Rahul Dangi — Software Engineer

I'm a Software Engineer at Deloitte, passionate about solving real-world financial and technical problems through full-stack and backend development. My core work has been building a financial analytics application that automates NAV-adjusted cost tracking and tax-lot accounting for mutual fund portfolios. This system processes over 100 daily NAV/trade files and generates accurate realized/unrealized gains using WACC and FIFO methodologies, significantly reducing manual effort and enabling multi-client portfolio management with secure, auditable reporting. I’ve also contributed to an ETL pipeline for Expected Credit Loss computation on a ₹35,000 Cr loan book for Kotak Bank using Python, Pandas, and PySpark — reducing processing time by 60%. In addition, I optimized complex Oracle SQL queries to improve data retrieval from minutes to seconds across high-volume datasets. Beyond fintech, I enjoy building scalable web apps like Chatnova, an AI-powered group chat platform with real-time messaging, in-browser Node.js execution, and Gemini API integration. Tech Stack: React.js, Node.js, Express.js, Python, PySpark, Oracle SQL, PostgreSQL, MongoDB, Flask, Redis, JWT, Socket.io Strengths: Financial data systems, clean API architecture, data pipelines, SQL optimization, real-time apps With 600+ DSA problems solved and a strong academic foundation from IIT (ISM) Dhanbad, I bring both analytical depth and engineering execution to every problem I work on. Let’s connect if you're building the future of finance, data, or scalable systems.

Stackforce AI infers this person is a Fintech Full-Stack Developer with expertise in financial data systems and data pipelines.

Location: Mumbai, Maharashtra, India

Experience: 3 yrs 8 mos