Adrian Lozada
M.S. Computational Science & Engineering @ Georgia Tech
I build high-performance computing systems, parallel algorithms, and intelligent software. My work spans HPC, distributed systems, robotics, and machine learning.
Experience
Software Engineer Intern
May 2025 - Aug 2025Orion Defense Solutions L.L.C. (Remote)
- Built and deployed a Python/FastAPI automation platform integrating LangChain and SQL-backed internal systems, reducing project cycle time by ~8 hours.
- Containerized platform microservices using Docker and Kubernetes, enabling rolling updates and eliminating ~7 hours of manual setup per week.
Undergraduate Researcher
Jan 2024 - May 2025Reality, Autonomy, Robot Experience (RARE) Lab, USF — Tampa, FL
- Published two first-author papers at ACM/IEEE HRI 2025 (25% acceptance rate) on autonomous fog-screen communication systems.
- Developed ROS nodes in C++ to synchronize Fetch robot behavior, achieving reliable distributed actuation.
Projects
HPC
High-Performance Parallel Computing
- Parallelized dense matrix kernels using OpenMP in C++, achieving near-linear 16x speedup at 16 threads on GT's PACE/ICE cluster.
- Accelerated a heat equation PDE solver on an NVIDIA H100 via CUDA shared memory tiling, achieving up to 83.9x speedup.
- Implemented MPI-parallel Monte Carlo simulation scaling to 64 processes with 99.7% parallel efficiency.
- Applied Roofline performance modeling to classify SpMV, stencil, and 3D-FFT kernels on Intel and AMD architectures.
Robotics
Autonomous Ground Vehicle
- Led a team of 7 to design and build an autonomous vehicle on Raspberry Pi, mentoring peers in Linux development and conducting code reviews.
- Designed and deployed a Flask backend with SQLAlchemy to expose REST endpoints for robot status, logs, and commands.
ML
GNN-Based Fraud Detection
- Developed a Graph Neural Network in PyTorch to classify fraudulent financial transactions, achieving 91% accuracy on real-world datasets.
- Preprocessed graph data with NetworkX, extracting structural features (centrality, clustering coefficients) to improve model performance.
Education
Georgia Institute of Technology
M.S. Computational Science and Engineering
Coursework: High Performance Parallel Computing, Numerical Linear Algebra, Modeling and Simulation
University of South Florida
B.S. Computer Engineering, summa cum laude
Honors: FLIT-GAP Scholar, Bright Futures Scholar
Coursework: Analysis and Design of Algorithms, Data Structures, Social Networks, Computer Architecture
Skills
Languages
Parallel / HPC
Tools
Systems / Areas
Libraries
Awards
UR2PhD Technical Conference Travel Award
Computing Research Association (CRA)
Tampa Conference Presentation Grant Program
CPGP
NSF Distributed Research Experiences for Undergraduates
DREU
Florida Bright Futures Scholarship
100% of Tuition