
ZYNTRA AI
AI-powered enterprise solution advisor that generates evidence-grounded technology recommendations from business requirements.
नमस्ते ・ こんにちは ・ Hola ・ Hallo ・ 你好
I'm a developer who enjoys turning ideas into practical products. My work spans full-stack development, backend systems, Generative AI, and computer vision, with a focus on building useful applications rather than just experiments.
I like working across the product, from understanding the problem and designing workflows, integrating AI features, and deploying the final application. Most of my learning comes through real projects, hackathons, and constantly experimenting with new tools and approaches.
Selected work across AI, computer vision, and full-stack engineering.

AI-powered enterprise solution advisor that generates evidence-grounded technology recommendations from business requirements.

Retail loan underwriting platform combining OCR extraction, deterministic risk engines, cross-document discrepancy detection, and policy RAG.

Project delivery workspace that converts unstructured updates into human-approved state changes with deterministic health scoring.
Aerial traffic intelligence pipeline using YOLOv8, ByteTrack, and drone telemetry to project vehicle detections onto the road plane for real-world metric speeds.
Real-time computer vision system combining MediaPipe neural person segmentation with hand-gesture recognition to create an interactive invisibility effect via webcam.
Sports festival management platform serving 1,500+ participants with Google OAuth, QR payment verification, and automated registration workflows.
Collaborative academic platform for managing structured tasks, resources, and student workflows through a Node.js web application.
A look at my public GitHub activity.
566
contributions
29
public repos
12
stars earned
Technical notes on RAG systems, LLMs, and practical AI implementations.
A comprehensive architectural breakdown of how LLMs, RAG pipelines, foundation models, embeddings, and autonomous agent systems fit into a unified production ecosystem.
Books that have influenced how I think, design, and learn.
Films, shows, and stories I enjoy outside of engineering.
Ideas, principles, and mental models I keep coming back to.
"We used to look up at the sky and wonder at our place in the stars. Now we just look down and worry about our place in the dirt."