- π Google Student Ambassador: Strategic lead for developer community growth and technical workshop execution.
- π©βπ» Open Source Contributor: Actively contributing to real-world projects in the GirlScript Summer of Code (GSSoC '26).
- π€ AI/ML Developer: Specialized in low-latency LMM inference and production-grade Generative AI pipelines.
- π‘οΈ Cybersecurity Intern: Completed a professional internship focused on penetration testing, cryptography, and secure system design through IBM Skills Build.
- The Problem: Data exfiltration in highly sensitive, isolated environments.
- The Solution: Engineered a secure bridge using FastAPI for controlled data transit and Firebase for real-time state management. Implemented core monitoring logic in JavaScript & Python for performance.
- Key Impact: Maintained 99.9% isolation integrity; designed a modular API schema following OpenAPI standards to ensure open-source extensibility.
- The Problem: Lack of reliable employment infrastructure in low-connectivity rural areas.
- The Solution: Developed a privacy-first matching engine using TensorFlow Lite for edge inference. Integrated Dialogflow to facilitate natural language labor queries.
- Key Impact: Reduced matching latency by 40%; created a scalable, multi-lingual architecture ready for community-driven localization.
- The Problem: High response latency in mental health support applications.
- The Solution: Optimized inference using the Groq API (Llama-3.1) and Whisper API. Crafted a soothing Glassmorphism UI with CSS3 and Vanilla JS for high engagement.
- Key Impact: Achieved sub-100ms response times for token streaming; reached 88% sentiment detection accuracy in diverse user scenarios.
- The Problem: Insecure transmission of sensitive data over public channels.
- The Solution: Designed a pixel-level encryption tool using Python and OpenCV to hide data within carrier images.
- Key Impact: Achieved 100% data recovery with zero detectable visual variance, adhering to rigorous cryptographic benchmarks.