🚀 Machine Learning & Deep Learning Enthusiast | 🏆 WiDS Datathon 2024 Global Rank 2 | 💡 Generative AI
- Passionate about AI, Machine Learning, and Deep Learning
- Experienced in LLMs, NLP, Computer Vision, and AI Deployment
- Love solving real-world challenges and working in fast-paced startups
- Kaggle competitor | WiDS Datathon 2024 (Global Rank 2 🏆)
🔹 Languages: Python, C/C++, Java, SQL, R
🔹 ML/DL: PyTorch, TensorFlow, Keras, Hugging Face, Scikit-learn, GAN, A/B Testing
🔹 NLP & LLMs: spaCy, NLTK, LangChain, RAG, Transformers, ChatGPT
🔹 Computer Vision: OpenCV, Detectron2, YOLO, Mask R-CNN
🔹 Backend & Infra: FastAPI, Kubernetes, Docker, Azure, AWS, Kafka, Redis, Apache Spark
🔹 MlOps: KubeFlow, Tensorflow Serving, TorchServe, ChromaDB, Qdrant, TensorRT, Airflow
🔹 ESG Survey Automation – Built an AI-powered NLP system at Wells Fargo using LLMs, vector search, and LangChain to automate document processing.
🔹 WiDS Datathon 2024 – Developed an ensemble ML model to predict metastatic cancer diagnosis periods, securing Global Rank 2 on Kaggle.
🔹 AI-powered Image Annotation – Designed a vision-based annotation tool using YOLO, Detectron2, and Mask R-CNN, saving $500K in manual labeling costs.
🌐 Portfolio | 📝 Blog | 💼 LinkedIn | 🏆 Kaggle | 🔥 GitHub