Swapnil Chaudhari

Associate Partner

Bengaluru, Karnataka, India16 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing AI/ML based products.
Strong background in Big Data and Data Science.
Proven track record in search relevance and personalization.

Stackforce AI infers this person is a Data Science and AI/ML expert with a focus on search relevance and big data solutions.

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Skills

Other Skills

AlgorithmsApache SparkBig DataCC++Core JavaDeep LearningEclipseHTMLHadoopHibernateInformation RetrievalJSONJSPJava

About

Experienced Software Engineer with hands on experience in Big data and Data science. Passionate about designing and building end-to-end AI/ML based products.

Experience

16 yrs 7 mos

Total Experience

4 yrs 1 mo

Average Tenure

7 yrs 11 mos

Current Experience

Myntra

5 roles

Associate Director

Promoted

Apr 2025 – Present · 1 yr

Senior Manager

Promoted

Apr 2022 – Apr 2025 · 3 yrs

Associate Architect

Oct 2021 – Apr 2022 · 6 mos

Lead Relevance Engineer

Oct 2019 – Oct 2021 · 2 yrs

Developed models for query classification, intent detection in search

Senior Relevance Engineer

May 2018 – Oct 2019 · 1 yr 5 mos

Developed an algorithm to automatically cluster products in search for broad queries.
Working on improving spell check in search

@walmartlabs india

Software Engineer III (Search and Relevance)

Jul 2014 – May 2018 · 3 yrs 10 mos · Bengaluru Area, India

Responsible for relevance and system improvements for search.
Developed an algorithm for trend detection in queries and items and promote items in search accordingly
Worked on user personalization in Search
Developed a module to improve the exposure of sale event items in search. Worked on designing a
dynamic precision cutoff algorithm to reduce noise while exposing sale event items in search
Worked on generation of queryrecommendation for Walmart.com search
Worked on identification of multi-word products from catalog
Boosted performance of two word queries in walmart.com search
Analyzed and projected impact of structured data in search to business
Built complex ETL pipelines for processing offline data for Search signals
Services: Reviewer: ICON (International Conference
on Natural Language Processing) 2014-Present