Bikram Jha

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

Key Highlights

  • Expert coder with 5* rating at CodeChef.
  • Built scalable solutions handling 500K+ requests per minute.
  • Major contributor to in-house ads and gamification platform.
Stackforce AI infers this person is a Backend-heavy Fullstack engineer with expertise in high-performance SaaS solutions.

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Skills

Core Skills

Systems DesignDistributed Systems

Other Skills

Go (Programming Language)GolangAmazon Web Services (AWS)GrafanaKubernetesApache AirflowPython (Programming Language)Google Cloud Platform (GCP)Machine LearningHTMLCascading Style Sheets (CSS)JavaScriptData StructuresAlgorithmsEngineering

About

Competitive Coder. 5* at codechef and Expert rated coder at codeforces. Built Scalable solutions at Zepto and ShareChat. Major contributor in design and development of in house ads and gamification platform .

Experience

2 yrs 10 mos
Total Experience
1 yr 3 mos
Average Tenure
4 mos
Current Experience

Uber

Software Engineer II

Jan 2026Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

Zepto

2 roles

SDE-2

Promoted

Oct 2024Jan 2026 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

  • Own and maintain services handling 500K+ requests per minute with average latencies of 100ms and 0 downtime, powering major monetization pipelines across the platform. Designed for horizontal scalability, graceful failovers, and observability, with deep focus on performance tuning and GC optimizations.
  • Designed and implemented a high-performance microservice for Zepto’s ad product catalog(Ads Catalogue Service) , enabling real-time stock and product updates with 30ms P99 latency and eliminating reliance on core service APIs.
  • Designed and launched a config-driven ad-ranking (Ads Ranking Service) microservice supporting pagewise and weight-based scoring with multi-attribute relevance experiments, removing the need for developer intervention.
  • Integrated advanced monitoring and alerting pipelines (Grafana, Prometheus etc.) to ensure 99.99% uptime and quick mitigation of anomalies. Proactively tracked system KPIs, identified bottlenecks, and improved overall system reliability and developer experience.
  • Responsible for design, development, deployment, and monitoring of core ad-serving components.Regularly perform code reviews with emphasis on test coverage, design clarity, and scalability. Set a high bar for code quality and best practices across the team.
Systems DesignDistributed Systems

SDE-1

Apr 2024Sep 2024 · 5 mos · Bengaluru, Karnataka, India · Hybrid

  • Implemented a high-performance personalized ads pipeline for the home page vertical feed, integrating real-time user context, ranking models, and ad eligibility logic. Designed scalable APIs and caching layers to support low-latency delivery at scale. Resulted in a 22% increase in CTR (0.50% vs. 0.41%) and 3x growth in revenue per impression.
  • Designed a modular backend for PLA ads, exposing RESTful APIs for campaign configuration, inventory ingestion, candidate generation, and real-time auctions. Built a highly concurrent ranking engine with multi-stage filtering and relevance-based scoring. Sustains majority of ads traffic with <70ms response times.
  • Architected and led the development of a dynamic runtime bidding engine(RTB) with multi-strategy support and intelligent lexical score balancing, driving a 13% increase in Zepto’s ad revenue.
Systems DesignDistributed Systems

Sharechat

2 roles

SDE-1

Jun 2023Apr 2024 · 10 mos · Hybrid

  • Part of SC and MOJ Ads Relevance team where work mostly revolves around auction , bidding, ranking and relevance of Ads .
  • Worked on the promoted posts architecture and end to end delivery of the project which increased the swvp to ~15% from ~5% and also HTC posts which we have seen 50% uplift in engagement along with cost gains .
  • Led the onboarding of ARS Hamsa architecture which is in-house in-house vector search platform for ML teams/services .
  • execution of Dependency Injection modifications in the ARS service, ensuring a flawless implementation which increases the unit test coverage of the service by 40%.
  • Worked on Data Observability in the system and built Feature Health.
Systems DesignGo (Programming Language)

Software Engineer Intern

Jun 2022Jun 2023 · 1 yr · Hybrid

  • Worked on Data Observability in the system and built Feature Health.
  • Led the onboarding of TARDIS (in house feature store) for ads use case .

Education

Kalyani Government Engineering College

Bachelor of Technology - BTech — Computer Science and Engineering

Jun 2019May 2023

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