Sohan Subudhi
Turing Scholar (CS + Math) undergrad at UT Austin. I work across systems, AI infrastructure, and applied ML.
Austin, TX
currently
- playing
- rocket league · pickup basketball
- watching
- nba playoffs · stand-up specials
- making
- funny instagram reels with friends
- building
- gnns over linux traces (ldos lab)
- learning
- kernel networking, llm code synthesis
Experience
- Jun 2023 – Aug 2023
Data Science Intern · VRIZE
McKinney, TX
- Wrangled large-scale data to automate training of custom time-series models on a self-service platform (PostgreSQL + S3).
- Cut model training time by 90% via statistical grid search and AWS parallelization, enabling faster client deployments.
- Shipped real-time Plotly applications surfacing historical forecasts to non-technical stakeholders.
- Jan 2024 – May 2024
Undergraduate Researcher · Geometry of Space Research Group
UT Austin
- Rendered synthetic training images of galaxy mergers from particle data across 10,000+ simulated IllustrisTNG subhalos.
- Automated a sky-survey API pipeline to curate ~1,000 real-world galaxy merger candidates for manual validation.
- Integrated Sim2Real domain adaptation with a CNN under Dr. Shyamal Mitra — 40% more accurate merger classification.
- Jan 2025 – Present
Under Dr. Aditya Akella · NSF Learning-Directed OS Lab, UT Austin
Undergraduate Researcher
- Created a training framework for Graph Neural Networks (GNNs) to predict application performance given Linux execution traces.
- Built an LLM-based code synthesis framework to automatically design Linux kernel TCP congestion algorithms, optimizing low-delay, high-throughput networking for specialized systems.
- May 2025 – Aug 2025
Software Engineer Intern · UKG
Weston, FL
- Architected the company's first multi-agent AI system (Google ADK), automating cross-functional security remediation through Jira and GitHub.
- Built high-leverage AI infrastructure with a multi-level Redis caching layer and custom LLM runtime — 12× faster query fulfillment.
- Maintained reliable real-time technology inventory data via ELT pipelines and a GitHub Actions CI/CD workflow.
Projects
-
Object-Oriented Programming Compiler
ARM-assembly-targeting compiler with OOP, custom buddy/5th-fit heap manager, and optimizations bringing runtimes within 15% of gcc.
c++ · arm asm -
6-Stage Pipelined Processor
AArch64 subset (misaligned/self-modifying support) with forwarding, dynamic stalls, and speculative branch prediction — 2.1× speedup, CPI 2.8 → 1.3.
verilog -
Networking Support for Custom OS
POSIX socket API on a bare-metal kernel — Ethernet/ARP/IPv4/UDP, checksum validation, thread-safe ARP cache, non-blocking I/O.
c++ -
Waste Detection Model
YOLOv5 satellite-imagery model at 92% mAP for land waste detection. Deployed as a public REST API on Streamlit Cloud.
python · yolov5 -
Donation Prediction Model
Linear-regression model for the Sankara Eye Foundation predicting donor behavior at 85% MAPE — drove a 12% lift in fundraising efficiency.
python · sklearn
Education
The University of Texas at Austin
B.S. Computer Science & Mathematics · Turing Scholar (CS Honors) · GPA 3.94