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Building scalable systems & AI-powered solutions
Passionate about clean architecture, performance optimization, and creating impactful technology.
Software Engineer with 2+ years of hands-on experience building scalable web and mobile applications across healthtech, AI, and platform development domains. Skilled in full-stack development with expertise in .NET, React, Python, and cloud technologies.
Currently contributing to enterprise-scale projects at Providence India, including an AI-powered network management system handling 40K+ devices and a real-time analytics platform aggregating data from 3000+ teams. Strong focus on clean architecture, performance optimization, and solving complex technical challenges.
Deep diving into Generative AI and LLMs to become an AI Generalist. Exploring LangChain, prompt engineering, RAG systems, and building intelligent applications that leverage the power of modern AI.
April 2025 - Present
July 2023 - March 2025
January 2023 - June 2023
October 2022 - December 2022
Created React Native Android app deployed by Tamil Nadu Government with live video streaming and GPS tracking for agricultural assessments, improving field data reporting speed by 70%.
November 2021 - October 2022
May 2022 - July 2022
Explored Microfrontend architecture using Single-SPA to develop modular, independently deployable UI components, enabling seamless collaboration across teams.
January 2022 - July 2022
Revamped the React Native wealth management app by redesigning core UI flows, implementing responsive dashboards, and integrating real-time financial data APIs. Enhanced user experience, security, and performance for cross-platform deployment.
Vellore Institute of Technology, Chennai
2019 – 2023 | CGPA: 8.86
Developed a classroom application featuring web-proctored exams, assignment submission, performance
analysis, and feedback functionalities.
GitHub Link
Built a facial recognition-based attendance system using OpenCV, Tkinter, PIL, and Pandas,
automating student attendance with manual entry and export features.
GitHub Link
(Finalists JPMC CFG) Developed a MERN-based system for volunteer and event
management, with integrated data analytics, chatbot support, and email notifications.
GitHub Link
Created a Chrome extension to blur sensitive content during online meetings for enhanced privacy,
allowing content access through user interaction.
GitHub Link
Developed an Arduino-based system to control laptop functions (scroll, tab switch, volume) through
hand gestures, enhancing accessibility.
GitHub
Link
Developed an end-to-end NLP suite for education, featuring note-taking via speech-to-text, text
summarization, FAQ-based query bot, and text-to-speech for notes. Integrated with a modern frontend
for seamless user experience.
Frontend Repo |
ML Backend Repo
2nd Place among 16,000+ participants
Top 20 Finalist (6,000+ participants)
Top 1% (50 out of 4,959 teams)
National Finalist 2022
Providence India 2023 - Solo backend delivery in first 6 months
350+ Problems Solved | Striver A2Z DSA
IEEE Xplore - Speech-to-text based fake news detection using deep learning
achieving
98%+ accuracy across multiple input formats
Publication
Link
Taylor & Francis - An adaptive traffic control system uses computer vision (YOLO)
and machine learning to optimize traffic light timing in real time, reducing congestion by analyzing
live traffic flow data.
Publication Link
Open to exciting opportunities in tech companies and AI-focused roles. Let's build something amazing together!