Skip to content
manish.dev
Open to backend/AI opportunities

Manish Reddy

Backend Engineer building resilient, distributed systems and high-scale APIs. Strong in system design, microservices, event-driven architecture, caching, rate limiting, and cloud-native deployments with Python and Node.js.

System design Event-driven (Kafka) Caching & rate limiting
Contact View projects GitHub

About

Systems-minded engineer

Hello, I’m Manish

Backend engineer focused on scalable, reliable systems. Started in Vijayawada, India and now building production services in California.

I care about system design and production quality: clear APIs, strong testing, observability, and pragmatic performance work (latency, throughput, and reliability).

Cricket Simulators LeetCode Cooking
terminal — read-only
whoami

manish@server:~$ whoami

{
  "name": "Manish Reddy",
  "role": "Backend Engineer (Distributed Systems)",
  "origin": "Vijayawada, India",
  "location": "Los Angeles, CA"
}

Tip: This keeps your terminal vibe but stays lightweight and accessible.

Skills

Technical toolkit

Languages

Python Java JavaScript Node.js

Backend & APIs

System design Load balancing Rate limiting FastAPI Flask Express Microservices REST gRPC GraphQL

AI & ML

LLM integrations RAG pipelines NLP Document parsing Scikit-learn

Data & Messaging

PostgreSQL MySQL MongoDB Redis Kafka Queues & streams Partitioning

Cloud & DevOps

AWS (EC2, S3) CloudWatch Docker CI/CD GitHub Actions Linux

Experience

What shipped in production

Software Engineer (Contract) — Navi Technologies

Aug 2025 — Present

OAuth / Integrations
  • 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.
Node.js TypeScript Redis JWT

Software Engineer — Yellow.ai

Sep 2021 — Jul 2023

Conversational AI
  • 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.
Python AWS Docker Kafka

Trainee Analyst — Cognizant

Mar 2021 — Aug 2021

Banking APIs
  • 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.
Java Spring Boot Microservices

Software Engineer — Achiwer

Apr 2019 — Oct 2019

Learning platform
  • 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%.
Java Node.js MongoDB AWS

Projects

Shipped packages

AI Resume Builder

LLM-powered backend service that tailors resumes from job descriptions using FastAPI, async workers, and structured outputs.

Python RAG FastAPI

CodeMate Assistant

RAG + fine-tuned assistant with API endpoints for retrieval, context packaging, and safe tool-style responses.

LLM Fine-tuning Python

SimCricketX

Real-time simulation backend with match orchestration, state management, and concurrency-safe updates for multi-user sessions.

Flask State management Docker

Emotion Detector

Text classification service with clean APIs, model packaging, and reproducible training/inference workflows.

Scikit-learn Flask NLP

Scalable URL Shortener

High-performance URL shortener with Redis caching, optimized lookup paths, and production-ready API design.

Redis Node.js MongoDB

Meeting Intelligence Platform

Distributed meeting intelligence backend: queue-based pipeline for transcription + summarization with retries, idempotency, and rate limiting.

FastAPI Redis queues Docker

Contact

Get in touch

The inbox is always open—questions, opportunities, or a quick chat about backend systems, system design, and scalable architectures.

Email Resume