Vipul Gupta

Co-Founder

Bengaluru, Karnataka, India9 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Ph.D. in EECS from UC Berkeley
Experience at top tech companies
Expertise in large-scale machine learning

Stackforce AI infers this person is a Machine Learning and AI expert with a strong focus on cloud computing and large-scale systems.

Contact

Skills

Core Skills

Machine LearningLarge Language Models (llm)Generative AiNatural Language Processing (nlp)Distributed ComputingCloud ComputingDeep LearningComputer VisionAlgorithms

Other Skills

FinetuningLangchainPython (Programming Language)SQLAmazon Web Services (AWS)PyTorchRayGraph LearningTensorFlowAnalyticsHigh Performance Computing (HPC)Technical PapersPresentationsC++docker

About

I graduated with a Ph.D. from the EECS department at UC Berkeley, where my research lay at the intersection of machine learning, cloud computing, and statistics. I was mainly motivated by problems with various practical applications. In the past, I have also worked at Bytedance, Facebook, and Apple where I applied my research ideas to solve several problems of practical interest in large-scale machine learning and AI. Before that, I graduated from IIT Kanpur with a Bachelors and Masters in Electrical Engineering.

Experience

9 yrs 7 mos

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 9 mos

Current Experience

Microsoft

Principal Applied Scientist

May 2025 – Present · 1 yr · Bengaluru, Karnataka, India · Hybrid

Building LLM-based large retrieval models that power Bing search, Bing ads and Microsoft Copilot.

Large Language Models (LLM)Machine LearningCloud Computing

Coinbase

Senior ML Engineer

Aug 2024 – May 2025 · 9 mos · Bengaluru, Karnataka, India · Remote

Innovating at the intersection of ML and Blockchains.

Revsure ai

2 roles

Advisor

Jul 2024 – Present · 1 yr 10 mos

Continuing to work with RevSure in an advisory capacity, where I offer strategic guidance on ML and Generative AI methodologies to drive innovation and enhance the RevSure platform.

Consultant, Generative AI

Jul 2023 – Jun 2024 · 11 mos

Driving Generative AI Innovation at RevSure.AI

FinetuningLangchainLarge Language Models (LLM)Natural Language Processing (NLP)Generative AI

Uptrain

Co-Founder

Sep 2022 – Jul 2023 · 10 mos · San Francisco, California, United States

Built UpTrain, a popular open-source package with more than 2k GitHub stars, to evaluate, test and monitor LLM models. It helps users check their LLM applications' performance on aspects such as correctness, structural integrity, bias, hallucination, etc.
Learn more: https://github.com/uptrain-ai/uptrain

Python (Programming Language)Natural Language Processing (NLP)Generative AISQLAmazon Web Services (AWS)Machine Learning

Bytedance

Research Scientist

Jun 2021 – Nov 2022 · 1 yr 5 mos · Mountain View, California, United States

Developing efficient algorithms for training large ML models distributedly on the cloud. Specifically, working on the Ray ecosystem to digest and process large-scale graph data for graph-based learning and recommendations.

PyTorchRayDistributed ComputingNatural Language Processing (NLP)Graph LearningAlgorithms+3

Facebook

Research Engineer

May 2020 – Dec 2020 · 7 mos · Menlo Park, California, United States

Took a summers and a semester off during my Phd to work at Meta (then Facebook).
Developed state-of-the-art techniques to improve the training efficiency of deep learning recommender models while working with the ML infrastructure team at Facebook. Further, implemented these research ideas into production models at Facebook to see practical improvements in end-to-end training times.

PyTorchPython (Programming Language)C++Natural Language Processing (NLP)PresentationsMachine Learning+3

Apple

AI Research Intern

May 2019 – Sep 2019 · 4 mos · Cupertino

Worked with the AI Research team at Apple on devising algorithms for large-scale distributed training of Deep Neural Networks with the objective of improving the model performance.

PyTorchdockerPython (Programming Language)Computer VisionPresentationsAlgorithms+1

Microsoft

Visiting Researcher

Dec 2017 – Jan 2018 · 1 mo · Bangalore

Developed efficient schemes for straggler mitigation in Apache REEF for several distributed linear algebra and machine learning algorithms using ideas from information and coding theory.

C++PresentationsMachine LearningAlgorithms

Uc berkeley

Graduate Student Researcher

Aug 2016 – May 2021 · 4 yrs 9 mos · Berkeley, CA

Ph.D. student in the Department of EECS at UC Berkeley, where I collaborated with Profs. Kannan Ramchandran, Thomas Courtade, and Michael Mahoney on developing fast and principled algorithms for machine learning on the cloud. Our schemes were inspired by ideas from applied statistics, optimization, and information theory.

PyTorchAnalyticsDistributed ComputingPython (Programming Language)High Performance Computing (HPC)Natural Language Processing (NLP)+10

Epfl (école polytechnique fédérale de lausanne)

Visiting Researcher

May 2015 – Jul 2015 · 2 mos · Lausanne Area, Switzerland

Compressed EEG signals by selecting a minimum number of components from its Hadamard transform and facilitated an efficient recovery of the input signals with state-of-the-art performance results.