About

I'm an AI Engineer who came up through Data Science — which means I don't just build pipelines, I build pipelines for the models and reports that actually depend on them. At Equifax India, I've spent 4 years inside the BFSI credit risk stack. My core work: migrating legacy reporting infrastructure to Google Cloud BigQuery, cutting query performance time by 75% and enabling real-time credit risk insights for business stakeholders. I've engineered RPA + BigQuery state-machine pipelines (Playwright-based, cloud-native) for distributed job tracking, and built automated data-quality controls using Gemini 2.5 Flash that cut anomaly review time from 6 hours to 1.5 — without sacrificing accuracy. I also design and ship the systems on top of that data: an Agentic AI Orchestration Platform (LangGraph + Vertex AI) that automated end-to-end credit insights reporting, cutting report generation from 24 hours to 6 and reducing manual effort by 90%. And a Generative AI Financial Analyst Agent that lets non-technical stakeholders query static BI reports in natural language, with dynamic SQL generation and autonomous web-search for root-cause analysis. Outside my day job, I build in public. CreditAI is a fully offline, local-LLM fraud and credit-risk analyzer I built from scratch — OCR ingestion, transaction parsing, rule-based fraud detection, and a bureau-style risk score, all air-gapped for privacy-sensitive environments. VentureScope is a multi-agent system that turns startup pitch decks into structured investment memos in minutes instead of hours. Both are open source on GitHub. I was also 1 of 500 selected (from 13,000 applicants) for Anthropic's Claude Code Hackathon. What I'm looking for: Data Engineering roles where cloud pipeline design, data contracts, and governance meet real business stakes — ideally in BFSI, fintech, or risk-heavy domains where I can bring both the pipeline rigor and the applied AI instincts. Tools I work in daily: GCP (BigQuery, Vertex AI), Python, SQL, LangGraph, XGBoost, Playwright, Tableau/Looker. Open to connecting with data engineering leaders, BFSI/fintech teams, and anyone building agentic AI systems in production. Reach out — or check the Featured section below for CreditAI and VentureScope demos.

Location

Bengaluru

AI stack

claude code

gemini

github copilot

langchain

opencode

claudecode

Work experience

Data Scientist Intermediate at Equifax India, Feb 2026 - Present · 7 mos, Bengaluru, Karnataka, India

Data Scientist at Equifax India, Dec 2022 - Feb 2026 · 3 yrs 3 mos, Bengaluru, Karnataka, India, Migrated legacy reporting infrastructure to Google Cloud BigQuery, improving SQL query performance by 75% and unlocking real-time credit risk insights for business stakeholders across the org. Engineered a cloud-native RPA pipeline (Playwright headless automation + BigQuery-backed state machines) for distributed job tracking and execution — replacing manual, error-prone reporting workflows. Automated data quality control using Gemini 2.5 Flash, analyzing SQL anomalies and auto-generating human-readable summaries — cutting review time from 6 hours to 1.5 while holding accuracy constant. Designed and deployed an Agentic AI Orchestration Platform (LangGraph + Vertex AI) that automated end-to-end credit insights reporting — reducing manual effort by 90% and compressing report generation from 24 hours to 6. Built a Generative AI Financial Analyst Agent enabling natural-language queries over static BI reports (Tableau, Looker, PPT), with dynamic SQL generation and autonomous web-search for root-cause analysis using internal + external market data. Developed a high-performance XGBoost model for credit default risk prediction in new customer acquisition, outperforming legacy scorecards through advanced feature engineering and cross-validated early stopping. Led BNPL market analysis for Australian bureau evaluation, quantifying revenue impact of CCR data integration and conducting retrospective credit risk attribution at point-of-sale scoring. Led cross-functional teams to eliminate critical reporting bottlenecks, cutting project turnaround time by 60%, and built structured onboarding programs that raised new-hire accuracy from 85% to 95%.

Data Scientist Intern at Equifax India, Aug 2022 - Nov 2022 · 4 mos, Bengaluru, Karnataka, India

Software Engineer at Dalisoft Technologies Pvt Ltd, Feb 2022 - Jul 2022 · 6 mos, Bengaluru, Karnataka, India, - Android Application Development for Industry 4.0 - Designing and Integrating Database for Android Application - Designing Databases using Microsoft SQL Database Management System - Experience in object-oriented design and analysis, software development methodologies, and software testing

Software Engineer Trainee at Dalisoft Technologies Pvt Ltd, Jul 2021 - Jan 2022 · 7 mos, Bengaluru, Karnataka, India, - Design and Developing Screens using ICONCS for application in Industry 4.0 - Designing Databases using Microsoft SQL Database Management System - Learnt to Design and Develop Databases using MS SQL

Network Engineer Trainee at iOPEX Technologies, Apr 2021 - Jun 2021 · 3 mos, India, Completed training on basics of Networking, Switching, Routing, NAT, Service Security IKE ISAKMP, TCP, and SSL.

Education

Bachelor of Technology - BTech, Computer Science and Engineering, Presidency University Bangalore