Shreyas Tripathi

AI Researcher

Bangalore Urban, Karnataka, India5 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in Machine Learning and NLP with practical applications.
Developed innovative tools for optimization problems at Qualcomm.
Passionate about AI, continuously updating skills through certifications.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in software development and AI applications.

Contact

Skills

Core Skills

Machine LearningPython (programming Language)Natural Language Processing (nlp)

Other Skills

Algorithmic TradingAndroid StudioBashC (Programming Language)C++Competitive ProgrammingComputer VisionCore JavaCucumberData ScienceDeep LearningEclipseGitGitlabInternet Security

About

Currently I am a Machine Learning Engineer @Google. Previously, I worked as a Software ML Engineer with ~4+ years of experience at Qualcomm, involved in the R&D of cutting-edge tools in the VLSI as well other domains . In my stint at Qualcomm, I have been involved in variety of domains such as R&D in a Optimization Problems, Deep Learning, NLP, Low-latency Parser developments, Tool's Flow & GUI development. I am proficient in C/C++, Python, bash. I am enthusiastic towards various fields of AI and I keep myself updated with the latest research in the community. For this, I have also done a variety of Certifications such as ML in Trading Specialization, Deep Learning Specializations, NLP Specialization, GANs & Reinforcement Learning etc. I am also an avid coder and have also delved in the fields of parallel Computing, QA and automation testing(TDD and BDD both). I am an enthusiastic learner , passionate about my work and always ready to learn new things in different domains. I always look forward to work on challenging and out-of-the box ideas.

Experience

Google

ML Engineer

Oct 2024 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

Qualcomm

2 roles

Senior Software Engineer

Dec 2023 – Oct 2024 · 10 mos

Software Engineer

Jul 2020 – Dec 2023 · 3 yrs 5 mos

Currently working on development of application on how to solve a variety of physical design problems using Machine Learning techniques.
Developed Jirabot : a NLP based Jira ticket recommendation system for Qualcomm Jira issues.

Python (Programming Language)Machine LearningPyTorchC++BashC (Programming Language)+10

Citi

Summer Analyst

May 2019 – Jul 2019 · 2 mos · Pune Area, India

My work here consisted of upgrading FAST a Selenium & Cucumber-BDD based Automation Testing Framework, and using this framework to automate applications using FAST.
I also helped in data retrieval and onboarding process of the new Citi services.
Exposure : Selenium, Cucumber & BDD, JUnit, TestNg, Java

창원대학교(changwon national university)

Research Intern

May 2018 – Jul 2018 · 2 mos · Changwon, Gyeongsangnam-do, Korea

1. Developed a new HDR imaging method namely HDR image generation using Inverted Local Patterns with their Saturation Compensation. This HDR Imaging algorithm is currently under review for a Korean patent.
2. Developed real time speed sign recognition system based on CtC (Centroid to Contours) algorithm, and showed it as a proof of work for one of the research papers on the same by our mentor.

Raja ramanna centre for advanced technology (rrcat)

Intern

Nov 2017 – Dec 2017 · 1 mo · Indore Area, India

Worked on simulation of a capillary tube based laser experiment on COMSOL, in order to verify the the experimental results.
Also developed a wide scale wireless display system (capable of synchronous displaying) and also developed other miscellaneous projects using various other modules like digital watch, GPS tracking system etc, as auxiliary projects.

Indian institute of technology (banaras hindu university), varanasi

Research Project

May 2017 – May 2017 · 0 mo · Varanasi Area, India

1. Developed the indoor navigation system for a semi-autonomous wheelchair using SLAM(Simultaneous Localization and Mapping) by using the fusion of data collected from LIDAR (Light Detection and Ranging), infrared and ultrasonic sensors.
2. Reduced error produced in these dynamic mapping SLAM Algorithm using a modified Kalman filter .