Jobos User

I’m an aspiring software developer with hands-on experience in building impactful applications. I leverage cutting-edge technologies like MERN stack, machine learning, and data visualization to solve real-world challenges, with a strong focus on creating user-centric, data-driven solutions that make a difference.

In my current role as an HPC Intern at Defence Research Development Laboratory- DRDL, I accelerated CPU workloads using CUDA C, achieving up to 91.7% runtime reduction through efficient GPU parallelization. I also implemented and evaluated NVIDIA MPS to enable concurrent multi-process GPU execution, improving SM utilization and throughput.

I’ve sharpened my performance engineering skills through 50+ performance profiling, debugging, and kernel optimization sessions (including tool-driven stability work for Reynold’s Equations). I’ve also worked on HPC scaling and performance analysis across multi-node, multi-GPU setups, identifying node topology and MPI communication overhead as key scalability factors.

On the product side, my projects reflect my ability to turn data into decisions: I developed LSTM and BiLSTM forecasting models for Smart India Hackathon 2024 (finalist) and built a low-latency MERN-based facial expression tracking system for dyslexic kids using a ViT model (96% accuracy). I’m energized by building systems end-to-end—modeling, APIs, dashboards, and secure user experiences—while continuously improving reliability and real-world usability.