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.
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)