Aaditya SharmaComputer Engineer · Robotics · Machine Learning

Computer Engineer · Robotics · Machine Learning

Building systems where hardware, software, and intelligence meet.

02/About

A little context

I'm a Computer Engineering student at Virginia Tech (Honors College), concentrating in Controls, Robotics & Autonomy with a Machine Learning focus and a Computer Science minor.

I like building at the seam between hardware and software — an autonomous 3D print farm that calibrates itself with computer vision, a PCA pipeline rewritten in C to run on a microcontroller, an AI notes app whose entire job queue lives inside Postgres. Most recently I spent a summer at Micron building a change-point monitoring system that's now deployed globally across their fabs.

Along the way I've picked up a peer-reviewed publication, pitched research to Nestlé, and taught 350+ students how to code and build robots.

I'm working hard to ensure the machines rise with us, not against us.

Currently: President of VT CRO · senior year · having fun

  • Music
  • Tennis
  • Movies
  • Dinosaurs
  • Books
  • Coffee
  • Cats
  • NBA
  • Debate
  • Cooking
Portrait of Aaditya Sharma

Education

Virginia Tech

B.S. Computer Engineering

  • Controls, Robotics & Autonomy concentration · Machine Learning focus
  • Minor in Computer Science · Honors College
  • Dean's List '23, '24, '25

GPA 3.70Class of May 2027

03/Experience

Where I've worked

Micron Technology

May 2025 – Aug 2025

Manassas, VA

  • SPC & Run-to-Run Engineer (Intern)
  • Designed and built a proprietary Change Point Monitoring (CPM) system for run-to-run automation — real-time detection of unintended process shifts from live fab data, deployed globally across Micron fabs.
  • Developed ARIMA time-series models on GeRM RPA data to surface trends, shifts, and clamps early, flagging potential wafer-processing issues before they affected yield.
  • Automated Metric Data Reports with Tableau API pipelines, eliminating manual weekly report assembly for SPC engineering teams.

Virginia Tech Competitive Robotics Organization

Sep 2023 – Present

Blacksburg, VA

  • PresidentFeb 2026 – Present
  • VP of EngineeringAug 2025 – Feb 2026
  • MemberSep 2023 – Aug 2025
  • Leads 140+ engineers across 7 technical design teams and 4 operational divisions at Virginia Tech's largest robotics organization.
  • Directs organizational strategy and technical vision for multidisciplinary robotics projects spanning electrical, mechanical, and software systems.
  • ECE Lead for WorkCell, the award-winning autonomous 3D print farm.
Visit VT CRO

Virginia Tech

Aug 2024 – Present

Blacksburg, VA

  • Undergraduate Teaching Assistant
  • TA for ECE 2564 (Embedded Systems) and ECE 2514 (Computational Engineering) — foundational embedded systems, computer architecture, and C/C++.
  • Leads in-person lab sessions and mentors students in microcontroller fundamentals and hardware/software debugging.
  • Supports student development with Git, CMake, and logic-visualization techniques.

04/All projects

Everything I've built

  • WorkCell

    0.2mm

    Autonomous 3D print farm

    A fully custom, fully autonomous multi-printer 3D manufacturing workcell — dual printers, plate swapping, storage automation, and a continuous print queue.

    • Robotics
    • Embedded
  • Petal

    1536-dim

    AI-powered notes that organize themselves

    A full-stack AI notes app that auto-categorizes entries by meaning using vector embeddings, an LLM tie-breaker, and a self-improving learning loop.

    • ML
    • Web
  • BirdsEye

    100%

    Vision-based autonomous rover, sim-to-real

    An autonomous rover that navigates to a target using only an overhead camera — a Double DQN trained in simulation and transferred to physical hardware via a custom computer-vision perception pipeline.

    • Robotics
    • ML
    • Embedded
    • Research
  • PCA Framework

    4–5×

    Embedded device authentication, from-scratch numerics in C

    A C-native PCA pipeline that fingerprints devices from frequency-sweep data and runs standalone on Arduino Q — including a custom Jacobi eigensolver.

    • Embedded
    • ML
    • Research
  • MADS

    0.018%

    Milk adulteration detection under UV microscopy

    A low-cost device that quantitatively measures urea adulteration in milk — UV microscopy plus OpenCV image processing, down to a 0.018% average error rate.

    • Research
    • ML
    • Impact
  • Wireless Sensor Node

    Best

    Solar-powered fire-detection system

    A solar-powered wireless sensor node for early fire monitoring — power electronics, embedded systems, and IoT in one build. Best in Course.

    • Embedded
    • Impact
  • Medicle

    1st

    Vital health checkups for rural India

    A real-time vitals-monitoring cubicle built to bring accessible health checkups to rural India. CodeHack winner.

