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AI Engineer
Building AI Systems, LLM Applications, Fine-tuning, Agentic Workflows.
I build production-ready AI systems that combine machine learning, large language models, and software engineering.
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About
Data / Product Analyst with 6+ years in fintech — regulatory, lending and payments — at Slice (formerly North East Small Finance Bank). I build and ship AI-powered systems end-to-end: a RAG-based financial data query system, Slack-integrated AI agents, and internal MCP tooling, alongside applied LLM post-training work (SFT, LoRA/PEFT, evaluation). Recognized as Slice’s AI Champion for Q3 FY25.
LangChain, LangGraph, RAG pipelines, vector databases, MCP tooling and Slack-integrated agents.
SFT, LoRA / PEFT with Thinking Machines’ Tinker; evaluation and benchmarking (LiveSQLBench).
Python, SQL, Spark and Airflow on AWS — turning fintech data into product decisions.
Experience
From regulatory analytics at a scheduled bank to shipping Slack-integrated AI agents and MCP tooling at Slice.
Apr 2026 — Present
Slice
May 2025 — Apr 2026
Slice (formerly North East Small Finance Bank)
Sep 2019 — Apr 2025
North East Small Finance Bank
Jun 2018 — Aug 2019
Innfinity · Ezen Software and Technology Pvt. Ltd.
Jul 2017 — Jun 2018
Zantrik Technologies Pvt. Ltd.
Education
GIMT, Azara · 2013 — 2017
Projects
AI systems shipped across fintech analytics, agentic workflows and applied LLM research.
RAG · n8n · PostgreSQL
Conversational query system for internal financial data — pure n8n architecture with PostgreSQL storage, JavaScript Code Nodes for Bayesian disambiguation, OpenAI embeddings for semantic matching, and Slack interactive messages. Outperformed the existing competitor n8n system while keeping zero maintenance overhead.
LangChain · LangGraph · MCP
Slack-integrated AI agents (LangChain, LangGraph, vector DB) plus n8n automations — including JIRA ticket creation — and an MCP server for shared-drive file retrieval. Drove team-wide adoption of Cursor and MCP tooling. Recognized as Slice’s AI Champion for Q3 FY25.
SFT · LoRA / PEFT · Evaluation
Hands-on post-training work with Thinking Machines’ Tinker — SFT and LoRA fine-tuning on Qwen3.5-4B and Kimi K2.6. Building training pipelines across forward/backward passes, optimizer updates and inference; benchmarking against LiveSQLBench.
MCP · Cursor · Internal tools
Custom MCP server for retrieving files from a shared drive, plus adoption playbooks that brought Cursor and MCP into the team’s daily workflow — unblocking analysts and data engineers.
Coming soon
A pipeline of upcoming AI systems — next up: fine-tuning Inkling for text-to-SQL generation. Spanning research, agentic products and open-source contributions.
Skills
A pragmatic toolkit spanning data, applied AI, product analytics and fintech domain.
Data & Programming
Cloud & Data Infra
BI & Visualization
AI & Agentic Systems
Applied ML / Post-Training
Automation & Tooling
Product & Domain
Certifications
Formal training in modern AI, agentic systems and machine learning fundamentals.
Anthropic · Oct 2025
Anthropic · 2025
DeepLearning.AI · Oct 2025
LangChain · Sep 2025
DeepLearning.AI · Aug 2025
Stanford University · Coursera · 2025
Stanford University · Coursera · 2025
Stanford University · Coursera · Mar 2025
Stanford University · Coursera · Jan 2025
Contact
Open to Data / AI roles, research collaborations and consulting.