Full Stack Engineer · Bangalore, India
I'm a Full Stack Engineer building production web applications end-to-end — React and Next.js on the frontend, FastAPI, Go, and Node on the backend, deployed on AWS with Docker. I work across AI-integrated platforms, large-scale web crawling infrastructure, legal technology, design systems, and developer tooling.
Currently working at Perssonify and Virallens (sister companies) as a Full Stack Engineer. I came into web development from a Mechatronics Engineering background during COVID, and I care about the polish — fast builds, clean architecture, and interfaces that feel right.
A heads up if you're here to evaluate my work: what you see publicly is a small fraction of what I've built. I have 200+ private repositories that aren't visible on this profile.
The reason is simple — I've been burned before. People clone the code, strip the credits, and pass the work off as their own. Some have even used it in their own interviews. So most of my real work, especially client projects and original product code, stays private.
If you're seriously considering me for a role, I'm happy to walk you through any of it on a call — share my screen, explain architecture decisions, show commits, talk through trade-offs. Reach out via LinkedIn or email through my portfolio, and I'll set time aside.
A growing chunk of what I do involves integrating LLMs into real products, not just prototypes:
- Gemma running in production — self-hosted inference for cost-efficient classification and extraction at scale.
- Claude API integrations for production legal-tech and content workflows — case analysis, document review, structured extraction.
- OpenAI API for content generation, summarization, and classification pipelines.
- Federal court AI monitoring — automated extraction and classification across 180+ government domains.
- Real-time AI signal detection — context-aware ticker analysis across 20k+ entities in the Chrome Extension.
- Tech news aggregation — automated pipelines for crawling, deduplicating, and summarizing.
- n8n workflow automation for orchestrating multi-step AI agents.
- Local LLM experimentation — agent setups integrating with Microsoft Teams and scheduling assistants.
I think a lot about prompt design, structured outputs, evaluation, and the boring-but-important parts of making AI features actually reliable in production.
Frontend — React, Next.js, TypeScript, JavaScript, Tailwind CSS, Framer Motion, GSAP, D3, shadcn/ui, Radix UI, Material UI, Zustand, Redux, Vue, Vite
Backend — Go, FastAPI, Python, Node.js, Express, NestJS, tRPC, GraphQL, REST APIs
Databases — PostgreSQL, MongoDB, MongoDB Atlas, Redis, Supabase, Prisma ORM, Firebase
Infra & DevOps — AWS (EC2, S3, ECR), Docker, Docker Compose, BuildKit, GitHub Actions, Nginx, Temporal, Celery, Vercel
AI Stack — Gemma (self-hosted), Claude API (Anthropic), OpenAI API, n8n, prompt engineering, structured outputs, agent workflows
Auth — JWT, OAuth, Clerk, Kinde, Auth0, Firebase Auth
Languages — Go, TypeScript, JavaScript, Python, C++, C#
Tooling — Git, Figma, Jira, Postman, Webpack, Vite, Chrome DevTools
Open to conversations about full-stack roles, AI-integrated products, and developer tooling work.
- Portfolio: syedmoinuddin.com
- LinkedIn: syed-moinuddin106
- GitHub: @SyedMoin-Lab