Alumni

Jump to Doctoral Students, Masters Students, Undergrad Students.

Doctoral Students

Shalini Jain

PhD, 2015-2023
Thesis: Reinforcement Learning based Compiler Optimizations for Size and Performance
Next: Qualcomm compilers team

Utpal Bora

M.Tech + PhD, 2014-2022
Thesis: Techniques for Static Detection of Data-Races in OpenMP Programs
Next: PostDoc at University of Cambridge, UK


Masters Students

Soumya Banerjee

M.Tech RA, 2022-2025
Thesis: Bridging Static and Dynamic Analyses for Binary Similarity and Inlining-Cost Modeling
Next: Qualcomm ML Compilers team

Raj Ambekar

M.Tech RA, 2022-2025
Thesis: Use After Scope (UAS) bug detection in multi-threaded programs - Benchmarking and Evaluation
Next: ONIX

Sayan Dey

M.Tech RA, 2022-2025
Thesis: IR-based matching of Binary and Source Code
Next: Qualcomm ML Compilers team

Shikhar Jain

M.Tech RA, 2022-2025
Thesis: Study of trade-offs for DVFS and Powercapping in modern CPUs
Next: Texas Instruments

Tamal Mondal

M.Tech RA, 2021-2024
Next: Software Engineer at Oracle

Kuldeep Gautam

M.Tech RA, 2020-2023
Thesis: A Dataset for Code Comprehension and Experiments with Binary Similarity
Next: AIRA Matrix AI Team

Anilava Kundu

M.Tech RA, 2020-2023
Thesis: Engineering Aspects of Machine Learning in Compilers
Next: Imagination Technologies compilers team

Gagandeep Goyal

M.Tech RA, 2019-2022
Thesis: Profile Guided Intelligent Compilers
Next: AMD compilers team

Shailendra Dilip Singh

M.Tech, 2019-2021
Thesis: Vectorization and Code-Summarization using IR2Vec
Next: Adobe

Rohit Aggarwal

M.Tech RA, 2018-2021
Thesis: Applying Machine Learning Techniques to Compilers and Programs
Next: AMD compilers team

Gayatri PK

M.S., 2015-2019
Thesis: GPU-Based Multi-Level Parallelization for Hines Solver and Some Related Problems
Next: Qualcomm compilers team

Anirudh Sundar Subramaniam

M.Tech, 2016-2018
Thesis: Optimization and parallelization of tensor and ODE/PDE computations on GPU
Next: Xilinx compilers team

Abhishek A Patwardhan

M.Tech RA, 2015-2018
Thesis: Polyhedral Compilation:Applications, Approximations and GPU-specific Optimizations
Next: Nvidia compilers team

Dangeti Tharun Kumar

M.Tech RA, 2015-2018
Thesis: Vectorization, Obfuscation and P4 LLVM Tool-chain
Next: AMD compilers team


Undergrad Students

Ashwin Agrawal

Duration: 2022-2026
Next: Salesforce

Rajiv Chitaley

Duration: 2021-2025
Next: PreDoc Researcher, Google DeepMind
Projects: Worked on ML Compiler Bridge, RL4ReAl, ML Vectorization

Rajapu Jaychandra Naidu

Duration: 2021-2025
Next: Compiler Engineer, AMD

Ananya Varshney

Duration: 2021-2025
Next: AI Compiler Engineer @Qualcomm CR&D

Gorantla Pranav Sai

Duration: 2020-2024
Next: Compiler Engineer AMD

Umesh Kalvakuntla

Duration: 2020-2024
Next: Compiler Engineer at Quadric
Projects: Worked on RL4ReAl, ML Compiler Bridge

Yashas Andaluri

Duration: 2017-2022 (B.Tech + M.Tech)
Thesis: Packet Processing Algorithm Identification using Program Embeddings
Next: Qualcomm compilers team

Shraiysh V

Duration: 2017-2021
Next: Deep Learning Compiler Engineer NVIDIA

Sukrut Rao

Duration: 2015-2019
Next: Joined as a Doctoral student in Max Planck Institute for Informatics

Prateek Kumar

Duration: 2015-2019
Next: Senior Rust Engineer in Astra Tech

Pankaj Kukreja

Duration: 2015-2019
Next: Senior Software Engineer Uber

Rahul Utkoor

Duration: 2014-2019 (B.Tech + M.Tech)
Thesis: A Loop-level Analysis and Optimal Sub-sequence Mining
Next: PHD IIT Madras

Annanay Agarwal

Duration: 2014-2018
Next: Grafana Labs

Malhar Thakkar

Duration: 2013-2017
Next: AI Compiler Engineer at Tesla Autopilot

Keyur Parag Joshi

Duration: 2013-2017
Next: Software Engineer at Google

Prateek Bhatu

Duration: 2012-2017 (B.Tech + M.Tech)
Thesis: A Study of Software Prefetching in LLVM
Next: AMD compilers team

Ajay Brahmakshatriya

Duration: 2012-2016
Next: Founder and CEO at Build4Sim Inc.

Bhargav Reddy

Duration: 2011-2015
Next: Staff CPU Architect at AheadComputing