Specializing in designing, developing, and deploying scalable, production-grade ML and data-driven systems. Passionate about Coding, AI, and Machine Learning.
I am a Machine Learning Engineer with 4+ years of experience designing, developing, and deploying scalable, production-grade ML and data-driven systems. I have proven expertise in the full software development lifecycle (SDLC), MLOps, and large-scale system optimization using Azure and PyTorch.
Currently, I am working as a Senior ML Engineer at Robert Bosch, where I lead technical strategies for automation and data projects. I enjoy solving complex problems and mentoring teams to deliver robust solutions.
A computer vision application that translates American Sign Language alphabets into text in real-time using MediaPipe and PyTorch. Repository includes trained models and Docker container.
An AI-powered dictionary that translates English words into detailed American Sign Language (ASL) descriptions using Google Gemini.
Designed and developed a full-stack, Duolingo-inspired web application to teach American Sign Language (ASL). Engineered a mastery-gated learning system with quizzes and dynamic level progression.
Developed an Xception-based deep learning classifier (96% Kappa Score) to detect diabetic retinopathy. Integrated Grad-CAM to provide Explainable AI insights for medical diagnosis.
Publication (IEEE): Developed a lightweight and automated sign language recognition system achieving 90%+ accuracy using deep learning and Mediapipe.
BTech in Electrical and Electronics
GPA: 8.5/10.0
Coursework: Python, Data Structures & Algorithms, Database Management Systems, Machine Learning
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions.