// portfolio

Neel M Naik

I build

// about

About Me

I am a software engineering student specializing in artificial intelligence, 3D point-cloud processing, and algorithmic optimization. Passionate about building high-performance models and interactive systems that scale.

neel@workstation:~

$ focus: ["3D Vision", "Deep Learning", "Discrete Optimization"]

$ core_stack: ["Python", "PyTorch", "C#", "SQL"]

$ status: Open to Opportunities

// stack

Technical Skills

// selected work

Featured Projects

Satellite Identification via 3D Point Clouds

Engineered an end-to-end ML pipeline utilizing PointNet autoencoders for 3D point-cloud registration. Implemented PCA and Iterative Closest Point (ICP) algorithms to classify and reconstruct satellite models from spatial LiDAR datasets.

Python PointNet Deep Learning

Interactive 3D Virtual Environment

Constructed an interactive 3D virtual environment in Unity. Implemented custom player kinematics, environmental physics, and spatial layouts to provide real-time interactive rendering.

Unity C# 3D Spatial

Placement Week Scheduler & Replanning Engine

Designed a low-churn discrete-event heuristic engine resolving high-contention scheduling over 35 companies, 800 candidates, and 20 rooms. Features real-time disruption replanning with minimal entity reshuffling via Streamlit.

Python Streamlit Heuristic Optimization

// contact

Let's Talk

Open to opportunities in AI, 3D vision, and systems engineering. The fastest way to reach me:

neel.m.naik4@gmail.com