Engineer working across decision systems, machine learning, and full-stack product — Hyderabad, India. Fraud and risk analytics, agentic LLM workflows, data pipelines, and the web apps that sit on top of them.

Portfolio · LinkedIn · Email

Currently open to engineering roles. Most of what I've been building lately is below.

• agentic-fraud-investigation-system — a classical fraud-scoring model paired with an LLM investigation agent: enrichment tools, a human review queue, an audit log, and an evaluation harness that scores the agent against labelled cases.
• doc-unify — offline-first document intelligence. Ingests mixed formats, proposes a unified schema, then extracts against it with provenance back to the source span.
• federated-learning-portfolio — FedAvg vs FedProx on the LEAF benchmark, simulated with Flower and streamed to the browser round by round. Includes an honestly-reported negative result.
• open-data-job-board-aggregator — a searchable board built from free public job APIs, with a personal kanban application tracker and CSV/JSON export.
• tdacn — temporal drift analysis of XBRL accounting-concept networks using node2vec graph embeddings, with an interactive D3 dashboard.

Junior Risk Analyst — CITIC Middle East Contracting, Dubai · Jun 2025 – Jul 2026

• Maintained ~800 risk-register entries across 5 active projects on Amazon RDS with controlled access
• Reviewed 80+ FIDIC-based contracts, flagging liability, indemnity, and penalty exposure
• Built multi-currency exposure tracking and variance reporting on AWS Lambda; published findings through Amazon QuickSight
• Automated recurring reporting workflows, cutting manual analysis time by roughly 60%

BI & Analytics Intern — Innodatatics, Hyderabad · Dec 2024 – Mar 2025

• Delivered 30 Power BI and Tableau dashboards across business, risk, and ESG domains
• Built an ESG Risk & Sustainability Intelligence Platform integrating 20–30 material metrics
• Cleaned, transformed, and validated 8 core business datasets with Python, SQL, and pandas

B.Tech, Computer Science Engineering — SRM University, Chennai · 2022 – 2026 · CGPA 8.53/10

Machine Learning Specialization — DeepLearning.AI / Stanford Online (Coursera)