About
I'm a systems-minded ML builder who enjoys working where things are still unclear. I like taking ideas that exist only on paper and turning them into measurable, scalable systems — from model training to post-training behavior in the real world.
I care deeply about rigor, performance, and understanding why something works, not just that it does.
Core Principle
"A model isn't finished when it converges. It's finished when its behavior is understood, testable, and reliable under real constraints."
What Drives Me
End-to-end ownership · Post-training & inference behavior · Reinforcement learning · Scalable ML systems · Careful experimentation · Signal over hype
Projects
Geomagnetic Storm Forecasting — Surya Foundation Model
Can we predict space weather 72 hours out? I fine-tuned a 366M-param Vision Transformer (pretrained on NASA solar imagery) using LoRA to forecast geomagnetic storm indicators — hitting 96.5% accuracy while cutting training compute by 3.5x.
View on GitHubFlight Data Analytics at Scale — Hadoop on AWS
What happens when you throw 118.9 million flight records at a 6-node cluster? Built a distributed analytics pipeline on AWS EC2 with Hadoop MapReduce — achieved 100% data-local execution and a 2.73x speedup over baseline.
Personal Portfolio — vineetvora.dev
Designed and built a distinctive dark-themed portfolio from scratch — featuring canvas particle networks, kinetic typography, magnetic hover effects, and a custom cursor. Pure HTML/CSS/JS, no frameworks.
View on GitHubFace-Based Attendance System — YOLO + FaceNet
Replaced manual roll calls with real-time face detection and recognition. YOLO spots faces, FaceNet matches identities, and the system auto-generates attendance sheets — zero human intervention.
View on GitHubCore Competencies
Publications
Preventing Wildfires in Energy Transmission by Automatic Power Line Defects Detection Using Machine Learning and AI
Presented at IEEE Conference, NJIT — December 10, 2025
Developed a deep learning framework using Mask R-CNN and DeepLabV3+ to detect power line defects and vegetation encroachment from UAV imagery in real-time — enabling utilities to shift from reactive repairs to proactive wildfire prevention.
Experience
2023
Software Programmer · Xena Technologies
- Shipped production features in Java/Python, owning code from design through deployment
- Wrote unit tests that caught critical regressions, reducing QA bounce-backs
- Refactored legacy modules with senior engineers — improved maintainability and reduced technical debt
Education
New Jersey Institute of Technology
Master of Science in Artificial Intelligence · GPA 3.83
Advanced NLP, Computer Vision, Information Retrieval, ML for Data Science, Big Data
VIT — AP University
Bachelor of Technology in Computer Science
Certifications
Contact
Let's Build
Something Great
Building something interesting? I'd love to hear about it.