Sophomore @ NC State
Mechanical engineer building AI systems that understand the physical world.
from math import hypot
wind, dt = 1.5, 1 / 60
x = y = 0.0
vx = vy = 20.0
for step in range(360):
ux = vx - wind
speed = hypot(ux, vy)
ax = -0.012 * speed * ux
ay = -9.81 - 0.012 * speed * vy
vx += ax * dt
vy += ay * dt
x += vx * dt
y += vy * dt
if y < 0:
breakEquivalent Python · Euler integration
100+ PACE users
1st place FEDD
Digital OperationsFounding father · Triangle Fraternity at NC State
I study Mechanical Engineering at NC State, Class of 2029. As a Benjamin Franklin Scholar, I am also majoring in Science, Technology & Society with an AI Ethics concentration. I build AI systems with an understanding of the physical world and the people they affect.
As a Baseball Data Analyst for NC State’s Division I program, I clean and analyze TrackMan performance data, including batting areas and pitch locations, to support coaching decisions. I also co-founded PACE with Maxwell Titley and designed the AutoCAD model for imPACKted, our first-year engineering design project.
A summary of my academic achievements, engineering projects, and technical skills.
Systems built at the intersection of software, AI, and engineering.
Physics lab kit for rural NC schools
1st place · FEDDA 3D-printed physics lab kit for rural North Carolina schools, created for our first-year engineering design project. Won 1st place at NC State First-Year Engineering Design Day (FEDD). I designed the kit’s 3D model in AutoCAD and helped manage the team.
AI academic planning app for students
Live, 100+ usersAI-powered academic planning for students. It reads syllabi and builds a structured semester plan with tasks, course intelligence, and a Focus productivity layer.
Supported by two NC State faculty advisors, one in AI/CS and one in Engineering.
AI-directed build · tools and infrastructure
macOS desktop assistant
In developmentA native macOS desktop assistant connecting frontier LLMs to system-level macOS controls, with UI overlay windows and tool/skill calling. A native Mac app version is in active development; I direct AI coding agents to build it.
Personal project; not affiliated with Disney or Marvel.
AI-directed build · tools and infrastructure
Physics-informed machine learning
In progressI’m developing a physics-informed ML model to predict punt and field-goal outcomes. The plan combines projectile motion with drag, the Magnus effect from spin, and wind; Monte Carlo simulation will handle noisy inputs and per-stadium wind patterns. Physics will run in an explicit step-by-step integration loop, with real-time browser visualization. I plan to train locally on my M4 MacBook Pro using Apple’s MLX framework.
What I write, what I study, and what I direct.
Coursework level · used in Applied AI in Engineering (E298)
Tools: Claude Code, ChatGPT Codex, Antigravity
Relevant coursework: Applied AI in Engineering (E298) · Physics for Engineers (PY 205)
Find me across the web. Always open to discussing engineering, design, and AI.
Atharva Neelabh
Benjamin Franklin Scholar, Mechanical Engineering student, and builder of AI-adjacent systems. Let's connect professionally.
GitHub
@atharva091
Source code for side projects and experiments.
YouTube
Atharva Neelabh
College football coverage and technical demo videos. Engineering meets content creation.