Aditya Nigam profile photo 1 on Tal

Aditya Nigam

SDE-II @ Swiggy | Ex-JFrog | 2+ YOE | Top 6% @LeetCode | Backend Enthusiast

Bengaluru

3+ years of work experience

Swiggy
Apr 20265 mosPresent

On-site

Swiggy
May 20241 y 10 moMar 2026

Remote

• Designed and built a distributed systems configuration rollout platform for 50+ Swiggy apps across 1,100+ cities, enabling 1,000+ feature launches with gradual rollouts and instant rollback. • Engineered a high-availability session management system with consent-based logout for 110K+ users, leveraging event-driven architecture (Kafka) and Redis for real-time session revocation and fraud prevention. • Spearheaded a compression strategy for intra-service communication, saving more than $12,500/month by reducing I/O overhead and improving system scalability. • Awarded MVP and AI Explorer at Swiggy for driving key tech initiatives, eliminating DynamoDB throttling and reducing RCUs by 89%, while leveraging GenAI effectively.
JFrog
Jul 20239 mosMar 2024

Bengaluru, Karnataka, India

• Engineered the Log Service microservice, optimizing logging processes and reducing database storage by 60%. • Transitioned pipeline run-service from API calls to direct database access, cutting API load by 1.58%. • Collaborated on API refactoring, applying DDD principles and achieving a 93.3% performance improvement.

Aditya’s AI Stack

claude code
claude code
codex
codex
cursor
cursor
kiro
kiro
openai
openai
claudecode
claudecode

Education

KIIT - Kalinga Institute of Industrial Technology

Bachelor's degree, Computer Science

KIIT - Kalinga Institute of Industrial Technology

20204 yrs2024
Delhi Public School - India

Delhi Public School - India

200812 yrs2020

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Headline

SDE-II @ Swiggy | Ex-JFrog | 2+ YOE | Top 6% @LeetCode | Backend Enthusiast

About

Dynamic Software Engineer | Full-Stack Developer | Microservices & Backend Architecture Specialist Passionate and results-driven Software Engineer with expertise in backend development, scalable architectures, and microservices. At Swiggy, I implemented compression strategies and an SDK for seamless config management, saving $12,500/month, reducing response times, and optimizing performance across 200+ microservices. At JFrog, I engineered scalable microservices, optimized system operations, and boosted code coverage by 22% through rigorous unit testing. Proficient in Java, Spring Boot, Golang, Node.js, TypeScript, Nest.js, React.js, Flutter, C/C++, Dart, JavaScript, HTML, CSS, SQL, and databases like PostgreSQL, MongoDB, Redis, DynamoDB, RDS. Experienced with Docker, Kubernetes, RabbitMQ, gRPC, CI/CD pipelines, REST APIs, Elasticsearch, AWS (EC2, Lambda, S3, CloudFormation), Grafana, Prometheus, and JFrog Pipelines, and leveraging Generative AI (ChatGPT, Claude) for productivity. Skilled in unit, integration, and functional testing, ensuring maintainable, high-quality software. Constantly learning and solving challenging problems, I aim to build scalable, high-performance systems that drive measurable impact.

Location

Bengaluru

AI stack

claude code

codex

cursor

kiro

openai

claudecode

Work experience

Software Dev Engineer - II at Swiggy, Apr 2026 - Present · 5 mos, On-site

Software Dev Engineer - I at Swiggy, May 2024 - Mar 2026 · 1 y 10 mo, Remote, • Designed and built a distributed systems configuration rollout platform for 50+ Swiggy apps across 1,100+ cities, enabling 1,000+ feature launches with gradual rollouts and instant rollback. • Engineered a high-availability session management system with consent-based logout for 110K+ users, leveraging event-driven architecture (Kafka) and Redis for real-time session revocation and fraud prevention. • Spearheaded a compression strategy for intra-service communication, saving more than $12,500/month by reducing I/O overhead and improving system scalability. • Awarded MVP and AI Explorer at Swiggy for driving key tech initiatives, eliminating DynamoDB throttling and reducing RCUs by 89%, while leveraging GenAI effectively.

Software Engineer Intern at JFrog, Jul 2023 - Mar 2024 · 9 mos, Bengaluru, Karnataka, India, • Engineered the Log Service microservice, optimizing logging processes and reducing database storage by 60%. • Transitioned pipeline run-service from API calls to direct database access, cutting API load by 1.58%. • Collaborated on API refactoring, applying DDD principles and achieving a 93.3% performance improvement.

Education

Bachelor's degree, Computer Science, KIIT - Kalinga Institute of Industrial Technology

Delhi Public School - India

Public links

github: https://github.com/Adi2209

leetcode: https://leetcode.com/nigamadi2209