Vibhuti Mahajan

Software Engineer

Los Angeles, California, United States9 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Deep Learning.
Experience deploying models at scale in tech industry.
Strong academic background with a Master's in Data Science.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on scalable AI solutions.

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Skills

Core Skills

Machine LearningSoftware DesignSoftware Engineering

Other Skills

Retrieval-Augmented Generation (RAG)Large Language Models (LLM)C++Python (Programming Language)JavaBayesian optimizationGenetic algorithmsDeep LearningNLPStatistical data analysisData ScienceAlgorithmsData StructuresComputer VisionStatistics

About

Experienced Research Engineer with a demonstrated history of working in the internet industry. Skilled in Machine Learning, Deep Learning, NLP and Statistical data analysis. Strong engineering professional with a Master’s Degree focused in Data Science from Columbia University in the City of New York.

Experience

Google

3 roles

Staff Software Engineer

Promoted

Apr 2025 – Present · 11 mos

Retrieval-Augmented Generation (RAG)Machine Learning

Senior Software Engineer

Promoted

Oct 2022 – Apr 2025 · 2 yrs 6 mos

Software DesignLarge Language Models (LLM)

Software Engineer

Jan 2021 – Oct 2022 · 1 yr 9 mos

https://lens.google/

C++Software Engineering

Ebay

Research Engineer

Mar 2018 – Jan 2021 · 2 yrs 10 mos · San Francisco Bay Area

Structuring Natural Text.
Deploying machine learning models at scale.

Python (Programming Language)JavaMachine Learning

Graphen

Intern

Sep 2017 – Dec 2017 · 3 mos · New York City Metropolitan Area

Created a streamlined process for speeding up training of data-driven algorithms. Used bayesian optimisation and genetic algorithms (Particle Swarm Optimization) for automatic hyperparameter tuning that speeds up training-inference iterations.

Amazon lab126

Applied Scientist Intern

May 2017 – Aug 2017 · 3 mos · San Francisco Bay Area

(Alexa Machine Learning)
Speaker identification (voice based speaker recognition) for Alexa.
Used bi-directional attention on LSTM and Feed-Forward units (separate experiments) to predict similarity of physical sound waves.
Presented findings at Amazon Research Symposium.