About
AI & Software Engineer focused on building intelligent, data-driven applications across disaster response, financial fraud detection, and career intelligence. Skilled in Python, React, Node.js, FastAPI, and machine learning, with hands-on experience developing geospatial intelligence systems, graph-based threat detection, and secure full-stack platforms. Combines software engineering, analytical problem-solving, and AI-driven innovation to build practical solutions for complex real-world challenges.
Experience1
Political Consulting Intern / ICPC Trainee
Oct 2026 — PresentPolicy, Politics & Governance Foundation (PPGF)
Selected for the Introductory Course to Political Consulting (ICPC), gaining exposure to policy research, political intelligence, campaign strategy, and strategic communication. Developing analytical skills through data science, statistics, economics in policymaking, and AI-powered research tools, focusing on data-informed decision-making and governance.
Projects3
Engineered deterministic recommendation workflows evaluating evidence quality, resource readiness, capabilities, and route constraints for disaster-response missions. Developed incident-monitoring workflows to surface unassessed geographic areas and implemented offline command queuing for connectivity-degraded environments. Built a React 19/TypeScript frontend and FastAPI backend, with PostgreSQL/PostGIS spatial-data architecture, auditable decision records, and structured mission lifecycles.
- React
- TypeScript
- FastAPI
- PostgreSQL
- PostGIS
Integrated an Isolation Forest-based anomaly-detection engine and SHAP feature attributions for transaction risk scoring and explainable alerts. Implemented transaction-network analysis using strongly connected components to identify circular transfer patterns and investigate potential money-mule networks. Contributed to transaction ingestion safeguards, authentication workflows, privacy-oriented account matching, and SHA-256 hash-chained audit logging.
- Machine Learning
- Isolation Forest
- SHAP
- Graph Analytics
- SHA-256
Designed skill-assessment and skill-gap analysis workflows to identify competency gaps and guide personalized learning pathways. Developed dedicated student, institute, and industry modules for candidate assessment, student progress monitoring, and internship and placement workflows. Implemented REST-oriented backend routes using Node.js and Express.js, with SQLite persistence, JWT authentication, password hashing, and role-based access control.
- Node.js
- Express.js
- SQLite
- JWT
Education2
BBA in Digital Business and Entrepreneurship
2026 — 2029Indian Institute of Management Bangalore (IIM Bangalore)
B.Tech
2024 — 2028GH Raisoni College of Engineering
Computer Science & Engineering