Open to opportunities

Ritosuvra Ray

@ritosuvraray

Message

Decision Scientist / AI Engineer turning messy problems into measurable, production-ready AI and analytics systems.

India

Message

What I'm looking for

I’m looking for a role where I can build production AI and decision systems—RAG/LLM workflows, computer vision, and reliable data pipelines—paired with strong engineering practices (monitoring, validation, and fast iteration) that turn metrics into real product outcomes.

I’m a Decision Scientist / AI Engineer with 1+ years of professional experience across computer vision, Generative AI, analytics, and data engineering. In my trainee role, I’ve built production systems and dashboards using Python, PyTorch, SQL, React, and Flask—focused on converting business questions into measurable KPIs and repeatable workflows.

I’ve also shipped deep learning and platform-grade AI: a production Facial Emotion Recognition (FER) application (ResNet-50, ArcFace) with optimized GPU inference and reproducible handoff, and RAG/LLM evaluation platforms using LangChain, vector-based retrieval, and observability tools. I care about end-to-end reliability—data validation, ETL/QA automation, and monitoring—so models perform consistently in real environments.

Experience

Work history, roles, and key accomplishments

Current

Trainee Decision Scientist

Current

Mu Sigma

Jun 2025 - Present (1 year)

Built a production React + Flask analytics dashboard surfacing churn and engagement KPIs across 5+ business metrics and used it for weekly data-driven decision-making. Developed Python-based analytics pipelines that reduced insight delivery time by ~40% and co-developed a Facial Emotion Recognition application fine-tuning ResNet-50/ArcFace to ~90% benchmark accuracy while improving inference stabi