Credit Risk Infrastructure · Agentic AI · Life Sciences
Senior Manager @ RBC · Toronto → North America · IIT Guwahati · UdeM M.Sc.
I build the infrastructure that gets AI into production inside regulated environments — decision strategy engines, MCP agent frameworks, feature stores for LLM-queryable analytics, and the SDLC guardrails that keep all of it compliant. Not a researcher. Not a consultant. Someone who ships.
|
Productionalizing strategies & models across retail credit portfolios. Feature harmonisation pipelines that make credit risk signals queryable by conversational AI. Legacy system decommissioning with regulatory artefact management. Domain: Retail credit Strategies & Models · Product Owner · AI-enablement |
MCP agents that reduce deployment errors and tighten change management inside Agile delivery cycles at a Big 5 bank. Bioinformatic ML pipelines. RAG systems over structured financial and clinical data. Stack: Python · MCP · LangChain · SQL · PowerBI · Agentforce |
IIT Guwahati biotech foundation + M.Sc. in molecular biology and cellular medicine + 14 months in clinical research operations. Published in neuroimmunology. Eyes on AI applications in drug discovery and clinical data infrastructure. Domain: Genomics · Clinical ops · HIPAA · ALCOA |
Language Python · SQL · DAX · VBA
AI/Agents MCP · LangChain · LlamaIndex · OpenAI API · Anthropic API
Data Snowflake · MySQL · PowerBI · Pandas · NumPy · BioPython
Infra Agile/SAFe · D365 · LIMS · Azure DevOps
Risk Decision trees · Scorecards · OSFI E-23 · HIPAA · PHIPA · HL7
Methods DMAIC · Lean Six Sigma · Kaizen · A/B testing
2015 → 2019 B.Tech Biotechnology · IIT Guwahati ·
Published: J Immunol 2020 — neuroimmune axis regulation
2019 → 2021 M.Sc. Molecular Biology & Cellular Medicine · UdeM / IRCM ·
Research: sex-difference in MAFLD-based liver cancer progression
2020 → 2024 CellCarta Biosciences — Lead Scientist → Global Operations Analyst
10+ product features · $0.5M value capture · D365 · HIPAA/PHIPA compliance
2023 → 2024 DigitalDx Ventures — Venture Analyst (part-time)
Femtech & medical diagnostics · due diligence · deal sourcing
2024 → 2025 Independent — Biotech & Startup Advisor
AI governance frameworks · fundraising · go-to-market
2025 → now RBC — Credit Retail Risk Infrastructure
Decision strategy deployment · MCP agents · feature store build · legacy migration
| Project | What it does |
|---|---|
| Seq2Feature | Bioinformatics ML pipeline — ETL from genetic sequences to ML-ready features using Pandas, NumPy, BioPython |
| Nucleus Segmentation | Computer vision pipeline for histological image analysis |
| AI-based projects | Ongoing |
Gnanavel N. et al. "Neuroimmune/Hematopoietic Axis Regulation by High-Mobility Group Box 1 and Tachykinin Peptides."
Journal of Immunology, vol. 204, no. 4, 15 Feb. 2020. → Link
Precision and Genomic Medicine · UCSF · 2020
The gap I keep running into: banks and fintechs have the models. They don't have the infrastructure to get those models into production in a way that survives a regulatory audit, a change freeze, and a 3am incident simultaneously. That gap — between AI capability and AI deployment in regulated environments — is what I'm focused on closing.
Long-term: I want to work at the intersection of credit risk infrastructure, agentic AI deployment, and healthcare data systems — the three sectors where the cost of getting AI wrong is high enough that human-in-the-loop engineering will always matter.
I'm not on here to network broadly. If you're working on something at the intersection of production AI deployment, credit infrastructure, or clinical data systems — and you want to have a real conversation about what that actually looks like inside a regulated environment — reach out.
last updated Jun 2026