Chinmay Sharma

AI Researcher

San Francisco, California, United States3 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building ML ranking and recommendation systems.
Proven track record of improving search metrics.
Strong background in NLP and high-throughput model serving.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven recommendation systems for B2C applications.

Contact

chinmaysharmacs10@gmail.com LinkedIn

Skills

Core Skills

Machine LearningInformation RetrievalSearchDeep LearningData Science

Other Skills

Academic WritingAlgorithmsArtificial Intelligence (AI)Back-End Web DevelopmentC (Programming Language)C++Computer ScienceComputer VisionData StructuresDatabasesDimensionality ReductionDjango REST FrameworkEnglishExploratory Data AnalysisFlask

About

Machine Learning Engineer building production-scale ranking and recommendation systems for LinkedIn's home Feed. Previously at Flipkart, where I developed ML solutions that improved key search metrics. Specialized in personalized ranking, embedding-based retrieval, Large Language Models (LLMs), NLP, and high-throughput model serving. MS in CS (AI/ML) from UC San Diego. Passionate about creating ML systems that deliver measurable business impact while solving challenging technical problems. Always interested in connecting with ML practitioners working on search, recommendations, and applied AI!

Experience

3 yrs 5 mos

Total Experience

2 yrs

Average Tenure

1 yr 4 mos

Current Experience

Machine Learning Engineer

Feb 2025 – Present · 1 yr 4 mos · Sunnyvale, CA

Feed Recommendation & Ranking

Information RetrievalArtificial Intelligence (AI)Large Language Models (LLM)Machine Learning

Servicenow

Software Engineer Intern

Jun 2024 – Sep 2024 · 3 mos · Santa Clara, California, United States

Flipkart

3 roles

Software Development Engineer 2

Feb 2023 – Aug 2023 · 6 mos

Improved Search Ads fill-rate by building an intent-relaxation model to boost ad recall and implementing cross-brand ad query expansion

Machine LearningSearchData Science

Software Development Engineer 1

Jun 2021 – Jan 2023 · 1 yr 7 mos

Developed and deployed a Transformer-based spelling correction model in Python/TensorFlow to address cognitive and typographical errors in e-commerce search queries.
Engineered a low-latency (P99 <15ms) query reformulation API powered by Flipkart’s Enterprise Knowledge
Graph and a BERT-based Named Entity Recognition model to increase recall for articulation-gap queries.
Scaled query augmentation and intent understanding services to 70k QPS (6x baseline) to serve peak sale traffic by performing model inference optimizations, applying vectorization & batching strategies for high-throughput serving and effective request-level caching.

Machine LearningPython (Programming Language)TensorFlowDeep Learning

Software Engineer Intern

Jan 2021 – May 2021 · 4 mos

Built an ML-based query-expansion system using Locality-Sensitive Hashing on FastText embeddings for retrieval and an XGBoost ranker to identify semantically similar queries. Decreased null searches for low-recall
articulation-gap queries.
Optimized Map-Reduce jobs that parse search session logs by reducing shuffles, leveraging broadcast joins,
and implementing strategic caching.

Machine LearningXGBoostMap-ReduceData Science

Indian institute of technology, patna

Research Internship

May 2019 – Jun 2019 · 1 mo · Patna Area, India · On-site

Worked under Prof. Jimson Mathew on developing a machine learning framework for effective image classification in labeled data deficient cases by using transfer learning (domain adaptation)
Published a research paper on the developed algorithm.

Machine LearningTransfer Learning