- 🎓 M.S. Computer Science @ California State University, Fullerton (GPA 3.78)
- 🔬 Graduate Researcher (EG-RSCA Fellow) — RL-enabled smart manufacturing simulation (Isaac Sim, ROS 2)
- 🛡️ Former AI Research Intern @ DRDO – Research Centre Imarat (RCI)
- 🤖 Focus: Applied AI/ML, multi-agent systems, robotics simulation, and full-stack product engineering
- 🌐 Portfolio: github.com/adit24dhaya/portfolio · Next.js, live GitHub activity, recruiter mode
Feb 2026 – Present | Fullerton, CA
- Architecting an RL-enabled Smart Assembly Cell simulation for decentralized robotic manufacturing
- Building multi-agent coordination in NVIDIA Isaac Sim (TurtleBot3 AGVs + Franka Emika Panda)
- Implementing ROS 2 policies and orchestration for dynamic scheduling and material routing
Oct 2023 – Feb 2024 | Hyderabad, India
- Improved audio anomaly detection accuracy by 40% with TensorFlow autoencoders
- Reduced training time by 40% via CUDA GPU acceleration
- Built and processed environmental sound datasets for robust evaluation
| Degree | Institution | Timeline | GPA |
|---|---|---|---|
| M.S. Computer Science | California State University, Fullerton | Aug 2024 – Present | 3.78 |
| B.Tech Computer Science & Engineering | JNTU Hyderabad | Aug 2020 – Jul 2024 | 7.87 |
Multi-agent healthcare decision-support with RAG, risk modeling, orchestration, and explainability workflows.
Tech: Python, LLMs, RAG, FastAPI, testing
Trading simulation using BERT news sentiment + market data with backtesting.
Impact: ~15% improvement in trade decision accuracy
Tech: Python, BERT, NewsAPI, yfinance
TensorFlow autoencoder pipeline for industrial fan audio anomalies (mel-spectrogram features).
Impact: 40% accuracy improvement in detection workflow
Tech: Python, TensorFlow, Keras, Librosa
Academic advising platform for course guidance and student-facing workflows.
Tech: React, Tailwind CSS, Firebase, REST APIs
Food image classifier with Hugging Face inference, upload UX, and confidence scores.
Tech: Flask, Hugging Face API, JavaScript
Cafe discovery with geolocation, Google Maps & Places, and card-based UI.
Tech: JavaScript, Google Maps API
Inception-ResNet-V2 classifier — 90%+ accuracy, 120+ breeds, 10,000+ images.
Tech: Python, TensorFlow, OpenCV
YOLO + transformer fusion research for PCB inspection (metrics, evaluation, publication pipeline).
Tech: Python, PyTorch, YOLO, Jupyter
| Status | Repository | Contribution |
|---|---|---|
| 🟢 Open | chroma-core/chroma | Enable mypy lint in CI |
| 🟢 Open | openai/openai-agents-python | @function_tool on instance methods |
| 🟢 Open | skorch-dev/skorch | device='auto' selection |
| 🟢 Open | cleanlab/cleanlab | Opt-in Datalab placeholder issue manager |
| ✅ Merged | studio-11-co/falsify-inspect | CLI fixes, MMLU-Pro example, docs |
| ✅ Merged | Licinexus/licinexus-mcp | formatPncpDate test coverage |
Also: Scikit-learn, Hugging Face, LangChain, OpenAI API, MLflow, Apache Spark, Tailwind CSS, Next.js, ROS 2, GitHub Actions, pytest, mypy
- Healthcare multi-agent systems with RAG and explainability
- Open-source ML tooling contributions (CI, APIs, data quality)
- Isaac Sim + ROS 2 smart manufacturing research at CSUF
- Portfolio site — live GitHub activity & recruiter mode
- Fall 2026 AI/ML internships and new-grad roles
- ML Engineer / AI Engineer / Robotics Software positions
- F-1 student · OPT eligible after Dec 2026 graduation
- Collaborations in applied AI, agents, and intelligent systems
- Weekly automated link validation for
README.md - Pull request and push checks for README link health
- Dependabot updates for GitHub Actions dependencies