software engineer

Jack
Stoltz

building  

Computer Engineering Junior at Georgia Tech seeking internships for Summer 2027

EDUC: Georgia Tech
DEGR: BS Computer Engineering
GRAD: December 2027
PREV: CPU Performance @ AMD
LOCA: Atlanta, GA

Jack Stoltz

Experience

AMD

May 2026 — August 2026
Software Engineer Intern - CPU Performance Team· Austin, TX
  • Engineered LLM agent over 4TB+ MongoDB of CPU experiment data via MCP, cutting perf triage from $\sim$2 hrs to $<$5 min
  • Automated IPC uplift computation for over 10K configs with Pandas ETL \& SQLite caching, replacing manual comparison
  • Ran e2e regressions across SoCs, tracking L3 hit rates, IPC, latency, \& bandwidth in React UI adopted by SoC Arch. team

Intel

Jun 2025 — Dec 2025
Software Engineer Intern - GPU Validation Infrastructure Team· Chandler, AZ
  • Built Python e2e data pipeline validating PSMI signal integrity through the GPU memory fabric, running nightly in the CI
  • Debugged SystemVerilog RTL failures with waveform analysis and trace tooling, root-causing defects across the GPU stack
  • Migrated $\sim$3k lines of legacy Perl validation infra. to Python, validating output parity against the original implementation

AquaBots Lab (VIP) @ Georgia Tech

Jan 2026 — May 2026
Lead Undergraduate Researcher - Computer Vision Team· Atlanta, GA
  • Spearheaded 6-person team in designing and implementing computer vision pipelines for salmon detection and classification
  • Enhanced YOLOv8 with PyTorch CNN for depth-contour extraction, boosting detection mAP by 20\% in underwater footage
  • Evaluated fish scale classifiers with AlexNet and 2-stream architectures, achieving 80\%+ accuracy on lab-annotated datasets

Teaching Assistant - Programming HW/SW Systems (ECE 2035)

Jan 2026 — May 2026
College of Engineering @ Georgia Tech· Atlanta, GA
  • Taught recitations for 60+ students on dynamic/static memory allocation, register-level execution, and HW/SW interaction
  • Held office hours weekly guiding students in debugging C++ memory faults, RISC-V assembly, and microcontroller projects

BrainBoost Lab (VIP) @ Georgia Tech

Jan 2025 — May 2025
Undergraduate Researcher - AI/Software Team· Atlanta, GA
  • Built Python NLP pipeline with NLTK parsing student math input into ASTs, classifying operators, operands, \& identifiers
  • Architected React frontend and SQL persistence layer enabling students to define and manipulate mathematical expressions
  • Surveyed 200+ students on the math expression input sandbox, using results to guide interface and usability improvements

Projects

P01

Multithreaded OS Scheduler

Apr — May 2026

A from-scratch scheduler in C coordinating up to 16 concurrent CPU threads through a shared ready queue. Built a thread-safe queue with pthread mutexes and condition variables that blocks idle threads to eliminate busy-waiting, and implemented FIFO and Round-Robin policies with fine-grained locking to prevent deadlock and cut contention.

C pthreads Concurrency Operating Systems
LANGUAGE
C
PRIMITIVES
mutex · cond var
POLICIES
FIFO · Round-Robin
SCALE
16 threads
P02

Hermedoc — Offline RAG System

Nov 2025 — Jan 2026

Secure offline RAG system letting DoD-restricted industries query private data locally via LLaMA-3. Generates embeddings with Hugging Face + LlamaIndex into a local vector database for contextual retrieval, fronted by a React + Flask UI built for non-technical users.

LLaMA-3 RAG LlamaIndex Hugging Face React Flask
Hermedoc interface
P03

Vision-Controlled Robotic Arm

Oct — Nov 2024

Real-time, gesture-driven control system. MediaPipe + OpenCV recognize finger gestures from a webcam to drive the arm's axes, with the Python vision pipeline interfaced to Arduino C++ firmware for seamless servo actuation over serial.

Python OpenCV MediaPipe Arduino C++
Robotic arm setup
P04

AI Text Sentiment Analyzer

2024

Web app that analyzes the sentiment of user-inputted text with a trained ML model, then renders the tone in real time as a live graph using Pandas and Plotly.

Python Flask NLTK Scikit-learn Plotly
Sentiment analysis output
P05

NextRead

2024

Recommendation app that generates book suggestions from the titles, authors, and genres a user has previously enjoyed and added to their library.

React TypeScript Flask NLTK REST
NextRead screenshot 1
NextRead screenshot 2

Skills

// languages

C / C++ Python Java C# Rust JavaScript / TypeScript HTML / CSS

// frameworks & libraries

PyTorch TensorFlow OpenCV Pandas React Node.js Flask

// tools & platforms

Unix / Linux Git / GitHub Docker AWS Azure PostgreSQL NoSQL Agile

About

I just enjoy building and optimizing things.

I'm constantly on the lookout for the next big challenge, reach out if you have one worth accomplishing.

Get In Touch

If you're building, reach out.