I'm a Computer Science student passionate about building AI-centric products that make developers more productive. My primary interest lies in leveraging AI to simplify complex development workflows, automate repetitive tasks, and reduce the overhead involved in building and maintaining software. I'm also interested in exploring Large Language Models (LLMs), particularly LLM memory, persistent context, and ways to make AI systems more reliable and useful over extended interactions. I enjoy experimenting with ideas, researching emerging technologies, and turning concepts into practical tools that solve real problems for developers. My long-term goal is to build intelligent, developer-focused products that seamlessly integrate AI into the software development lifecycle and help developers focus more on problem-solving and innovation rather than repetitive work.
Vice Chair
IEEE (Robotics and Automation Society) Student Branch
- Led student initiatives and coordinated technical activities, workshops, and event execution.
- Managed the chapter’s digital presence and website, maintaining online information and communications.
- Coordinated with student teams to plan technical events, manage logistics, and ensure smooth execution.
- Maintained organizational records and supported communication and coordination across chapter activities.
- Contributed to a collaborative technical community focused on robotics, automation, and emerging technologies.
AI Product Developer
Yotzeron
- Developed ML-BOT, a Python-based automation product, as the sole developer in collaboration with the Product Manager.
- Built automated data preprocessing modules to simplify machine learning workflows and reduce manual intervention.
- Engineered a reusable Python workflow automation engine for processing real-world datasets.
- Contributed across requirements analysis, implementation, testing, and debugging.
- Worked on a core workflow automation engine that was filed for a patent.
Building a vector database from scratch using the HNSW algorithm for approximate nearest-neighbor search. Designing modular components for storage, indexing, distance metrics, validation, collection management, and search. Validating functionality through pytest and continuous integration.
QA Agent — Autonomous Website Testing Agent
Developed a Python agent that autonomously tests websites from a supplied URL. Generates severity-ranked bug reports with supporting evidence and DOM screenshots.
Built an end-to-end Python pipeline for data ingestion, preprocessing, model selection, and deployment. Designed reusable components to streamline machine learning workflows and support future product integration.
Therapy AI — Local LLM Application
Developed a locally running conversational AI application using Python and Llama 3. Implemented prompt-engineered guardrails and contextual boundary controls for more controlled interactions.
Computer Science Engineering (AI & ML)
Sreyas Institute of Engineering and Technology · 8.93
Cloud Computing and Distributed Systems — NPTEL (2026)
NPTEL (2026)
May 2026Machine Learning A–Z: AI, Python & R + ChatGPT Prize — Udemy (2025)
Udemy(2026)
May 2025Self-Driving Cars and ROS 2 — Udemy (2025)
Udemy(2026)
May 2026Yotzeron
Mar 2026
Attendee · Oct 24, 2026