Hello, I'm
Gurmeet Goria
B.Tech ECE '28 at NIT Kurukshetra. I build full-stack products end-to-end — currently shipping CampusRun and contributing to open source through GSSoC '26.

NIT Kurukshetra · ECE '28
/Experience
My Career Path.
- NITJun 2026 — Jul 2026KafkaSparkPythonIoTDelta Lake
- Co-authored and submitted a conference paper on an intelligent, adaptive data ingestion pipeline for high-velocity, real-time IoT streams.
- Designed a deviation-detection model to auto-adapt to unnotified syntax and semantic changes during ingestion.
- Improved streaming-app resilience by mitigating continuous data drift and preserving downstream analytics quality.
- GSMay 2026 — Aug 2026GitOpen SourceTypeScriptPython
- Merged 10+ pull requests across diverse open-source repositories during the Summer of Code timeline.
- Collaborated with distributed teams to debug core pipeline architecture and refactor modular components.
- FVMay 2026 — PresentReactTypeScriptNode.jsTailwind
- Shipping full-stack web builds for clients — UI, APIs, and deployment on Vercel/Render.
- SCSep 2024 — PresentLeadershipWebOps
- Lead technical and logistics coordination for the Alumni Cell (2025–present).
- Manage the Startup Cell's web presence and technical initiatives around ideation and entrepreneurship.
/Skills
The tools I reach for.
- C
- C++
- Python
- TypeScript
- JavaScript
- SQL
- Bash
- React
- Vite
- TailwindCSS
- shadcn/ui
- React Query
- Node.js
- Express
- FastAPI
- REST
- JWT
- Zod
- PostgreSQL
- Prisma
- Kafka
- Spark
- Docker
- Cloudflare
- Vercel
- Render
/Problem Solving
Data Structures & Algorithms.
/Academic Journey
My Education.
B.Tech, Electronics & Communication Engineering
CGPA 8.0792 · Coursework across digital & analog electronics, signals & systems, DSA, OOP, computer organisation.
Senior Secondary (CBSE, PCM)
Scored 86.80%.
Score: 120/360 · May 2024
Score: 99.0167 Percentile · Apr 2024
Achieved 99.01 percentile among 1M+ candidates nationwide.
Matriculation (CBSE)
Scored 91.80%.
/Research & Papers
My Publications.
Intelligent, Adaptive Data Ingestion for High-Velocity IoT Streams
A deviation-detection model that auto-adapts ingestion pipelines to unnotified syntax and semantic changes in high-velocity IoT streams — improving downstream analytics quality under continuous data drift.
/Reach Out
Let’s Connect.
Open to internships, freelance builds, research collabs, or a friendly hello. I read every message.
Download Resume