AJAY PRAJAPAT

Sr. Fullstack Engineer & Tech Lead | React · Go · High-Performance Backend · Microservices

ajayprajapat@live.com+91-87699-62237linkedin.com/in/ajayprajapatUdaipur, India

Professional Summary

Senior Fullstack Engineer and Tech Lead with 12+ years of experience delivering modern React frontends backed by high-performance Go microservices. Combines React product engineering depth with Go's strengths in concurrency, throughput, and low-latency API design. Proven in logistics, IoT, and real-time platform environments where React UIs must remain responsive while Go backends handle high-frequency data, concurrent processing, and reliable service-to-service communication. Ajay builds React + Go systems where both layers are optimized for performance — React UIs that handle real-time updates efficiently, and Go backends that process concurrent workloads with minimal overhead. He leads teams in designing clean API contracts, data streaming patterns, and deployment architectures that keep both sides of the stack running at scale. A performance-focused Fullstack Tech Lead profile combining React product engineering with Go backend systems, built for senior roles where throughput, latency, and reliability are primary concerns.

Core Competencies

UI Architecture

Designs maintainable frontend systems with reusable components, state boundaries, and scalable routing patterns.

Scalable Backend Systems

Builds modular services, background workflows, and integration layers that stay reliable as product and traffic complexity grow.

System Design & Architecture

Translates product and platform goals into service boundaries, deployment patterns, and maintainable technical direction.

API Design & Integrations

Defines clean contracts for frontend, backend, and third-party integrations with an emphasis on consistency and operational clarity.

Cloud & DevOps Delivery

Improves release reliability through containerized delivery, deployment automation, and production-ready cloud operating patterns.

Performance & Event Processing

Uses caching and asynchronous messaging to improve throughput, reduce latency, and isolate failures in production workflows.

Technology Stack

Frontend

React, Next.js, TypeScript, Redux Toolkit, Zustand, React Query

Backend

Go, Golang, WebSockets

Architecture

Microservices, Event-Driven Architecture

APIs

REST APIs, WebSockets, Kafka, Redis, gRPC, NATS

DevOps

AWS, Docker, Kubernetes, CI/CD, GitHub Actions, Prometheus

AI / Automation

Not a primary emphasis for this profile

Selected Highlights