As a final-year MEng Electronics and Computer Engineering student,
I specialize in advanced programming, Signal Processing,
and Digital Electronics.
My passion lies in harnessing the power of Large Language Models to create innovative solutions that benefit society.
With a lightning-fast learning curve and meticulous attention to detail, I'm on a mission to shape the future of technology.
Join me on this exhilarating journey at the cutting edge of innovation!
Ongoing training in software engineering, data structures, and algorithms, with a focus on Python, Next.js, and React.js.
Being coached by Amazon, Bloomberg, and Capital One engineers on Agile, CI/CD, Git, and microservice patterns.
Conducted cutting-edge research in Natural Language Processing, focused on enhancing trustworthiness with the latest open/close-weighted large language models such as GPT 4, Claude 3.5, & LLama-3 by using encryption with prompt jailbreaking techniques.
Designed and developed multiple Cloud distributed Restful APIs for mobile applications using Python, Natural Language Processing and NoSQL Databases.
Enhanced Generative AI Large Language models utilizing Synchronous, Asynchronous, and functional programming techniques.
Collaborated effectively within an agile team, and actively participated in daily stand-ups and sprint planning meetings, contributing to the successful delivery of multiple live projects.
A dynamic web app for mastering sign language, using Python-based Hand Detection, Mediapipe for accurate tracking, and Three.js for 3D visualization. It features a MongoDB and Flask backend for storing search histories and coordinate data for 3D hand animations.
A secure access control system using a microcontroller. It provides two levels of access control: a lower level for normal users to operate a relay (open a door) and a higher level for supervisors to set entry codes for both levels of access control.
A logic Analyzer Devloped in System Verilog to Analyze UART and SPI Signals digitally.