15+ years of combined experience across AI development, backend, frontend, mobile, QA and business analysis — with no layers between you and the people writing the code.
No sales layer, no bait-and-switch staffing. The people on the first call are the people on the last commit.
Rakesh leads delivery across mobile, web and backend. He started in Flutter and Angular, moved deep into Node.js and NestJS architecture, and now owns our AI practice — designing agent workflows, RAG pipelines, tool calling and MCP servers that connect models to real business systems.
Typically owns: solution architecture, AI agent design, backend APIs, Flutter apps, Angular/Next.js front ends, code review and deployment.
Rohit sits between the client and the code. He runs discovery workshops, turns vague requirements into testable user stories, then makes sure what ships matches what was agreed — through structured manual cycles and automated regression suites.
Typically owns: requirement gathering, BRD/FRD, user stories, test strategy, manual + automated QA, UAT coordination and release sign-off.
For larger builds we scale with vetted specialists we've worked with before — DevOps, data engineering, UI/UX and application security. Same standards, same review process, same accountability.
Brought in for: cloud infrastructure, data pipelines, design systems and security reviews.
We started by solving our own problem: every project began with the same weeks of setup — auth, security headers, roles, logging, Docker. So we packaged it into production-ready boilerplates and published them free on StackNova Studio.
Then clients started asking a different question: not "can you build this app?" but "can you make this process run without people?" That pushed us into AI — agents, RAG, WhatsApp automation, CRM workflows and MCP integrations — on top of the engineering discipline we already had.
Today we do three things: build AI automation, engineer the web and mobile products around it, and train teams to maintain what we deliver. The boilerplates are still free.
To make practical AI accessible to ordinary businesses — not just well-funded tech companies — by delivering automation that pays for itself, backed by engineering that holds up under real load.
To be the partner companies call when AI has to actually work: integrated with their systems, tested, auditable, and maintainable by their own team after we hand it over.
JSEval Software and Services was established as a remote-first consulting studio focused on backend engineering and developer training.
Launched cookbook-style programs for Node.js, Angular, MongoDB, React, Next.js and NestJS, and expanded delivery into Flutter mobile apps and dedicated QA engagements.
Added an AI division: WhatsApp AI agents, CRM automation, RAG assistants and custom MCP servers — alongside five free production boilerplates published on StackNova Studio.
Packaged AI solutions for healthcare, recruitment and field-service businesses — faster to deploy, priced for mid-market teams.
We don't just use these — we build client systems with them and teach them in our training batches.
Agent orchestration, RAG, vector search, tool calling, MCP servers, evaluation and prompt versioning.
WhatsApp Business API, templates, webhooks, multi-channel routing and human handover.
High-performance APIs, microservices, queues and real-time systems in TypeScript.
Standalone components, signals, RxJS and NgRx for data-heavy enterprise dashboards.
App Router, server components, streaming and SEO-first full-stack applications.
Android and iOS from one codebase — offline-first, push, payments and store releases.
Schema design, aggregation pipelines, migrations, indexing and query tuning.
Playwright, Cypress, Selenium, Appium, Postman, JMeter and AI-assisted test generation.
Containerised deployments, CI/CD pipelines, AWS/Azure infrastructure and observability.
AI automation, a new product, a rescue project, a QA engagement or training for your team — start with a free 30-minute call.