Srijan Roy

Bridges product thinking and hands-on ML engineering — Srijan combines product roadmap and business planning with building and deploying ML/LLM features, positioning him as an AI product-engineer rather than purely a research scientist. medial+1

Experienced in modern NLP and LLM tooling — his work includes Retrieval-Augmented Generation (RAG) chat engines, fine-tuning LLMs (LLAMA, T5-XXL), Dense Phrase Retrieval, and use of Hugging Face, PyTorch, LangChain and related libraries. medial+1

Production-focused deployment and MLOps experience — he has deployed models and ML infrastructure using Kubernetes, KServe, MLflow, Kubeflow and Jenkins and built scalable applications for supply-chain forecasting and other business uses. medial

Has led small technical teams and driven technical strategy — at Squire and earlier roles he planned resourcing, advised on technical standards, collaborated on roadmaps and handled budgeting and hiring decisions. medial