5+ years building scalable web platforms with React, Next.js, Node.js, and AWS — with a focus on performance, system architecture, and leading engineering teams.
5+
Years building products
100K+
Users supported
12
Developers led
Currently at
Terralogic Software Solutions
Since June 2022
About
I'm Jitendra Suthar (goes by Jeet), a results-driven Full Stack Developer with 5+ years of experience designing and building scalable web applications. My expertise spans frontend architecture, backend systems, cloud infrastructure, and DevOps automation. I focus on writing maintainable code, optimizing performance, and building systems that scale reliably in production.
Architected and deployed containerized applications on AWS ECS with Fargate
Built Next.js platform serving 100K+ monthly users
Designed microservices architectures for scalable applications
Led and mentored a team of 12 developers
Optimized CI/CD pipelines reducing deployment time by 40%
Selected Projects
Each case study covers the delivery context behind the interface: architecture decisions, system flow, tradeoffs, and the problems the implementation had to solve.
Interactive language learning platform for Chinese learners with dynamic lesson modules.
System flow
Offender tracking and monitoring platform with real-time dashboards.
System flow
Real estate web platform for property listing and management.
System flow
More work
Educational platform for online learning and certifications.
Education portal with student and admin dashboards.
Marketing rewards application with user activity tracking.
Medicine distributor management platform with logistics dashboards.
How I Build
My workflow blends strong engineering fundamentals with AI-first execution. I use AI to accelerate exploration, drafting, and debugging, but I keep architecture, review quality, and production reliability grounded in deliberate engineering decisions.
Before shipping UI, I define boundaries, state flow, and failure modes so the product can scale without being rewritten every sprint.
I use AI for faster ideation, code scaffolding, debugging support, and documentation, while keeping human judgment on architecture and final quality.
I care about the last 20% of work: observability, performance, deployability, and making sure the product survives real user traffic.
01
Clarify user goals, system boundaries, and the minimum reliable architecture.
02
Use AI to accelerate drafts, compare implementation options, and expose blind spots early.
03
Ship the happy path with maintainable components, data flow, and operational hooks.
04
Review edge cases, performance, deployment readiness, and handoff quality.
Career
Terralogic Software Solutions
Codehive IT Solutions
Writing
Learning in public — architecture, AI-assisted workflows, and the last 20% that makes software production-ready.
AI is fast, but it is not flawless. I let an AI agent write a critical feature for my app, and this is the story of the hidden bugs, connection leaks, and useless tests I had to fix before production.
Anyone can make code work on localhost. Here is a practical walkthrough of the observability, security, CI/CD, rollbacks, and resilience needed to take software to production.
System design isn't just theory. Walk through a real-world case study as we architect a contractor management app from raw requirements to data models and scaling limits.
Contact
I enjoy working on systems that scale, products that matter, and problems that are slightly uncomfortable to solve. If you’re building something ambitious, I’d love to hear about it.
Live telemetry
measuring…