    • Impact
    • Embedded

05/Research

Research & publications

Peer-reviewed publication

Urea Concentration Detection in Milk Using Microscopic Image Processing Algorithm under Ultraviolet Light Approach

International Journal of Innovative Science and Research Technology (IJISRT)

Volume 9, Issue 8 · Published September 13, 2024 · IJISRT24AUG1182

A novel UV-microscopic-imaging method for quantitative detection of urea adulteration in milk — the research behind MADS.

Industry collaboration

Nestlé — Moga factory pitch & commendation

Moga, India · January 6, 2023

Pitched the urea-detection system with a live demonstration to Nestlé QA leadership, including the South Asia Region-Head of Quality Assurance. Nestlé cited its cost-effectiveness, quantitative detection, and sustainability, issued a commendation letter from Corporate Affairs, and requested follow-on research on classifying and counting sugar crystals in condensed milk.

Independent research

PCA Framework — embedded device authentication

From-scratch PCA in C · custom Jacobi eigensolver · Arduino Q

A C-native principal-component-analysis pipeline that fingerprints devices from frequency-sweep data and runs standalone on embedded hardware — no tethered PC, and 4–5× faster than the original Python flow.

06/Leadership

Initiatives & leadership

Virginia Tech Competitive Robotics Organization

PresidentFeb 2026 – Present

140+engineers · 7 teams · 4 divisions

Leads Virginia Tech's largest robotics organization — directing strategy and technical vision across electrical, mechanical, and software systems, after progressing from Member to VP of Engineering to President.

Visit VT CRO

Courses By You

Founder & Teacher

350+students taught across 10+ courses

Designed and taught certified workshops on coding, robotics, and debate, with partnerships including FuturoKnowledge and the Ratna Nidhi Charitable Trust — all money raised donated to give underprivileged students access to technology.

coursesbyyou.com

Plasmassist

Founder

15lives saved via plasma aid

Built a plasma-donation platform during COVID-19 — a live database of 175+ recipients and 25+ donors, run with a team of 14 volunteers.

Covassist

Founder

1,500+users reached

A COVID-19 resource platform with an interactive resource-finder map and live database, run with a team of 11 volunteers.

Terra House

House Captain (2021 & 2022)

9-yeardrought ended

Led 120 students to win the Annual House Cup — ending a 9-year drought.

07/Recognition

Numbers & honors

0.0mm

WorkCell gantry accuracy

0+

engineers led at VT CRO

0+

students taught

0

lives saved via Plasmassist

  • Gold Award — National Robotics Challenge 2025

    Workcell category · WorkCell

  • Honda Innovation Award in Manufacturing

    National Robotics Challenge 2025 · WorkCell

  • Selected to exhibit at OpenSauce 2026

    WorkCell

  • Winner ($1,500) — NFTE World Series of Innovation

    1st place, MetLife Foundation Good Health & Wellbeing Challenge, 2022–23 · MADS

  • Peer-reviewed publication — IJISRT

    September 2024 · IJISRT24AUG1182

  • Best in Course — Integrated Design Project (ECE 2804)

    Virginia Tech, Spring 2025 · Wireless Sensor Node

  • Advanced Embedded Systems pilot cohort

    Selected for the pilot offering of ECE 4534, Virginia Tech

  • Speaker — NFTE UN Global Goals Conversation 2023

  • Commendation letter — Nestlé Corporate Affairs

    MADS pitch at the Moga factory

  • Dean's List '23, '24, '25 · Honors College

    Virginia Tech

08/Skills

Tools of the trade

  • C / C++
  • Python
  • TypeScript
  • Embedded firmware
  • ROS
  • Computer vision
  • PyTorch
  • Control systems
  • Next.js
  • PostgreSQL
  • Supabase
  • Vector embeddings
  • ARIMA modeling
  • KiCAD

Languages

  • C
  • C++
  • Python
  • TypeScript
  • JavaScript
  • Java
  • SQL (PostgreSQL / PL-pgSQL)
  • HTML & CSS

Embedded & hardware

  • Firmware development
  • Real-time systems
  • Control architectures
  • Sensor / actuator control
  • Communication protocols
  • Power electronics (boost converters, PI control)
  • Arduino / Arduino Q
  • Raspberry Pi
  • Jetson Nano
  • ESP32
  • MSP432
  • Bluetooth

Robotics & AI/ML

  • ROS
  • Computer vision
  • AprilTags
  • PyTorch
  • Pandas
  • ARIMA / time-series modeling
  • PCA (custom C implementation)
  • OpenAI API
  • Vector embeddings & semantic search
  • pgvector
  • LLM integration

Web & data

  • Next.js
  • React
  • Tailwind CSS
  • Supabase
  • PostgreSQL
  • Row-Level Security
  • pgmq / pg_cron / pg_net
  • Deno & edge functions
  • REST API design
  • Tableau API

Tools

  • Git / GitHub
  • VS Code
  • CMake
  • Fusion 360
  • OnShape
  • KiCAD
  • ESLint
  • Supabase migrations

09/Contact

Let's build something

Open to conversations about robotics, embedded systems, ML, and interesting problems in general.