<Tej Narayan Singh />

Namaste World

I am Tej Narayan Singh.
Backend Engineer for high-scale systems.

Backend Software Engineer with 3 years building distributed systems at scale. Specialized in Java/Kafka microservices processing 80K+ QPS with sub-millisecond latency. Delivered features generating ₹27Cr+ revenue while reducing costs 40% through caching optimization.

Contact Me

What I Do

Backend engineering focused on reliability, scale, and data-driven platform behavior.

High-Scale Backend Systems

    Design and deploy distributed microservices handling 80K+ QPS with sub-millisecond latency. Built production systems serving millions of daily users on Flipkart's homepage, processing 4M+ banners daily with cache-aware validation for consistency.

Event-Driven Architecture & Real-Time Processing

    Build Kafka-based event streaming pipelines and Spark workflows for large-scale data processing. Specialized in asynchronous systems with fault-tolerance and exactly-once delivery semantics for mission-critical applications.

Performance Optimization & Caching

    Optimize system throughput using Redis, Aerospike, and multi-tier caching strategies. Reduced downstream call costs and improved performance by 40% through intelligent cache invalidation and consistency protocols.

Data-Driven Product Engineering

    Transform business requirements into scalable technical solutions with measurable impact. Delivered features generating ₹27 crore revenue in first week and improved CTR by 7.8% through automated, product-driven banner systems.

System Design & Architecture

    Lead end-to-end ownership from HLD/LLD to production rollout. Design backward-compatible data models, automated archival pipelines, and ranking mechanisms that reduced irrelevant data by 60%.

Mentorship & Technical Leadership

    Generated ₹27 crore in first-week revenue by designing automated banner system that replaced static flows with dynamic product logic, while mentoring 3 junior engineers through implementation.

Proficiency

A profile aligned to backend architecture and platform throughput.

High-Scale Microservices (Java/Golang)95%
Event Streaming & Real-Time Processing (Kafka/Spark)92%
Caching & Performance Optimization (Redis/Aerospike)90%
System Design & Architecture (HLD/LLD)88%
Cloud Infrastructure & K8s Orchestration82%
Production Ownership & Incident Management93%

Experience

Academic foundation plus production engineering execution.

Flipkart | Software Development Engineer II June 2023 - Present
  • Multi-Clickable Banner Framework
    • Increased homepage CTR by 7.8% by spearheading backend architecture (HLD/LLD) for Multi-Clickable Banner Framework enabling multiple landing pages with independent validation protocols
    • Ensured zero-downtime migration by designing backward-compatible data models in MySQL, optimizing banner update latency from 500ms to 120ms
  • Automated Product-Based Banner Generation
    • Designed, enhanced and mentored junior engineers by taking ownership of an automated banner generation system replacing static rule-based flows with dynamic product-driven logic.
    • Reduced cost of real-time downstream calls and improved performance, Guided with 40% of homepage banners which accounts for around 4 million banners generated daily with revenue of 27 crore in first week of launch.
  • Archival System
    • Reduced storage costs by 60% and improved query performance by implementing threshold-based automated archival pipeline for 10M+ banner records.
    • Delivered ranking mechanism by showing more relevant context for users, by reducing irrelevant data count by 60%.
  • ExtraSaver Enablement (Flipkart Minutes ExtraSaver)
    • Strengthened offer-trigger-based banner activation logic based on dynamic pricing thresholds for Xtrasaver. Boosted recommendation quality for grocery items in Flipkart Minutes, resulting in significant GMV impact across major stores.
    • Delivered Redis-based cache-aware validation with TTL optimization and invalidation protocols to ensure consistency under 80K QPS traffic
S&P Global | Intern June 2022 - July 2022

Worked on database migration quality and internal debugger tooling.

  • Supported relational migration from PostgreSQL to MySQL with schema and query validation.
    Migrated 150+ database schemas from PostgreSQL to MySQL, validating 10K+ queries with 99.8% compatibility rate.
  • Built debugger tools audit for internal banking delivery platforms for analyzing query performance and resolving system inconsistencies (Control Plane tool)
NSUT, Delhi | B.Tech Information Technology Aug 2019 - May 2023

GPA 8.5. Built core understanding in DSA, OOP, and scalable systems fundamentals.

Projects

Backend-heavy projects with optimization and recommendation workflows.

Cashflow Supplier and Expiry Reorder Assistant

GitHub
  • Executed inventory optimization assistant with demand forecasting, safety stock modeling, and expiry-aware reorder logic
  • Scaled to event-driven architecture for actionable stock and supplier decision recommendations
  • Tech Stack: Java, SpringBoot, MySQL, Redis
Event Driven Forecasting Decision Engine

TestPaper

GitHub
  • Built question generation pipeline using GPT-3.5 API with custom prompt engineering, generating 10K+ tagged questions across 20+ topics
  • Implemented MySQL schema with full-text search supporting 100+ concurrent users
  • Tech Stack: Java, SpringBoot, MySQL, Redis, React, Open AI Api
AI Pipeline MySQL Adaptive Assessment

Highlights

Competitive performance and impact signals from my journey so far.

Achievements

  • Global Rank 1034 in Google Kick Start Round A.
  • World Rank 8232 in Google Hash Code.
  • Selected for national-level presentation at Philips Healthcare for ML-based disease prediction solution.

Work Style

  • Ownership of production systems with measured rollout strategy.
  • Bias toward automation and data-backed product decisions.
  • Focus on reliability under high traffic and distributed failure conditions.

Contact Me

Open to backend platform roles and system design opportunities involving high-scale consumer traffic, distributed workflows, and data-intensive product features.

tejnarayan950@gmail.com +91 8510990988 LinkedIn GitHub