Pranav Kumar Kota

AI, Graphics, & GPUs - Graphics Research Team

TA for Heterogeneous Computing for Signals and Data - Prof. Zoran Kostic Assisted 30+ students in the course Developed detailed guides to setup compute infrastructure on Google Cloud Platform, working with GPUs, installing CUDA toolkit. Introduced AI acceleration with GPUs using a CNN system Introduced profiling with NVIDIA Nsight Compute

Graduate Student Researcher under Prof. Zoran Kostic. Worked on Heterogenous computing with a focus on application in accelerated AI.

SWE for Lemi.ai - LLMOps SaaS • Created a Shopify chatbot extension for product reviews using OpenAI API. Performed RAG for generation of accurate reviews • Prototype was tested with sample reviews. Collaborated with a cross-functional team of five, including software engineers and project managers, to ideate, engineer, and deliver solutions, enhancing project efficiency and product quality

Worked as an undergraduate researcher in the Nanophotonics Lab at IIT Hyderabad. • Investigated coherence properties of surface plasmon excitations. • Developed Photonics Integrated Chip (PIC) modules for Quantum Key Distribution (QKD) applications using Synopsys Optsim.

• Developed a browser-based spectacle try-on application in React.js, using TensorFlow.js for face recognition. • Identified three challenges – estimation of scale, annotation of spectacles, limitations of model in correctly estimating landmarks for skewed orientations of the face, and addressed the issues in the prototype developed.

Coursework: • Advanced Deep Learning • Deep Learning on the Edge • Bayesian Models for Machine Learning • Computer Architecture

I explored the areas of IC design, Machine Learning and Signal Processing, semiconductor physics, and photonics as I pursued my B.Tech in Electrical Engineering. My motivation for doing so was to develop a fundamental understanding of the technologies that impact the world and to also learn how the world is impacted by these technologies. I developed a deep appreciation for the complexities of systems that affect the everyday life of humanity. Towards the end of my education here, I wanted to continue this exploration at a greater depth and proceed to work on products that serve fulfilling purposes. Coursework: • Data - DSP, Convex Optimization, Pattern Recognition and Machine Learning, Topics in Signal Processing, Image and Video Processing, Data Science Analysis. • Circuit Design - Digital System Design, Analog IC Design. • Physics - Electromagnetism, Semiconductor Physics, Computational Nanoelectronics, Quantum and Nanophotonics.