Manish
Botta
Backend engineer building resilient distributed systems and high-scale APIs. Focused on system design, event-driven architecture, caching, and cloud-native deployments with Python and Node.js.
Systems-minded
engineer
Building production services from Vijayawada, India to California.
I'm a backend engineer who cares deeply about system design and production quality. I think about clear APIs, strong testing, observability, and pragmatic performance work across latency, throughput, and reliability.
Started my journey in Vijayawada, India, and now building high-scale services in Los Angeles, CA. I enjoy turning complex distributed problems into clean, maintainable systems.
Technical
toolkit
What shipped
in production
- Built secure backend microservices integrating HubSpot via OAuth 2.0, enabling real-time CRM sync and reducing manual handling.
- Designed scalable data ingestion pipelines for complex CRM objects to improve availability for downstream workflows.
- Deployed containerized services with CI/CD for frequent releases and reliable rollbacks, with clear API contracts and service boundaries.
- Designed and implemented distributed, event-driven backend microservices using Node.js, Python, Kafka, and Redis, scaling to 100M+ events/day with 99.9% uptime.
- Worked on system design for high-traffic services, including load balancing, horizontal scaling, and partitioned consumers for bursty enterprise workloads.
- Implemented Redis caching and rate limiting, reducing P95 latency by 40% and protecting downstream systems during spikes.
- Optimized MySQL and MongoDB using indexing, async processing, and cache-aside patterns to improve throughput under peak load.
- Built secure backend services with OAuth 2.0 / SSO, ensuring authenticated access, tenant isolation, and compliance.
- Led migration from rule-based flows to LLM-powered services, cutting maintenance overhead by 50% and accelerating delivery.
- Developed RESTful backend APIs using Java Spring Boot for a banking platform, improving response times via optimized service logic.
- Improved database access layers and query efficiency to increase backend performance and stability.
- Implemented TDD and CI/CD pipelines, achieving 80%+ test coverage and reducing production defects.
- Built backend services for a learning marketplace using Node.js and Python, supporting 1,000+ active users.
- Designed REST APIs for auth, payments, and content delivery, improving transaction reliability by 30%.
- Optimized MySQL/MongoDB schemas and deployed on AWS, reducing hosting costs by 25%.
Shipped
packages
AI Resume Builder
LLM-powered backend service that tailors resumes from job descriptions using FastAPI, async workers, and structured outputs.
CodeMate Assistant
RAG + fine-tuned assistant with API endpoints for retrieval, context packaging, and safe tool-style responses.
SimCricketX
Real-time simulation backend with match orchestration, state management, and concurrency-safe updates for multi-user sessions.
Emotion Detector
Text classification service with clean APIs, model packaging, and reproducible training/inference workflows.
Scalable URL Shortener
High-performance URL shortener with Redis caching, optimized lookup paths, and production-ready API design.