I am a Full-Stack Software Engineer with experience building, optimising, and deploying applications from concept to production. Professionally, I've specialised in enhancing large-scale e-commerce platforms, where I've architected payment solutions, integrated third-party APIs to cut delivery errors, and optimised performance to reduce API latency by 37.5%. Beyond my professional work, I am deeply passionate about Generative AI and machine learning. I have hands-on experience building conversational AI assistants with Gemini LLM and developing recommendation engines from the ground up. My project work showcases my experience with modern stacks, including building full-stack apps with Next.js, MongoDB and Redis and deploying them with Docker and AWS. I am always excited to leverage my skills in Python, JavaScript, and AI to build efficient, user-centric solutions.
Software Engineer Specialist
ValueLabs
- Architected reusable, PCI-compliant payment solutions for CyberSource and Braintree, contributing to a checkout success rate increase from 98.5% to 99% by incorporating advanced security checks with libraries like Jscrambler.
- Drove a 3% reduction in delivery failures by successfully integrating the Experian address validation API into the Next.js application, which minimised address-related errors and reduced re-shipment costs.
- Engineered a sophisticated rule-based promotion engine with a clear front-end display to manage complex offers based on user status, thus significantly improving checkout clarity and flow.
- Optimised full-stack application performance, reducing API response times by 37.5% (from 800ms to 500ms) and improving page load speeds by 0.75s through strategic implementation of React.js core concepts like code-splitting, lazy loading, and suspense.
- Refactored the Flask backend to integrate an automated MFA enrollment flow, utilising users’ demographic data to pre-configure SMS and email, thus reducing setup friction for 3M+ users. Optimised account recovery processes (password/username), which led to a 25% reduction in security-related support tickets.
Software Engineer Intern
ValueLabs
- Built data pipelines using Apache PySpark, Hadoop, Hive, Python and Bash scripting.
Stock Market AI Agent
Full-stack financial analysis platform powered by Gemini LLMs and Google ADK. Built with React and FastAPI, it orchestrates multi-agent systems via Model Context Protocol (MCP) to serve real-time stock insights, mutual fund data via yfinance, and financial news.
AniDex
Full-stack anime tracking platform built with Next.js, MongoDB, and Redis for low-latency state and watchlist management. Features NextAuth.js (OAuth & email), Dockerized deployment on AWS, and an integrated Gemini LLM chatbot built with Flask for specialized anime recommendations
Bachelors of Engineering
Osmania University
Google Cloud
Attendee · Oct 24, 2026