Fields of interest: Data Science, ML Engineering, AI & Deep Learning, Optimization, Computer Vision, NLP, Reinforcement Learning
- Languages: Python, Java, C++, SQL, JavaScript, HTML
- DS/ML/DL: Tensorflow, sk-learn, PyTorch, Transformers
- Big Data: Hadoop, Spark
- DevOps: Linux, Git, Docker
| Position | Company | Field | Time Period |
|---|---|---|---|
| Data Science Intern | MIT / Lineage Logistics | ML, Causal Inference, Optimization | 2024-02 — now |
| Machine Learning Engineer | MD.ai | AI, LLMs, Computer Vision | 2023-04 — 2024-05 |
| Summer Associate | Boston Consulting Group | Analytics, Dashboard, Tech Strategy | 2022-10 — 2023-04 |
| Summer Intern | Mastercard | Marketing Analytics, A/B Testing | 2021-05 — 2022-10 |
- Master’s Degree in Business Analytics (Data Science & Operations Research) @ Massachussetts Institute of Technology (2023 - 2024)
- Bachelor's Degree in Data Science with Concentration in AI, Economics @ New York Univerisiy (2019 - 2023)
- ControlNet for Cubism Art (Computer Vision, Neural Network, AI) - Tranining ControlnNet to condition Stable Diffusion Modem
- Drone Delivery Optimization (Mathematics, Optimization) - Non-convex optimization project to optimize tasks allocation for a drone delivery network
- Contextless Writing Quality Prediction (ML, NLP, Data Science) - ML model to predict writing quality based on keystrokes
- Predicting Closing Stock Price (ML, Time-series, Finance) - Kaggle competition to predict the closing stock price of NASDAQ
- AI-Generated Image Detector (Diffusion Models, AI, Deep Learning) - Trained ResNet50 to identify images generated from diffusion models
More information in my LinkedIn 🚀