I'm Aadarsha Gopala Reddy — an M.S. Computer Science graduate from Washington University in St. Louis (May 2026). My work sits at the intersection of machine learning, data engineering, and healthcare AI.
- Thesis Research: Domain-adversarial neural networks (DANN) to detect preclinical Alzheimer's disease from naturalistic driving behavior — processing 27K participant-weeks of sensor data
- Teaching: Graduate TA for CSE 5114: Data Manipulation & Management at Scale — data pipelines, distributed systems, capstone mentoring
- Student Success: Graduate Assistant at the Taylor Family Center, building data infrastructure for first-gen & limited-income student programs
- Graduate Governance: VP of the GPC Chamber (GPSC), serving on university advisory boards for student affairs & career engagement
Languages
ML & Data
Web & Systems
Data Engineering
| Project | Description | Tech |
|---|---|---|
| DRL Datacenter Cooling | Deep RL (DDQN, PPO, SAC) for HVAC optimization — 35.8% energy efficiency gain | PyTorch, EnergyPlus |
| MLB Statcast Pipeline | Real-time data pipeline ingesting live MLB pitch-by-pitch data | Airflow, Snowflake, Kafka, Streamlit |
| Multimodal Alzheimer's Prediction | CNN-based MRI analysis + clinical data fusion for disease classification | PyTorch, scikit-learn |
| Red-Blue VLM Security | Automated visual jailbreak attacks on VLMs + explainable defenses | Python, Gemini API |
| Degree | School | Years |
|---|---|---|
| M.S. Computer Science | Washington University in St. Louis | 2024 – 2026 |
| B.A. Computer Science & Data Analytics | Ohio Wesleyan University | 2020 – 2023 |
