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Milin Bhade

Compilers @AMD | M.Tech CSA, IISc Bangalore

Bengaluru

3+ years of work experience

AMD
Jan 20268 mosPresent

Bengaluru, Karnataka, India

Samsung Semiconductor
Aug 20241 yr 7 mosFeb 2026

Bengaluru, Karnataka, India

Worked on integrating OpenXLA with a custom Processing-Near-Memory (PNM) accelerator backend to enable efficient execution of ML workloads for memory bound workloads
Shell India Markets Private Limited
Jul 20231 yr 1 moJul 2024

Bengaluru, Karnataka, India

Focused on optimizing transformer model compression through reinforcement learning-driven pruning, using models like BERT and LLaMA2. Conducted extensive research on pruning algorithms, designed and implemented custom solutions, and rigorously tested their performance across key benchmarks. 1. Compared various methods (RL-TriM, LLM-Pruner, and Uniform) with different pruning criteria (L1, L2, and Wanda), where RL-TriM Wanda achieved the best average benchmark score (0.5985) with 20% pruning and 0.26% drop in average score across LM-eval-harness benchmark 2. Automatic pruning of transformers based model for MLPs and Attention heads, with minimal performance impact using DDPG RL agent.

Milin’s AI Stack

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Education

Indian Institute of Science (IISc)

Master of Technology - MTech, Computer Science and Automation

Indian Institute of Science (IISc)

20222 yrs2024
Government  College of Engineering, Amravati.

Bachelor of Technology - BTech, Electrical and Electronics Engineering

Government College of Engineering, Amravati.

20174 yrs2021

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Headline

Compilers @AMD | M.Tech CSA, IISc Bangalore

About

Working on AOCC compilers at AMD

Location

Bengaluru

AI stack

claude code

codex

cursor

opencode

Work experience

Compiler Engineer at AMD, Jan 2026 - Present · 8 mos, Bengaluru, Karnataka, India

Senior Engineer at Samsung Semiconductor, Aug 2024 - Feb 2026 · 1 yr 7 mos, Bengaluru, Karnataka, India, Worked on integrating OpenXLA with a custom Processing-Near-Memory (PNM) accelerator backend to enable efficient execution of ML workloads for memory bound workloads

Machine Learning and IOT Intern at Shell India Markets Private Limited, Jul 2023 - Jul 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India, Focused on optimizing transformer model compression through reinforcement learning-driven pruning, using models like BERT and LLaMA2. Conducted extensive research on pruning algorithms, designed and implemented custom solutions, and rigorously tested their performance across key benchmarks. 1. Compared various methods (RL-TriM, LLM-Pruner, and Uniform) with different pruning criteria (L1, L2, and Wanda), where RL-TriM Wanda achieved the best average benchmark score (0.5985) with 20% pruning and 0.26% drop in average score across LM-eval-harness benchmark 2. Automatic pruning of transformers based model for MLPs and Attention heads, with minimal performance impact using DDPG RL agent.

Education

Master of Technology - MTech, Computer Science and Automation, Indian Institute of Science (IISc)

Bachelor of Technology - BTech, Electrical and Electronics Engineering, Government College of Engineering, Amravati.

Public links

github: https://github.com/milinbhade1214

Milin Bhade - Compiler Engineer in Bengaluru | Tal