AI Software Engineer
I build scalable gen-AI applications that solve real-world problems
The future belongs to the one who adapts..
I'm a passionate about building scalable web applications and gen-AI solutions. My expertise spans across modern web technologies, cloud platforms, and AI.
I thrive on solving complex problems and turning innovative ideas into reality. Whether it's architecting microservices, optimizing database performance, or implementing AI solutions, I approach every project with curiosity and attention to detail.
When I'm not coding, you can find me exploring new technologies, chess, music, or enjoying outdoor adventures. I believe in continuous learning and sharing knowledge with the developer community.
July 2024 - July 2025
Chennai, Tamil Nadu, India
Built and deployed full-stack AI systems, including RAG chatbots, applicant tracking system, predictive analytics engine, and document-to-podcast generator for 4000+ users.
March 2024 - May 2024
Implemented tokenizers and advanced prompting techniques to minimize hallucinations in different LLMs. Optimized the prompt for Chatzy's LinkedIn extension to achieve user-specific goals and for Chatzy's Flowbot agent to shift to a cost-effective model.
May 2023 - July 2023
Hyderabad, Telangana, India
Completed a project titled "An alternative approach to demand forecasting using hierarchical transfer learning based on a CNN encoder-decoder network, Control Variable Optimisation and Adrishya"
Virginia Tech
2025 - 2027
Indian Institute of Technology, Guwahati
2020 - 2024
This project enhances the accuracy of traffic sign and signal detection in low-light environments by integrating YOLOv9 with Generative Adversarial Networks, tailored for Indian road conditions.
This work proposes a novel demand forecasting method leveraging hierarchical transfer learning with a CNN encoder decoder network to improve accuracy across diverse business contexts.
An intelligent customer loyalty management system powered by Google's Agent Development Kit (ADK) and Gemini 2.5 Flash that helps airlines manage customer loyalty programs, check discount eligibility, and send personalized booking encouragement messages.
An automated repository auditing agent that leverages AI to perform code analysis at senior engineer level. Identifies architectural issues, security vulnerabilities (OWASP risks, SQL injection, XSS), credential leakage, and provides scalability recommendations including microservices guidance.
A comprehensive monorepo template built with Turborepo for managing multiple applications and shared packages in a single repository. Features task automation, remote caching support, and pre-configured code quality tools with TypeScript support across all packages.
An AI-powered system for NBA marketing directors featuring automated fan sentiment analysis, AI-driven event and content planning, and predictive trend forecasting. Uses multi-agent architecture to reduce planning burden while improving decision reliability.
An advanced cybersecurity platform combining AI agent orchestration with network reconnaissance capabilities. Features specialized "Avenger" agents that work collaboratively to conduct comprehensive security assessments through natural language commands with built-in ethical scanning controls.
An AI-powered platform that automatically extracts, analyzes, and structures financial data from various document formats (PDFs, images, statements) and ingests it into Snowflake. Features LangGraph-based workflow orchestration with automatic database schema generation.
I'm always interested in new opportunities and exciting projects. I'm also actively looking for Summer 2026 AI internship opportunities. Want to discuss? I'd love to hear from you!