Mohit Vyas

Machine Learning Engineer

Hyderabad, Telangana, India7 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and LLMs
Proven track record in e-commerce recommendations
Strong background in machine learning and data science

Stackforce AI infers this person is a Data Scientist specializing in AI-driven e-commerce solutions.

Contact

mohitvyas1996@gmail.com LinkedIn

Skills

Core Skills

Generative AiLarge Language Models (llm)Recommender SystemsMachine Learning

Other Skills

Algorithm DesignApache SparkAzure Cosmos DBAzure Data FactoryCC++Collaborative FilteringData AnalysisDeep LearningDiscrete MathematicsGPT-4Gradient BoostingJavaMatlabNatural Language Processing (NLP)

Experience

Uber

Machine Learning Engineer II - GenAI

Oct 2024 – Present · 1 yr 5 mos

Improving customer support experience at Uber through the application of Generative AI technologies.
Specialized in training and evaluating general-purpose LLMs tailored for specific business problems.

Generative AILarge Language Models (LLM)

Microsoft

Data and Applied Scientist II

Nov 2022 – Oct 2024 · 1 yr 11 mos · Hyderabad, Telangana, India

Built shopping scenarios using LLMs:
Personalized shopping recommendation system capable of scenario specific recommendations like seasonal, inspirational, favourites, money-saving, etc.
MSN Shopping Articles generated by LLMs and vetted by human judges: https://www.msn.com/en-us/shopping/buying-guide
Develop and maintain big data pipelines across multiple projects processing 10s of terabytes of data daily in Cosmos (Microsoft equivalent of Spark)

GPT-4Large Language Models (LLM)Azure Cosmos DBAzure Data FactoryPrompt EngineeringRecommender Systems

Ebay

Data Scientist

Sep 2020 – Nov 2022 · 2 yrs 2 mos · San Jose, California, United States

Developed personalized near real time shopping recommendations platform in the Marketing Science team that recommend shopping products to the customers based on their interests.

Gradient BoostingRecommender SystemsPyTorchPython (Programming Language)TensorFlowApache Spark+6

University of illinois at urbana-champaign

Graduate Research Assistant

Aug 2018 – May 2020 · 1 yr 9 mos · Urbana-Champaign Area

Graduate Research Assistant at Forward Data Lab advised by Prof. Kevin C.C. Chang. Researched in the field of Information Retrieval and Database Systems on Entity-aware Web Indexing.

Max planck institute for software systems

Research Fellowship

May 2017 – Jul 2017 · 2 mos · Kaiserslautern, Germany

1.) Formalized axiomatic semantics of weak memory models and obtained equivalent operational characterization
2.) Formalized proof of equivalence between the two semantics in Coq, a formal proof management system
3.) Incorporated Relaxed memory operations in addition to Release-Acquire and Non-Atomic instructions in the proof of equivalence

Epfl (école polytechnique fédérale de lausanne)

Summer Research Intern

May 2016 – Jul 2016 · 2 mos · Lausanne, Vaud, Switzerland

1.) Worked on two research problems: Machine Minimization problem for Online job Scheduling and Minimum Latency Path problem
2.) Proved previously unknown properties about the structure of optimal tour of Minimum Latency Problem on Caterpillar Graphs, hardness of which is still an open problem