Deekshith Goud Voruganti

Deekshith Goud Voruganti

Building things that work, breaking things that don't, and automating what shouldn't exist manually.

Hyderabad, Telangana, India

deekshithgoud7101@gmail.com


About

I'm all about turning complex ideas into working software, spanning AI-driven systems, computer vision, and privacy-focused developer tools. I build across the stack, experiment beyond the documentation, and care about the engineering behind the interface. Open-source contributor, perpetual debugger, and firm believer that good engineering is about solving the right problem—not adding more code. Always building, always debugging, occasionally wondering why it worked before I touched it.

Skills
Google Cloud
Node.js
TypeScript
Python
Next.js
Java
AI / LLM Integration
CMS
Model Routing
Experience

Open Source Contributor

Elite Coders Summer of Code (ECSoC)

Jul 2026 to Sept 2026
  • Contributed to open-source repositories by implementing features, resolving bugs, and improving existing codebases.
  • Collaborated with developers using Git/GitHub workflows, pull requests, code reviews, and issue tracking.
  • Improved code quality and maintainability through code optimization, technical documentation, and collaborative development practices.
Projects

Local Browse Insights — Privacy-First Web Analytics Extension

Privacy-first browser productivity analytics for Chrome and Safari, featuring active-tab tracking, session monitoring, domain classification (Productive, Distracting, Neutral), and interactive analytics dashboards. Implements a local-first architecture with IndexedDB-based persistence, zero telemetry, no external data transmission, and user-controlled data deletion.

Plasmo
Dexie.js
IndexedDB
Tailwind CSS
TypeScript
React
Chrome & Safari Web Extensions (Manifest V3)

IntuiGaze

Experimental eye-tracking system for hands-free mouse control, mapping real-time gaze and head-pose data to screen coordinates using computer vision and polynomial regression. Features personalized 9-point calibration, blink and dwell-based click recognition, and safety filters with confidence thresholds and lag compensation for controlled cursor movement.

Python
OpenCV
MediaPipe
NumPy
Scikit-learn
PyAutoGUI
Pytest
Ruff
Education

Computer Science

Vignan University Hyderabad · 8.74

Aug 2024 to Jul 2028