Harsh Gupta

Senior Software Engineer

Bengaluru, Karnataka, India6 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in systems design and scalable architecture.
  • Proven track record in enhancing search functionalities.
  • Strong background in generative AI applications.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in E-commerce and Travel industries.

Contact

Skills

Core Skills

Systems DesignGenerative Ai ToolsSoftware Development Life Cycle (sdlc)

Other Skills

KubernetesDesign DocumentsMicroservicesBack-End Web DevelopmentCore JavaConcurrent ProgrammingApache SparkApache AirflowScalabilityPython (Programming Language)SearchDropwizardSemantic SearchMavenMySQL

About

Likes to comes up with technological solutions to difficult problems.

Experience

Linkedin

Senior Software Engineer

Sep 2025Present · 6 mos · Bengaluru

Flipkart

3 roles

SDE-3

Mar 2025Sep 2025 · 6 mos

SDE-2

Promoted

Mar 2022Mar 2025 · 3 yrs

  • As a part of the Search Semantics team:
  • Worked on designing, developing and evangelizing of the retraining platform used for regular retraining of the models present within the ecosystem, responsible for processing of more than 5 TB of data and deploying in critical user paths with zero downtime.
  • Worked on optimising the search graph database, and developing strategies to shard the same to scale beyond 30B edges and 60M nodes.
  • Worked on designing and developing solutions to increase relevant recall of the system of various BUs like Grocery, Mobiles, and revamp of the UI/ UX as well of the same. This resulted in increase in search CTR by 50 bps, decrease in null searches by 70 bps,and increase in revenue by 24 bps.
  • Worked on identifying and solving problems through the use of generative AI to improve the query understanding in critical user paths. This resulted in increase in revenue by 0.3%, search CTR by 0.2% and decrease in search pain by 10 bps.
  • Worked on scaling of semantics services to handle upto a QPS of 80K for various BBD editions, Flipkart's flagship annual sale event, and also mentored various folks for the same.
  • Enhancing the SDLC processes within the team by writing coding practice guidelines, integration with SonarQube, and enabling tech sharing across the team.
  • Collaborating with various functions like Product, UI/ UX, Partner teams (internal and external to Search), Business teams to drive various projects right from requirements gathering to taking them live.
Systems DesignGenerative AI Tools

SDE-1

May 2021Mar 2022 · 10 mos

  • As a part of the Search Semantics team:
  • Worked on improving the spell correction module by solving for various types of query error classes ex: alphanumeric queries etc. which resulted in increase of spell accuracy by 2%, decrease in search pain by 20 bps, and % users saying irrelevant results by 0.98%.
  • Worked on designing and developing distributed caching for the spell service, which results in more than 20% latency drops during peak traffic hours.
  • Acted as a SPOC to scale the semantics services to around 80K QPS for the BBD, Flipkart's flagship yearly sale event.
  • Worked on designing (HLD and LLD) of the retraining platform for regular retraining of the various models present within the search ecosystem.
Systems DesignKubernetes

Traveloka

2 roles

SDE-2

Promoted

Mar 2021May 2021 · 2 mos

  • - Ideated personalisation in search ranking.
Systems DesignDesign Documents

SDE-1

Aug 2019Feb 2021 · 1 yr 6 mos

  • As a part of Search Platform Team:
  • Worked on building self managed ElasticSearch:
  • a. Built service to modify ES (instance type, EBS storage, number of nodes, ES version etc.), without any search or indexing downtime.
  • b. Automated various parts of infra as IaaC.
  • c. Ran various load tests for self managed ES.
  • d. Developed code within search application to support migration to self managed ES from AWS managed ES.
  • e. Helped various other teams within Traveloka to migrate to Self Managed ES.
  • Developed an highly asynchronous auxiliary pipeline within Indexing Service, which resulted in 50% better latencies and 35% less primary Database CPU.
  • Redid the caching layer of Search Service.
  • Representing Search Team, by acting as SPOC with different product teams.
  • Re-architecting of search as a service.
Software Development Life Cycle (SDLC)Microservices

Maxwholesale

Software Engineer Intern

Jul 2018Nov 2018 · 4 mos · New Delhi Area, India

Back-End Web Development

Education

Maharaja Surajmal Institute Of Technology

Bachelor of Technology - BTech — Information Technology

Jan 2015Jan 2019

N C Jindal Public School

High School

Jan 2012Jan 2015

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