Part of the Generative AI team. Working on accelerating deep learning inferences.Responsibilities: - Implementing, testing and validating different ML operators / kernels - Building different LLMs and Vision models using these operators to be tested on the AI Engine.- Implementing bit exact models for the kernels and the designs- Compute and Memory based Software and Hardware optimisations - Validation, scripting and automation ; adding on to existing infrastructure.

Worked as an Intern in the AI Engine team.Responsibilities:Optimising ML Inferences further through compute, memory, communication configuration through hardware as well as software implementation choices.

Worked as a Teaching Assistant.Subjects:CS F320 Foundations of Data ScienceCS F407 Artificial IntelligenceCS F372 Operating Systems Also working as a Student Researcher. Research areas : Computer Architecture, ML/AIProjects:- SARSA ( Reinforcement Learning ) based pre-fetching model.- Load balancing and TSV placement in 3D NOC based architecture.

Worked as a Python developer.Key responsibilities: • Understanding requirements, and appropriately designing and implementing various enterprise applications / modules, API• Developing quality code• Testing• Solving critical & prod issues

Worked in the Jio Business Operations Networking & Development team ( Service Validation team )

Worked as a Web Dev Intern, on following projects / POCs :• Data transmission via Ultrasound using Javascript ( sonicnet.js )• Face recognition app using Python, Django, Keras & Tensorflow