Asif Neloy is an Intermediate AI Engineer with a decade of experience designing and shipping production ML systems across NLP, computer vision, recommendation, and predictive analytics. He combines hands‑on model work (transformers, RAG, YOLO fine-tuning, two‑tower retrieval) with production engineering practices—APIs, Docker/K8s, CI/CD, observability and drift monitoring—to move prototypes into reliable services. Recent roles span building personalized retrieval+re‑ranking pipelines for esports analytics and integrating LLM/agent stacks and AWS Bedrock into commercial products. He also teaches production ML workflows and reproducibility as an adjunct professor, bringing an emphasis on communicating uncertainty to non‑technical stakeholders. Notably, his background blends high‑frame‑rate computer vision for gameplay telemetry with unsupervised anomaly detection and dimensionality reduction research, giving him a rare cross‑domain perspective on feature quality and model robustness.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MSc, Computer Science and Engineering, Master of Science - MSc, Computer Science and Engineering at University of Manitoba
Bachelor's degree, Computer Science and Engineering (BS CSE), Bachelor's degree, Computer Science and Engineering (BS CSE) at North South University
Contributions:80 pushes, 1 branch in 4 years 6 months
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