<Tej Narayan Singh />

Namaste World

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

Software Development Engineer II with 2.8+ years of experience building low-latency, high-throughput distributed systems. I work across Java services, event streams, caching strategies, and real-time platform workflows.

What I Do

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

Distributed Product Systems

  • Build and evolve production backend services for high-traffic consumer platforms.
  • Design resilient models and service contracts for atomic updates and backward compatibility.
  • Enable dynamic banner/product workflows using thresholds and event triggers.

Data and Lifecycle Automation

  • Implement automation pipelines that replace static rule trees with adaptive logic.
  • Create archival systems using performance signals to reduce clutter and improve efficiency.
  • Apply cache-aware validation to maintain consistency during high load.

Proficiency

A profile aligned to backend architecture and platform throughput.

Backend Architecture93%
Distributed Streaming and Async Workflows90%
Data Systems and Caching88%
Production Ownership and Rollouts91%

Education and Experience

Academic foundation plus production engineering execution.

Flipkart | Software Development Engineer II June 2023 - Present

Owned backend features in the Multi-Clickable Banner Framework and lifecycle automation systems.

  • Enabled multiple URLs per banner with independent health validation.
  • Built automated product-based banner generation and archival pipeline.
  • Delivered XtraSaver offer-trigger activation with cache-aware consistency checks.
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.
  • Contributed to Control Plane tooling for query analysis and inconsistency resolution.
NSUT, Delhi | B.Tech Information Technology Aug 2019 - May 2023

GPA 7.51. 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

Inventory optimization assistant with demand forecasting, safety stock modeling, and expiry-aware reorder logic to guide supplier and stock decisions.

Event Driven Forecasting Decision Engine

TestPaper

AI-powered question generation and tagging platform with dynamic paper assembly, unified MySQL schema, and personalized result annotations.

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.