Tech Architect at INDmoney, with 9+ years building financial platforms and machine learning systems.
INDmoney · 2022–present
Order-execution APIs across Indian and U.S. markets, handling 20,000+ live trades daily.
Supports equities, derivatives, commodities, and GTT/OCO orders, connecting strategy workflows to order management and execution.
Python · Go · Distributed systems · AWS
An MCP server and a four-agent investment assistant connecting natural language to financial tools.
The MCP server exposes 23 read/write tools with OAuth 2.1, PKCE, and EKS deployment. WealthAI uses LangGraph to turn investment requests into mutual fund baskets, handling 70,000+ daily interactions.
MCP · LangGraph · PostgreSQL · Kubernetes
Explore INDmoney MCPFinancial ledgers and reconciliation for 1M+ daily transactions, with approximately 50× less ledger lock time.
Versioned ledgers and atomic journal batching across INR and USD. AI-assisted reconciliation retains source-attributed audit trails.
Django · Frappe / ERPNext · PostgreSQL
Tech Architect
Leading trading and AI platform engineering. Built document-processing and identity systems handling 2M+ financial documents per day.
SDE-II · Data Platforms
Built financial data aggregation and real-time underwriting services. Delivered 2.5× faster batch jobs as the platform grew from 30,000 to 270,000 users.
Machine Learning Engineer
Built an action-recognition backend for basketball video analysis, reaching 94% video-level test accuracy. Developed crawling infrastructure for a knowledge graph spanning thousands of sites.
Machine Learning Engineer
Built NLP pipelines for intent classification and named entity recognition, along with predictive models powering production voice and IVR systems.
Python · Go · SQL · JavaScript
Django · FastAPI · PostgreSQL · Redis · Airflow · PySpark · MongoDB · Neo4j
PyTorch · LangGraph · LangChain · MCP · pgvector · DSPy
AWS · Docker · Kubernetes · New Relic