Sukrit Kumar

Graduate Teaching Assistant @ Georgia Institute of Technology

About

Experienced with building efficient and reliable large-scale software systems. I have worked on building AI Infra systems at ShareChat and Amazon as well as building AI tools for improving performance and reliability of large-scale systems at Microsoft Research. I am currently interning at the Amazon AGI team in their Data team. I'm also working at the intersection of Machine Learning and Systems at the Systems for AI Lab (SAIL) at GeorgiaTech. In addition to hands-on engineering experience, I bring a strong research background, including work recognized at top conferences I’m actively exploring full-time opportunities in Software Engineering, Machine Learning Engineering, Data Science, or Research. Feel free to connect and drop a me a message to discuss any interesting opportunities or collaborations.

Country

United States

City

Atlanta

Industry

Computer Software

Skill

Machine Learning Systems, Cloud Computing, AWS Cognito, Amazon Web Services (AWS), Cloud Com, AWS CDK, Extract, Transform, Load (ETL), PySpark, Amazon Elastic MapReduce (EMR), OpenSearch, AWS Lambda, Problem Solving, LLM, vLLM, Large Language Models (LLM), Multi-agent Systems, Deep Learning, Kubernetes, Go (Programming Language), Kusto Query Language (KQL)

Experience

Graduate Teaching Assistant

Georgia Institute of Technology

2024-8 - Present · 2 yrs 2 mos

Atlanta, Georgia, United States

• Working on building next-generation of LLM serving systems • GTA for Design- Operating Systems (CS 3210) course. • GTA for the Systems for Machine Learning (CS 8803 SMR) course. • Funded by SCS GTA Fellowship. Research assistant in Systems for AI Lab (SAIL) @ GaTech

SDE Intern

Amazon

2025-5 - 2025-8 · 4 mos

Bellevue, Washington, United States

Part of the AGI Infra team

Pre-Doctoral Researcher (Research Fellow)

Microsoft

2023-7 - 2024-7 · 1 yr 1 mo

Bengaluru, Karnataka, India

M365 Research Team • Action risk analysis for LLM-based workflow automation • Working on improving reliability of large-scale container platforms inside Microsoft • Conducted survey to help understand how developers spend their time • Advisors: Suman Nath, Chetan Bansal, Ankur Mallick, Tom Zimmerman, BASH, Brian Houck

Data Science Intern

ShareChat

2023-1 - 2023-6 · 6 mos

Bengaluru, Karnataka, India

• Developed and Deployed Ranker models leveraging historical user and session data • Found and reduced loss of historical user events by over 70% • Created model monitoring setup to monitor offline-online gap • Built and scaled multiple ML systems across the RecSys pipeline across features and model inference

Undergraduate Teaching Assistant

BITS Pilani, Hyderabad Campus

2022-9 - 2022-12 · 4 mos

•Teaching Assistant for CS F372, Operating Systems (Semester 1 AY 2022-23) •Designed 2 assignments in C so that students get a deeper understanding of the POSIX library and an instructor friendly evaluation system for grading of over 300 students •Provided instructional & in-person support by conducting tutorials in C.

Software Intern

Arista Networks

2022-5 - 2022-7 · 3 mos

• Part of the WiFi CloudVision Team • Built the AP Health Dashboard, allowing user's to view CPU/Memory utilization of access points • Designed novel technique to efficiently calculate percentile values on an distributed multi-tenant DB • Awarded Peer Bonus

Deep Learning Intern

CSIR-CEERI

2021-5 - 2021-7 · 3 mos

• Developed and worked on two different implementations of CapsuleNets using Tensorflow • Trained and tested models on MNIST,FashionMNIST,CIFAR-10 • Achieved 99.47% validation accuracy on MNIST and 92.94% accuracy on FashionMNIST dataset • Implemented a dual attention based Capsule Network with 1-2% accuracy improvements across different datasets

Education

Georgia Institute of Technology

Computer Science

2024-8 - 2026-5 · 1 yr 10 mos

Recipient of SCS GTA fellowship. Awarded for outstanding research potential Coursework : - Computer Vision - Big Data Analysis & System - Deep Learning - Machine Learning