I'm a Data & Applied Scientist with 2.6+ years of experience building ML and deep learning systems that drive meaningful impact — from optimizing last-mile delivery with RL, and from demand forecasting for farms to building NLP-based RAG bots and solving customer issues using conversational AI. I believe in making things work and making them better — whether that’s squeezing a few extra percent from a model, or saving millions in operational waste.
Languages: Python (Advanced), R, SQL, C,Rust (Learning),Triton and cuda(In Planning)
ML Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras, PyCaret
Visualization: Matplotlib, Seaborn, Power BI, Excel, Tableau
Tools: Git, Docker, Jupyter, VS Code, SAS
Domains: Forecasting, Optimization, NLP, Tabular ML, Reinforcement Learning, Retrieval-Augmented Generation
Soft Skills: Team Leadership, Project Planning, Fast Prototyping, Documentation
- Building agent workflows using LangGraph & RAG
- competing in fine tuning competition https://www.kaggle.com/competitions/jigsaw-agile-community-rules current score at 0.876 AUC
- Full-stack ML deployment pipelines (CI/CD + monitoring)
If you're building something cool with AI, feel free to reach out. I'm always up for meaningful conversations and collaboration! 🚀