Headline

Full Stack Engineer | Next.js, Node.js, TypeScript, Python, Java | Distributed Systems, SaaS, AI Applications | AWS & GCP | 3+ Years Experience

About

Software Engineer | Full-Stack Developer | AI Systems Engineer | Scalable SaaS Builder | Senior Full Stack Engineer | Full Stack Engineer (Tech Lead) | Software Engineer II (SDE-2) I’m a Full-Stack Software Engineer with 3+ years of experience building scalable, production-grade SaaS applications, high-performance web platforms, and AI-powered systems using modern technologies like Next.js, React, Node.js, TypeScript, PostgreSQL, MongoDB, and cloud platforms. Currently working as a Full Stack Engineer at ISIR AI, where I lead end-to-end development for multi-tenant SaaS products, owning everything from architecture and system design to deployment, performance optimization, security, and production reliability. 💡 What I Bring: • End-to-end product engineering experience • Strong backend and scalable system design expertise • AI/LLM integrations using GPT-4, RAG pipelines, LangChain, embeddings, and AI agents • High-performance React/Next.js frontend architecture • Production-grade authentication, RBAC, CI/CD, observability, and cloud deployments • Deep understanding of databases, query optimization, caching, and API performance 🔹 Key Highlights: • Built and launched production SaaS platforms from scratch • Developed secure multi-tenant systems with JWT/RBAC architecture • Improved release velocity by 20% using CI/CD and Dockerized workflows • Reduced downtime by 15% through performance tuning and debugging • Solved 800+ DSA problems across LeetCode, HackerRank, and CodeChef • Global Rank 81 in CodeChef Challenge • Mentored 1500+ developers in DSA, Full Stack Development, and System Design 🛠 Core Tech Stack: Next.js, React.js, Node.js, TypeScript, JavaScript, PostgreSQL, MongoDB, Prisma, Express.js, Tailwind CSS, Redux, GraphQL, Firebase, REST APIs, Docker, AWS, Azure, GCP, Git, Linux, LangChain, OpenAI, GPT-4, AI Agents 📌 Areas of work: • Full-Stack Engineering • Backend & Distributed Systems • AI-Integrated Applications • System Design & Performance Engineering I enjoy solving complex engineering problems, optimizing systems at scale, and building products that create measurable business impact. 📬 Open to Software Engineer / SDE-2 / Senior Full Stack / Tech Lead opportunities at product-based companies, startups, AI companies, SaaS platforms, and high-growth engineering teams. 📧 Email: kamalsingh23056@gmail.com 🔗 Portfolio, GitHub, Resume & Projects available in Featured section.

Location

India

Work experience

Full Stack Engineer at ISIR AI, Aug 2025 - Present · 1 yr, Noida, Uttar Pradesh, India, • Owned end-to-end delivery for multi-tenant SaaS platforms, leading product discovery, architecture, implementation, and release while ensuring SLA-grade reliability, security across high-traffic, revenue-critical user journeys, admin workflows, and core integrations. • Designed and implemented scalable front-end + back-end systems, improving page load by 40% and API efficiency by 35% via better rendering, caching, and query tuning, lifting user satisfaction by 10% with lower bounce, higher engagement, stronger Core Web Vitals. • Built production platforms on Next.js/TypeScript/Node/PostgreSQL (Prisma) with secure RBAC/JWT, Prisma migrations, indexed queries, and modular architecture, adding caching, audit logs, and basic observability (metrics/tracing) to improve latency and stability. • Accelerated releases by 20% through CI/CD + Docker (build caching, automated tests, versioned images) and strict env separation (dev/stage/prod), enabling blue-green deploys, safer rollbacks, reproducible builds, faster go-to-market with fewer production regressions. • Improved reliability by reducing downtime 15% and recurring issues 30% through performance tuning, observability-driven debugging (logs, metrics, tracing), bottleneck removal across APIs, database queries, and background jobs, with tighter alerts and safer deployments.

Software Engineer at FleetStack, Apr 2023 - Aug 2025 · 2 yrs 5 mos, Remote, • Designed and implemented scalable front-end and back-end solutions, improving page load times by 40% and API response efficiency by 35%, which resulted in a 10% increase in overall user satisfaction, lower bounce rates, and higher engagement in critical user flows. • Architected and deployed production-grade integrations of Large Language Models (LLMs), including OpenAI GPT-4, into customer facing and internal systems to automate code synthesis, query resolution, resulting in a 30% uplift in engineering, operational efficiency. • Engineered end-to-end Retrieval-Augmented Generation (RAG) pipelines for domain-specific models, Python-based embedding workflows, LLM-driven chat interfaces, and dynamic content tagging, significantly improving contextual accuracy and user engagement. • Identified and resolved high-impact bugs and system bottlenecks, cutting support tickets by 25%, which directly resulted in increased application uptime, reduced costs, enhanced developer efficiency, and better coordination between engineering and the support teams. • Mentored junior developers, conducted code reviews, enforced best coding practices, increasing team productivity by 15% while ensuring maintainability, scalability, strict adherence to industry standards for long-term code sustainability and performance optimization. • Led collaboration between engineering, design, and product teams, ensuring alignment with business goals and strategic objectives, driving a 30% improvement in feature adoption, product market fit, and customer feedback implementation in iterative agile sprints.

Education

Bachelor of Technology - BTech, Computer Science and Engineering (CSE), FEROZE GANDHI INSTITUTE OF ENGG AND TECHNOLOGY , RAEBARELI

Senior Secondary, Mathematics & Computer Science, Colonel's Brightland Public School