Atishay Kumar profile photo 1 on Tal

Atishay Kumar

Software Engineer at Google

Bengaluru

10+ years of work experience

Google
Feb 20224 yrs 7 mosPresent

Bengaluru, Karnataka, India

Samsung Electronics
Mar 20202 yrsFeb 2022

Bengaluru Area, India

> Implemented a Proof of Concept for a Reinforcement Learning based memory repair solution using AlphaZero. Scaling the POC for larger chips sizes with optimizations to AlphaZero. > Lead developer for a 6 member team designing and implementing a novel scoring-based redundancy analysis algorithm using C++ from scratch.
Samsung Electronics
Jul 20172 yrs 9 mosMar 2020

Bengaluru, Karnataka, India

> Developed Clustering and Deep Learning based approaches for repair algorithm recommendation allowing runtime reduction by up to ~3.2%. > Learned to compile, run, log and debug the BIOS code on Grantley and Kabylake boards. Identified the Row and Column increment pattern in the test data in the test module from the Logic Analyzer which accelerated the development of test cycles for mass production. Used mcelog and EDAC to experiment with correctable DRAM errors and identified the scope of future projects in the team. > Proposed and implemented a memory fault simulator using statistical models for different stages of device manufacturing using mass production data. > Mentored a team of summer interns and 6-month interns, proposing, guiding, and managing their projects. > Presented several Tech Talks like Manufacturing and Redundancy Analysis algorithms, Impact of temperature on DRAM retention, Use Case Study of Machine Learning in DRAM, How to Write a Research Paper, and a complete series on Reinforcement Learning
Samsung Semiconductor
Jan 20176 mosJun 2017

Bengaluru, Karnataka, India

> Developed a Qt-based UI application for mass production engineers. Implemented the coordination and mapping algorithm between two detailed views in the UI with the help of QT signals and slots. Improved the parsing time by >50% via map-reduce operations. > Proposed, designed, and implemented a cache manager reducing the UI loading time by ~10x for cached data and a settings menu allowing the user to tweak appearance, caching, and logger settings.
WebEngage
May 20163 mosJul 2016

Mumbai Area, India

> Webengage Salesforce Connector: Implemented multiple account mapping features allowing a user to map multiple salesforce accounts to a single webengage account thus allowing a single survey to push leads into multiple tables via one webhook. > Added Lead editing feature along with an administrator view dashboard displaying the total synced and unsynced leads and allowing editing of leads in case of an error. Displayed error fields and marked them for easy editing if known. > Kotak Security Servlet: Developed a web servlet to handle survey responses from a webhook. Decreased erroneous requests by ~15% with an email auto-correction survey handling servlet using Levenshtein distance.
euprime
Mar 20162 mosApr 2016

Manipal, Karnataka

> Developed history storage and update features for a Flask-based tool similar to google sheet with auto-save allowing loading of previous dataset instances. Wrote functions for the transportation problem (Operations Research) for the analysis toolkit. > Contributed to developing the back-end of a web application for Data Analysis using flask and MongoDB by implementing functions for the web toolkit like new, open, analyze, auto-save to save and update the database.

Atishay’s AI Stack

antigravity
antigravity
claude code
claude code
cursor
cursor
deepseek
deepseek
gemini
gemini
notebooklm
notebooklm

Education

Georgia Institute of Technology

Master of Science - MS, Computer Science

Georgia Institute of Technology

20193 yrs2022
Manipal institute of technology

Bachelor's degree, Computer Science

Manipal institute of technology

20134 yrs2017

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Atishay Kumar on Tal

Headline

Software Engineer at Google

Location

Bengaluru

AI stack

antigravity

claude code

cursor

deepseek

gemini

notebooklm

Work experience

Software Engineer at Google, Feb 2022 - Present · 4 yrs 7 mos, Bengaluru, Karnataka, India

Associate Staff Engineer at Samsung Electronics, Mar 2020 - Feb 2022 · 2 yrs, Bengaluru Area, India, > Implemented a Proof of Concept for a Reinforcement Learning based memory repair solution using AlphaZero. Scaling the POC for larger chips sizes with optimizations to AlphaZero. > Lead developer for a 6 member team designing and implementing a novel scoring-based redundancy analysis algorithm using C++ from scratch.

Software Engineer at Samsung Electronics, Jul 2017 - Mar 2020 · 2 yrs 9 mos, Bengaluru, Karnataka, India, > Developed Clustering and Deep Learning based approaches for repair algorithm recommendation allowing runtime reduction by up to ~3.2%. > Learned to compile, run, log and debug the BIOS code on Grantley and Kabylake boards. Identified the Row and Column increment pattern in the test data in the test module from the Logic Analyzer which accelerated the development of test cycles for mass production. Used mcelog and EDAC to experiment with correctable DRAM errors and identified the scope of future projects in the team. > Proposed and implemented a memory fault simulator using statistical models for different stages of device manufacturing using mass production data. > Mentored a team of summer interns and 6-month interns, proposing, guiding, and managing their projects. > Presented several Tech Talks like Manufacturing and Redundancy Analysis algorithms, Impact of temperature on DRAM retention, Use Case Study of Machine Learning in DRAM, How to Write a Research Paper, and a complete series on Reinforcement Learning

Student Trainee at Samsung Semiconductor, Jan 2017 - Jun 2017 · 6 mos, Bengaluru, Karnataka, India, > Developed a Qt-based UI application for mass production engineers. Implemented the coordination and mapping algorithm between two detailed views in the UI with the help of QT signals and slots. Improved the parsing time by >50% via map-reduce operations. > Proposed, designed, and implemented a cache manager reducing the UI loading time by ~10x for cached data and a settings menu allowing the user to tweak appearance, caching, and logger settings.

Intern at WebEngage, May 2016 - Jul 2016 · 3 mos, Mumbai Area, India, > Webengage Salesforce Connector: Implemented multiple account mapping features allowing a user to map multiple salesforce accounts to a single webengage account thus allowing a single survey to push leads into multiple tables via one webhook. > Added Lead editing feature along with an administrator view dashboard displaying the total synced and unsynced leads and allowing editing of leads in case of an error. Displayed error fields and marked them for easy editing if known. > Kotak Security Servlet: Developed a web servlet to handle survey responses from a webhook. Decreased erroneous requests by ~15% with an email auto-correction survey handling servlet using Levenshtein distance.

Software Engineering Intern at euprime, Mar 2016 - Apr 2016 · 2 mos, Manipal, Karnataka, > Developed history storage and update features for a Flask-based tool similar to google sheet with auto-save allowing loading of previous dataset instances. Wrote functions for the transportation problem (Operations Research) for the analysis toolkit. > Contributed to developing the back-end of a web application for Data Analysis using flask and MongoDB by implementing functions for the web toolkit like new, open, analyze, auto-save to save and update the database.

Education

Master of Science - MS, Computer Science, Georgia Institute of Technology

Bachelor's degree, Computer Science, Manipal institute of technology