Manish Kumar Sharma
Applied AI, backend systems, and the web apps around them.
I'm an applied AI engineer at InvestConclave and a final-year computer science student at the National Forensic Sciences University, specialising in cyber security.
I like systems that have to work under load: a video pipeline that turns a ten-minute job into ninety seconds, a retrieval system over forty thousand court judgments, a deployment platform with sandboxed build workers. Lately most of that energy goes into AI agents and the plumbing that keeps them honest.
Since 2024 I've also shipped a dozen client sites as a freelancer, from booking platforms to e-commerce, and kept them running at 99.9% uptime.
What I do
- AI agents
- Agents and LLM features that do real work inside products: retrieval, tool use, evaluation, and the guardrails that make them safe to ship.
- Backend systems
- Go, Node.js and Python services. Queues, caching, and processing pipelines for video and documents, built to be measured and scaled.
- Full stack web apps
- React and Next.js on top of PostgreSQL and Prisma. Dashboards, auth, payments, scheduling, and the deploys that keep them up.
- System design
- Thinking through failure modes, idempotency and data flow before they turn into incidents.
Experience
- 2026 – Present
Applied AI Engineer, InvestConclave
- Building applied AI features and agent workflows for the platform.
- Dec 2025 – Jan 2026
Engineering Intern, Nowlez (internship)
- Designed the backend architecture and document ingestion pipelines for legal AI analysis, including OCR for uploaded documents.
- Built secure API endpoints with data protection practices aligned to legal-tech compliance, and shipped two web apps in the process.
- Aug 2025 – Jan 2026
Full-Stack Developer, Scalez Media (contract)
- Led backend architecture at an early-stage startup, building the production system from the ground up.
- Built a high-throughput video processing microservice in Python and FFmpeg that cut turnaround per video from 10 minutes to 90 seconds.
- Built React dashboards for monitoring jobs and scheduled publishing, and owned deployment and scaling on DigitalOcean.
- Jan 2024 – Present
Freelance Developer, Self-employed
- Delivered 12 end-to-end client projects, from booking platforms to e-commerce, with React frontends and Node.js backends.
- Designed relational schemas and API layers, integrated payments and notifications, and kept production apps at 99.9% uptime.
Projects
The Cyber Bird
My own business. Web development, SEO and applied AI for small companies.
Legal RAG for Indian judgments
Retrieval system over 40,000+ Indian court judgments for accurate legal citation. Python ingestion, chunking and embeddings; Go services with Kafka for distributed ingestion and Redis for hot retrieval paths; a React dashboard for citation search and result inspection.
Vercel-style deployment platform
An automated CI/CD platform with S3 artifact storage, Redis-backed job queues and sandboxed parallel build workers. Node.js on AWS.
Client work
Twelve client sites since 2024, from law chambers to ticket booking, with SEO handled end to end.
- Chambers of Uttam Singh
Website for a law chamber.
- Advantage Services
Business services website.
- Nyaya Setu
Quiz-based learning website.
- Theythaka
Ticket booking with QR scanning at the gate.
- Veloura Dental
Website for a dental clinic.
- NICM Hostel
Hostel website.
Education
B.Tech + M.Tech in Computer Science, specialization in Cyber Security
National Forensic Sciences University. Integrated dual degree, expected 2027.
Writing
- What 40,000 court judgments taught me about distributed systems
Kafka partitions, idempotent consumers and backpressure, learned the hard way while building an ingestion pipeline for a legal retrieval system.
- Orchestrating AI agents without losing the plot
Planner and worker agents, explicit state, tool contracts and the unglamorous checks that make multi-agent systems dependable in production.
- Finding the right citation, not just a similar one
Why vector search alone fails lawyers, and the hybrid retrieval and verification pipeline that gets citations right for Indian judgments.
- Putting agents into manual workflows: email, bookings, support
Where AI agents actually pay off in everyday operations, how to introduce them without breaking trust, and the mistakes I keep seeing.
Skills
- Languages
- Go, TypeScript, JavaScript, Python, C++, SQL
- Backend
- Node.js, Hono, Express, REST APIs, Microservices, Kafka, FFmpeg
- Frontend
- React, Next.js, Tailwind CSS
- Databases
- PostgreSQL, MySQL, MongoDB, Redis, Prisma
- Infrastructure
- Docker, AWS (EC2, S3, IAM, Auto Scaling), DigitalOcean, CI/CD
- Focus areas
- System design, API design, Auth (JWT, OAuth), Performance, Applied AI