Megha Varshney
@meghavarshney
Software Engineer building scalable backend services and ML pipelines—delivering 40% performance gains and 50% cost reductions.
IndiaWhat I'm looking for
I’m a Software Engineer with 4+ years at Salesforce and Walmart Global Tech, building scalable backend services, data platforms, and ML pipelines. I’ve driven measurable impact—40% performance gains and 50% infrastructure cost reduction—and I’m currently working on RLHF and AI agent training for frontier LLMs.
At Salesforce, I built core services for a greenfield customer onboarding and order-capture platform adopted by 12+ enterprise telecom clients at launch. I cut onboarding time from ~5 days to under 6 hours, automated ~80% of manual order-processing steps, reduced order-entry errors by 35%, and improved quote-to-order conversion by 22% through dynamic plan configuration across 50+ locations.
At Walmart, I developed a Data Clean Room platform on Snowflake for secure anonymized collaboration and built ML-powered audience targeting pipelines using Spark/Hive. I improved audience generation performance by 40%, reduced infrastructure costs by 50%, cut audience creation/refresh costs by 85%, and reduced dependent segment retrieval calls by 10x—while also automating invalid-segment detection and campaign refresh workflows to eliminate manual production support.
Experience
Work history, roles, and key accomplishments
Performed RLHF evaluations by ranking and rewriting AI-generated responses to improve accuracy, helpfulness, and safety across coding and STEM domains. Authored rubric-based golden evaluations and trained AI agents by designing multi-step scenarios and providing feedback on tool-use and decision trajectories.
Built core services for a greenfield onboarding and order-capture platform adopted by 12+ enterprise telecom clients, reducing average provider onboarding time from ~5 days to under 6 hours. Shipped end-to-end workflows that automated ~80% of manual order processing, reduced order-entry errors by 35%, and improved quote-to-order conversion by 22% via dynamic plan configuration.
Developed Walmart’s Snowflake-based Data Clean Room platform, including dataset onboarding/governance and customer-facing UI components for secure anonymized collaboration. Built ML-powered audience targeting pipelines and improved audience generation performance by 40% while cutting infrastructure costs by 50%, lowering audience creation/refresh costs by 85%, and reducing dependent segment retrie
Enhanced error logging and built growth-metrics dashboards for rebate analytics to improve visibility into analytics performance and operational issues.
Education
Degrees, certifications, and relevant coursework
Indira Gandhi Delhi Technical University for Women
Bachelor of Technology, Information Technology
2017 - 2021
Grade: 83.2%
Activities and societies: Licensee & Curator, TEDxIGDTU; Head of Website Team (IGDTUW annual cultural fest); Sponsorship Head, Finivesta; Walmart CREST Hackathon winner (2 gold medals).
Earned a B.Tech in Information Technology from IGDTUW (2017–2021), achieving 83.2%.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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