Headline

Machine Learning Engineer at Advanced Micro Devices

About

I am a currently a computer engineering student studying at IIITDM KANCHEEPURAM. I am a Data Science enthusiast and I am aiming to make a career in the same. I am trying to currently learn as many data science tools possible through courses in college and other online resources as Kaggle, Udemy etc. I am proficient in Cpp and Python. I also have good knowledge in C, JAVA, HTML, JS, NodeJS etc.

Location

Jamshedpur

AI stack

antigravity

claude code

codex

github copilot

mcp

openai

Work experience

Software System Designer 2 at AMD, Jun 2024 - Present · 2 y 4 mo, Hyderabad, • Intelligent Test Planning using Transformers: Developed an automated test-case predictor across high-dimensional configuration spaces based on incoming code changes, reducing testing effort by 50% by implementing a Fourier wave-based selection with 90% accuracy; by designing a T5-based model and configuration-aware execution heatmap for improved coverage. • Dynamic Compute-Core Performance Optimization using RL : Designed a probabilistic state estimation framework with policy-gradient RL to dynamically schedule instruction workloads across compute cores, reducing execution stalls and achieving 12% lower burst time. • Frame Generation using Asymmetrical U-Net (Patents - US19434666) : Developed a custom CNN/U-Net based architecture for intermediate frame generation, improving video playback performance and achieving 2× speedup. • Memory-Aware Training for Transformer Models : Developed a framework to analytically estimate VRAM usage and automatically select batch size and sequence length, eliminating OOM failures and achieving up to 2.3× training speedup; incorporated length-aware bucketization to improve H/W utilization.

Machine Learning Engineer at AMD, May 2023 - Jun 2024 · 1 y 1 mo, Hyderabad, • Predictive GPU Tuning and Gameplay Optimization (Patents - US20260187313A1, US20260186789A1): Improved gameplay performance and FPS consistency by 10% by developing ML and reinforcement learning-based GPU optimization models using ensemble regressors (Random Forest, KNN, Neural Networks) and 4D Q-learning for dynamic configuration tuning.

Machine Learning Intern at Titan Company Limited, May 2022 - Jul 2022 · 3 mos, Bengaluru, Karnataka, India, A forecasting model was made that could predict the future sale value at a day, month, and week level. An ensemble of models was used - LSTM, SARIMA and Rule-based method. A hyperparameter tuner was used to set the best parameter for the models being used. The cross validated accuracy was being monitored for the parameter tuning. The overall work was automated to 90 percent with the model accuracy of 95%.

Machine Leraning Intern at Tiny Banyan Technologies, Jan 2022 - Apr 2022 · 4 mos, Chennai, Tamil Nadu, India, My project was to train a Machine Learning model that could detect potholes and be able to send out the coordinates to a remote server that will plot those potholes on a map. The model that was chosen in this case was YOLO and the model was trained on a corpus of 1200 pothole images.

Web Development Intern at Academic Cell -IIITDM KANCHEEPURAM, May 2021 - Jun 2021 · 2 mos, Chennai, Tamil Nadu, India, I helped the Academic Cell IIITDM KANCHEEPURAM to automate the the marking of students reports and projects along with that i helped them with establishing a secured database using SQL to hold the student semester marks and project marks. Also, the viewing process was also refined where students can view their marks in various modes and help themselves with various split up of the marks.

Education

Bachelor of Technology - BTech, Computer Engineering, Indian Institute of Information Technology Design & Manufacturing Kancheepuram

HSC, PCM, DBMS English School