by over 50%.
- Maintained CI/CD pipelines in GitLab, ensuring reliable automated testing for all pull requests.
Research & Publications
Evaluating Zero-Shot Capabilities of Small Language Models in Medical QA
2024This paper investigates the performance of sub-7B parameter models on specialized medical question-answering datasets, proposing a novel retrieval-augmented approach to mitigate hallucinations without fine-tuning.
Robust Feature Extraction in Low-Light Computer Vision
2023A comparative study of contemporary feature extraction techniques applied to exceptionally low-light environments, introducing a synthetic dataset for benchmarking autonomous vehicle perception.
Federated Learning for Privacy-Preserving IoT Systems
2023We propose a localized gradient aggregation algorithm that significantly reduces communication overhead while maintaining differential privacy for resource-constrained IoT edge devices.
Latest Blogs
Read my latest writings on AI and Software Engineering on my blog.
Visit BlogEducation
MSc Artificial Intelligence
Oct 2023 - PresentBSc Computer Science
Sep 2019 - Jul 2023Let's Connect
I'm currently open for new opportunities. Whether you have a question or just want to discuss AI, I'll try my best to get back to you!