Anubhaw Choudhary

Lead ML Engineer

Bengaluru, Karnataka, India5 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led ML projects at Google with significant user engagement.
Expert in building scalable ML models and recommendation systems.
Published research on Generative Adversarial Networks.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in scalable AI systems and research.

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Skills

Core Skills

Machine LearningRecommender SystemsGenerative Adversarial Networks (gans)

Other Skills

AlgorithmsAmazon Web Services (AWS)Artificial Intelligence (AI)BenchmarkingBootstrapCC#C++Cloud DevelopmentComputer VisionData MiningData ScienceData StructuresDatasetsDeep Learning

About

I have professional experience designing and building large scale ML models capable of distributed training, Generative Adversarial Networks (GANs), back-end systems and APIs used at massive scale. I have worked extensively building NLP and vision based models. I've also worked on designing recommendation systems based on machine learning.

Experience

5 yrs 4 mos

Total Experience

2 yrs 8 mos

Average Tenure

3 yrs 11 mos

Current Experience

Google

Software Engineer (Machine Learning)

Jul 2022 – Present · 3 yrs 11 mos · Bengaluru, Karnataka, India

Led the ML work for a team in Google Ads, building the complete ML system from the scratch.
Designed and built a recommendation model that increased user interaction by over 70%.
Designed and implemented an ML based ranking/retrieval model to rank any entity based on user context and feedback with ultra low latency of under 20ms.
Worked on LLM fine tuning and alignment through RLHF.
Worked on building agentic system to translate user query into desired autonomous actions.
Did research in the field of learning-to-rank, vis-a-vis pointwise, pairwise and listwise approaches with different scorer architectures.
Trained models to directly optimize the information retrieval metric like NDCG by formulating an approximation framework for these non-differentiable metrics.
Designed and built the complete serving and continuous training infrastructure from scratch.

Machine LearningNatural Language Processing (NLP)Recommender SystemsGenerative Adversarial Networks (GANs)Large Language Models (LLM)Data Science+3

Sabre corporation

2 roles

Software Engineer

Aug 2021 – Jul 2022 · 11 mos

Developed biometric based check-in system used by airlines.

Machine LearningData Science

Software Engineer Intern

Feb 2021 – Aug 2021 · 6 mos

Indian institute of science (iisc)

Machine Learning Research Intern

Jun 2019 – Aug 2019 · 2 mos · Greater Bengaluru Area

Did research work focussed on Generative Adversarial Network (GAN) in Deep learning.
Worked on developing different GAN models to study semantic segmentation.
Published a research paper in Journal of Applied Remote Sensing.

Generative Adversarial Networks (GANs)Deep LearningResearch Skills