I am Kunal Keshari Pattanaik, an AI-focused full-stack developer building practical products across web apps, intelligent workflows, dashboards, APIs, automation systems, and open-source engineering.
My work sits at the intersection of product quality, engineering discipline, and applied AI. I care about software that looks premium, loads fast, handles edge cases, and remains easy to maintain after the first release.
- Build AI-enabled products with clean user flows, reliable APIs, and production-minded architecture.
- Work across frontend polish, backend logic, data modeling, automation, deployment, and developer tooling.
- Contribute to open source with readable code, issue-focused changes, and maintainer-friendly pull requests.
- Focus on performance, accessibility, security, documentation, and practical user value.
Frontend Engineering React, Next.js, Tailwind, animation, responsive systems, accessibility, and polished UI. |
Backend Engineering REST APIs, auth, validation, service logic, background jobs, and secure workflows. |
AI and Automation LLM workflows, ML systems, document tools, recommendation logic, and intelligent assistants. |
Cloud Delivery Docker, CI/CD, cloud hosting, observability, deployment pipelines, and release hygiene. |
|
AI-powered crop analysis system Deep learning and computer vision workflow for cotton crop growth analysis, crop health detection, smart recommendations, Flask web interface, and REST API delivery.
|
Clinical decision support product Full-stack system that surfaces early diabetes risk signals with an interpretable ML model and a modern React experience for clinicians and patients.
|
|
AI-powered document creation platform Open-source platform for generating polished resumes, CVs, presentations, and professional documents from natural-language briefs.
|
Collaborative developer sandbox Real-time CRDT synchronization and secure remote code execution for human-AI pair programming and collaborative engineering workflows.
|
|
AI productivity extension for Google Meet Chrome extension for real-time transcription, meeting summaries, participant intelligence, and meeting productivity workflows.
|
Terminal UI framework TypeScript/JavaScript framework for building terminal apps with flexbox layout, JSX, hooks, state, theming, animations, routing, and hot reload.
|
| Principle | How I Apply It |
|---|---|
| Product clarity | Start from the user journey, then shape the interface, data flow, and system behavior around it. |
| Engineering depth | Prefer readable architecture, clear boundaries, meaningful validation, and reliable error handling. |
| AI pragmatism | Use AI where it improves workflow quality, decision support, automation, or user productivity. |
| Open-source discipline | Keep changes scoped, documented, reviewable, and aligned with maintainer expectations. |
| Delivery mindset | Think through deployment, performance, security, observability, and long-term maintainability. |
Build products that feel polished.
Design APIs that remain predictable.
Use AI to remove real workflow friction.
Write code that reviewers can trust.
Ship with clarity, performance, and maintainability.
