- 🎓 MSCS @ UC Riverside | Focus: Machine Learning & AI
- 🔬 Passionate about intelligent systems, model optimization, and cloud-native ML infrastructure
- 🧠 Working on bias analysis in Vision-Language Models and predictive autoscaling for AI
- 🔍 Interested in generative models, semantic search, and AI deployment on Kubernetes
- 📫 Always up for meaningful ML collaborations and open-source AI contributions
Programming Languages:
Python, C++, SQL, Bash
Machine Learning & AI:
Diffusion Models, Transformers, VLLMs, Supervised Learning, Semantic Search
Cloud & DevOps:
AWS, CloudLab, Kubernetes, Docker, HPA, EKS
Frameworks & Libraries:
PyTorch, TensorFlow, Scikit-learn, LangChain, FastAPI
Databases:
MongoDB, MySQL, PostgreSQL
- 🧬 Gravitational Lensing Generator using DDPM – Realistic astrophysical image synthesis using diffusion models
- 🔎 Semantic Search Engine for Medicine – Crawl, embed, and search online medicine retailers
- 📈 Smart Autoscaler for Kubernetes – ML-based autoscaler with HPA for AI workloads
- 🧠 VLLM Bias Detector – Automated tool to detect societal biases in vision-language models
Turning complex ML models into accessible real-world solutions.