Summary
Asif Fahim is a Doctoral Researcher and seasoned ML engineer with 8 years of experience bridging academic research and production AI systems across NLP, speech, computer vision, and recommender systems. Based in Ireland, he has led end-to-end ML projects—from optimizing Whisper-based Bengali STT/TTS pipelines and deploying vector search with OpenSearch to building scalable recommendation engines with ONNX-optimized SBERT and LoRA/PEFT fine-tuning. His profile blends strong research credentials (SEAMS 2026 paper, PhD work on self-evolving multimodal agents) with hands-on engineering at startups and industry, earning awards like UCD poster recognition and an internal Best Employee prize. A two-time Kaggle Competition Expert and mentor, he regularly reviews for Elsevier journals and teaches ML courses, bringing both competitive and pedagogical perspectives to teams. Notably, he combines production deployment experience (FastAPI/Flask, Docker, Kubernetes) with research-grade model optimization techniques, making him effective at turning novel ideas into usable systems.
8 years of coding experience
3 years of employment as a software developer
Secondary School Certificate , Science, Secondary School Certificate , Science at The Buds Residential Model School
Higher Secondary School Certificate, Science, Higher Secondary School Certificate, Science at Srimangal Govt. College
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Green University of Bangladesh
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University College Dublin
English, Bengali