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About

Software Engineer with 3+ years designing scalable backend systems. Currently at Juspay building NammaYatri — infrastructure that processes millions of daily rides across India. The kind of work where every millisecond and every rupee of infra cost matters.

My work spans the full backend depth: Redis slot optimization, Kafka consumer tuning, CloudWatch-based auto-scaling, and CPU profiling in Haskell. I care about systems that are observable, cost-efficient, and stay up when traffic spikes unexpectedly.

40% latency reduced · 50% infra cost cut · 3+ years production experience

Vijay Gupta
  • roleSDE @ Juspay
  • locationBengaluru, India
  • focusDistributed Systems
  • open toRemote / Relocation

Stack

stack.ts 
// Languages
import { Haskell, Python, C++, JavaScript, PureScript, SQL } from "languages"

// Data & Messaging
import { Redis, Valkey, Kafka, RabbitMQ, PostgreSQL, Clickhouse } from "data-layer"

// Backend
import { Node.js, Express, REST_APIs, Microservices } from "backend"

// Cloud & DevOps
import { AWS, Kubernetes, Docker, Git, CI_CD } from "infrastructure"

// Engineering focus
const focus = [
  "System Design",
  "Performance Tuning",
  "Distributed Systems",
  "DSA & OOP",
]

Work

May 2023 — Present

Juspay — NammaYatri

Software Development Engineer
  • Cost Optimization & Efficiency
  • Architected a high-throughput KV storage framework using Redis, cutting PostgreSQL database cost by 40%.
  • Introduced table-level sharding and optimized Redis slot allocation, reducing memory overhead and Redis node count by 30%.
  • Cut AWS ALB costs by 25% via API response compression and zone-aware routing strategies.
  • Upgraded Redis → Valkey + zstd compression: 50% decrease in memory usage and instance cost.
  • Scalability & Architecture
  • Implemented auto-scaling for Redis and RDS using custom CloudWatch metrics for seamless traffic spike handling.
  • Decoupled the drainer service for async, resilient syncing to Clickhouse and PostgreSQL.
  • Reduced CPU bottlenecks via multithreading in high-throughput services, cutting container scaling needs.
  • Performance & Developer Efficiency
  • Reduced backend latency by 40% via CPU profiling, I/O optimization, and dependency trimming.
  • Built Automated Regression Testing (ART) framework — QA time reduced by 60%.
  • Developed dynamic real-time pricing engine and ETA predictor, improving rider experience and reducing cancellations.
HaskellPureScriptRedis (Valkey)KafkaPostgreSQLAWSKubernetesClickhouse
Jun 2022 — Apr 2023

Vahan

Software Development Engineer I
  • Redesigned backend for an AI-driven WhatsApp Bot — API response time down 40%, user engagement up 35%.
  • Implemented concurrent chat processing, reducing telecalling costs by 32% through automation.
  • Built fallback data collection for Uber, achieving 98% data accuracy during system outages.
  • Automated application status tracking via offline data uploads to data warehouse.
Node.jsReact.jsPostgreSQLRedisRabbitMQ

Builds

Multi-Cloud DB Manager

Unified database manager supporting multi-cloud deployments with automatic failover and read replica routing.

TypeScriptPostgreSQLRedis

NodeSage

CLI tool for codebase understanding using local LLMs with RAG architecture — ask questions about any repo.

Node.jsOllamaRAG

k8s-dashboard

Kubernetes cluster monitoring dashboard with real-time metrics, pod health visualization, and resource utilization charts.

FastAPIReactKubernetes

Location Tracking Healthcheck

@ Juspay

Real-time system to detect stalled GPS updates for active drivers — improving dispatch accuracy by 20% across 200k+ daily rides. Optimized Redis Streams cut location latency by 15%.

HaskellRedis Streams

Master Oogway

Post-release observability platform with LLM-powered RCA. Reduced MTTR by 50% and incident detection time by 70%.

PythonFastAPIPrometheusKubernetesAI

Bus Route Tracker

Open-source platform to collect, confirm, and manage bus stop & route data with real-time GPS tracking and RESTful admin APIs.

PythonRedisClickhouseKotlin

WriteMyText

Convert typed text into handwritten-style images using Canvas API with custom font rendering and styling options.

JavaScriptCanvas API

Education

Degrees

B.Tech, Computer Science
Kamla Nehru Institute of Technology, Sultanpur
2018 – 20228.5 CGPA
Higher Secondary (PCM)
St. Handel Public School, Allahabad
2015 – 2017

Certifications

Recommendations

"Vijay was a fantastic person to work with — multi-skilled, insightful, and a person with very strong problem-solving skills. His focus keeps everything moving smoothly, deadlines are met, and whatever project he is working on meets the highest standards. An asset to any company."

Naman Samaiya SDE3 @ Vahan · IIIT Bhagalpur

"Vijay impressed me with his positive attitude and strong work ethic. Always eager to learn, great initiative on challenging projects. His technical skills are equally impressive — it was clear from the beginning that he has a great deal of potential."

Ketan Patil Engineering Manager @ Vahan

"Vijay's technical knowledge, attention to detail, and problem-solving skills are unmatched. He was always a key contributor to our team's projects. I highly recommend Vijay for any opportunity he pursues."

Contact

location Bangalore, India
email vijayrauniyar1818@gmail.com