🛡️ RakshaQuant - AI-powered paper trading for NSE using LangGraph multi-agent orchestration. Features 4 LLM agents, learning feedback loop, LangSmith observability & risk guardrails. Built with Groq, DhanHQ sandbox & PostgreSQL. Paper-first design.
REST API (built using AWS Lambda and Amazon Textract) to extract structured text data from images of Indian OVD(s) (Officially Valid Documents) like Aadhaar card, PAN Card, Driving License, Passport, etc.
Build a response model for predicting the probability of a response from each prospect and target the ones most likely to respond to the telemarketing campaign. The objective is to reduce the cost of the bank by doing a targeted campaign.
End-to-end KYC/AML compliance data analysis using mock datasets. Includes customer risk scoring, suspicious transaction flagging, and compliance reporting in Python (Pandas, Matplotlib).
Enterprise-grade BI engine for predictive analytics and risk modeling. Optimized for high-stakes data processing in the BFSI sector.
Agentic AI loan underwriting platform for Indian BFSI sector. LangGraph v0.3 + 5 MCP servers (Bureau, GST, KYC, RBI Compliance, Account Aggregator) + XGBoost + SHAP + Kafka. RBI/DPDP 2023 compliant. Deployed on AWS Mumbai (ap-south-1).
Business Analyst portfolio focused on BFSI projects, BRDs, SQL, Power BI, and process analysis.
Production-grade AI observability system for BFSI customer assistance — Dify + Gemini + Langfuse
Claude AI Go-To-Market playbook for Indian banking, insurance & financial services. Enterprise use cases, RBI compliance mapping, production prompt templates.
A BFSI-focused monitoring system flagging anomalous transaction patterns for risk and compliance teams — built to reduce fraud losses and false-positive investigation time.
Computer Vision and OCR pipeline for banking documents — cheque reading (MICR extraction), ID card verification (MRZ parsing, face detection), signature verification (ORB feature matching), fraud detection (ELA, copy-move, noise analysis), and image quality assessment. Built with OpenCV, Azure AI Vision, and GPT-4o.
An end-to-end data analytics project analyzing policy lapsation and customer retention for an Indian insurance company — ShieldLife Insurance — built to simulate a real-world BFSI analytics workflow.
BFSI & AI LITERACY HINGLISH KNOWLEDGE GRAPH™ HINGLISH COGNITIVE ANCHORING MODEL™
Clerivon AI lab/pilot: multi-agent BFSI fraud detection (Monitor→Investigator→Adjudicator→Explainer→Feedback). Synthetic E2E demo — Streamlit, harness, SQLite/Postgres, Docker.
HITL-governed, multi-agent autonomous red-team framework for BFSI APIs — Ed25519 scope-gate, human checkpoints, tamper-evident audit ledger.
Secure full-stack BFSI banking app with JWT auth, OTP, transactions, and MySQL backend.
Docs-only case study of a compliance & anomaly detection platform on Azure + Databricks (Streaming ETL + Batch ELT + ML).
A comprehensive multi-agent-systems development tutorial using Google Agent Development Kit (ADK) 2.5.0 with examples related to BFSI domain.
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