Abhinav Kumar
Backend Software Engineer
I build scalable backend systems, APIs, and distributed services with Python, Go, Java & NodeJS — optimized for performance, reliability, and real-world.
Technical Arsenal
Backend, distributed systems, and cloud engineering skills aligned with global Python & Go roles.
Go & Python Core
- Go (Golang)
- Goroutines & Channels
- Context & Cancellation
- Go Profiling (pprof)
- gRPC & Protobuf
- Python 3.10+
- Asyncio & Async APIs
- Type Hints & mypy
- FastAPI
Backend Architecture
- REST API Design
- JWT / OAuth2
- Pagination & Filtering
- Rate Limiting
- Microservices
- Event-Driven Architecture
- Circuit Breakers
Databases & Streaming
- PostgreSQL
- Query Optimization
- Transactions & Isolation
- Redis (Caching)
- MongoDB
- Apache Kafka
- Elasticsearch
Cloud & DevOps
- AWS (EC2, S3, RDS)
- Docker
- Kubernetes
- Terraform
- CI/CD (GitHub Actions)
- Linux
Observability & SRE
- Prometheus
- Grafana
- OpenTelemetry
- Structured Logging
- SLIs / SLOs
System Design & Security
- Scalability & Load Balancing
- Caching Strategies
- Graceful Shutdowns
- OWASP Top 10
- RBAC & API Security
Professional Journey
Building value through engineering excellence.
Software Developer 1
Collegedunia- Owned a greenfield Spring Boot MVC CRM replacing Zoho, saving licensing costs and enabling 200+ internal users.
- Optimized MySQL queries and indexes to achieve p95 < 150ms on core workflows.
- Implemented Redis caching strategy, reducing ad-asset retrieval p95 by 60%.
- Integrated GitHub Actions CI and Docker for automated releases and rollbacks.
Backend Developer
Pinsout Innovation- Built Spring Boot microservices processing 10k+ daily records with validation and deduplication.
- Hardened services with idempotency keys and retry mechanisms, stabilizing SLAs.
- Mentored interns on Java OOP and DTO/entity mapping best practices.
Featured Projects
Engineering solutions for real-world problems.
A scalable and fault-tolerant distributed file system designed to store, manage, and serve very large files across a cluster of nodes. The system uses chunk-based storage, coordinated metadata management, and data replication to ensure high availability, durability, and efficient large-file access.
A production-ready full-stack movie streaming system with a scalable Golang backend, modern React frontend, MongoDB data layer, and AI-powered search and recommendations using OpenAI and LangChainGo.
Ready to Scale?
I am currently open to backend engineering roles (Remote or Relocation). Let's discuss how I can contribute to your team's engineering goals.
© 2025 Abhinav Kumar