Software Engineer with 4+ years of experience building AI/ML production systems, full-stack services, and data pipelines. Focused on computer vision, NLP, cloud automation, and reliability-oriented orchestration. Currently pursuing MSCS (AI) at NYU Courant.
| Project | Org | Description |
|---|---|---|
| Solaris | NYU Courant (ICML 2026) | Multi-agent video world model research for action-conditioned Video-DiT under partial observability in Minecraft |
| MRI Brain Tumor Detection | NYU | Multimodal MRI classification and segmentation model achieving 91.3% accuracy and 97.1% sensitivity on BraTS |
| Cloud NLP Classification | Personal | Production multi-model text classification service on GCP with DistilBERT at 96.57% accuracy |
| PICO-LLM Research Pipeline | NYU | Modular LLM training pipeline for K-Gram MLP, LSTM, and KV-cache Transformer architectures |
| Decomposition AI | Personal | LLM-assisted knowledge mapping app converting prompts into reusable idea graphs via GPT-driven decomposition |
| Testaro | CVS Health (ACM ASSETS 2023) | Web accessibility testing tool with multi-tool compliance evaluation, presented at the 25th ACM SIGACCESS |
Languages: Python, JavaScript/TypeScript, Java, C++, SQL, HTML/CSS
ML / AI: PyTorch, TensorFlow, Hugging Face, scikit-learn, OpenCV, wandb, ChromaDB, FAISS
Cloud & DevOps: AWS (EC2, S3, Lambda), GCP (GKE), Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, ArgoCD
Frameworks: FastAPI, React, Streamlit, Vite, TailwindCSS, Node.js
Data & Storage: PostgreSQL, MongoDB, MySQL, Pandas, NumPy, Spark, HDFS
Observability & Testing: OpenTelemetry, Grafana, Prometheus, Playwright, pytest
