Ritik Ojha

Software Engineer

New Delhi, Delhi, India5 yrs experience

AI EnabledHighly Stable

Key Highlights

Expert in building high-performance, SEO-first web applications.
Led automation initiatives achieving 85% regression coverage.
Passionate about AI-driven developer tools and automation systems.

Stackforce AI infers this person is a Fullstack Software Engineer specializing in SaaS and MarTech solutions.

Contact

Skills

Core Skills

TypescriptReact.jsGenerative AiTest Automation

Other Skills

FastAPINode.jsREST APIsSEOPerformance OptimizationAutomationCI/CDSSRSSGData PipelinesPrompt EngineeringPlaywrightJavaScriptHTMLEngineering

About

Hi, Ritik here!! A Software Engineer focused on building scalable, production-grade web platforms and developer tooling. I enjoy working across the stack and taking ownership of systems end-to-end, from architecture and frontend experience to backend services, automation, and delivery pipelines. My core strength lies in building high-performance, SEO-first web applications using Next.js, React, and TypeScript, with a strong emphasis on clean architecture, scalability, and long-term maintainability. I’ve worked extensively on CMS-driven platforms and SSR/SSG systems where performance and Core Web Vitals directly impact business outcomes. On the backend side, I design and build API services and automation workflows using FastAPI, Node.js, REST APIs, and SQL, often supporting internal tools and data-driven systems. I also place a strong focus on engineering quality and delivery reliability. I’ve led automation initiatives using Playwright integrated with CI/CD pipelines, building systems that automate test execution, reporting, and Zephyr integrations helping teams achieve high regression coverage while significantly reducing manual QA overhead. Beyond traditional web platforms, I enjoy experimenting with AI-driven developer tools and automation systems, including building collaborative coding platforms and AI-assisted workflows. I’m particularly interested in product engineering and platform roles where I can own systems, solve meaningful problems, and build software that delivers measurable impact whether through performance improvements, intelligent tooling, or scalable architecture. If you're working on full-stack product systems, developer platforms, or AI-enabled tools, I’d love to connect.

Experience

5 yrs

Total Experience

2 yrs 5 mos

Average Tenure

1 mo

Current Experience

Delta exchange

Software Engineer

Apr 2026 – Present · 1 mo · India · Remote

Quaprix technologies

Software Engineer

Jun 2024 – Mar 2026 · 1 yr 9 mos · Delhi, India · Remote

At Quaprix, I lead end-to-end full-stack product development, owning everything from system architecture and implementation to performance optimization, automation, and delivery. My work combines a strong frontend foundation (Next.js, React, TypeScript) with backend service development using FastAPI, Node.js, and REST APIs, enabling scalable product systems and internal tooling.
One of my key initiatives was leading the development of a CMS-first property platform powered by Prismic, where I designed type-safe content models and a slice-driven UI architecture that maps CMS components directly to reusable React modules. This architecture allows the platform to scale cleanly across multiple page templates while maintaining SEO-first rendering through SSR/SSG strategies.
I also drove measurable performance improvements across revenue-critical pages by introducing dynamic imports, optimized data-fetching strategies, and client-side API optimizations. These changes significantly improved Core Web Vitals, reducing LCP/CLS from ~5.2s to ~2.7s across key user flow.
Beyond core product work, I designed and shipped an AI-powered social media content intelligence platform that leverages Apify-based data pipelines and a multi-LLM “council” reasoning workflow to generate structured, repeatable content blueprints for creators. I also optimized inference efficiency through prompt engineering strategies such as context minimization, strict output schemas, token budgeting, and constrained responses, reducing token usage by ~30% without sacrificing output quality.
On the engineering quality, I architected a CI/CD-native automation orchestration layer that consumes Playwright test outputs and integrates with Zephyr REST APIs to automatically generate TC, manage execution reporting, and orchestrate test cycles. This system enabled ~85% regression coverage, significantly reducing manual QA overhead while improving release confidence through stable, high-signal validation pipelines.

TypeScriptReact.jsFastAPINode.jsREST APIsSEO+3