🎯 Data Professional | GenAI Engineer | ML Developer
📍 Bangalore | 📧 [email protected] | LinkedIn | Kaggle
I build LLM-powered applications, scalable ML pipelines, and intelligent automation tools. Passionate about solving real-world problems using GenAI, Python, and cloud platforms.
Languages: Python, SQL, Java, C
Frameworks: PyTorch, TensorFlow, FastAPI, Flask, Pandas
ML/DL: CNN, RNN, Transfer Learning, LLMs
GenAI: OpenAI, LangChain, LlamaIndex, FAISS
DevOps: Azure DevOps, CI/CD, Docker, Linux
Visualization: Power BI, Tableau, Plotly
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🔬 Enhancing Brain Tumor Identification with EfficientNetB4 in MRI Imaging
Published at I4C-2024, achieved 99.4% accuracy on classification tasks. -
🧠 Advancements in Brain Tumor Segmentation using Modified U-Net Architecture
Improved segmentation accuracy using a custom U-Net variant.
- GenAI-Powered SQL Assistant – Natural language to SQL interface for CSV-based analytics.
- Sales Forecasting (Rohlik) – 14-day demand prediction for European warehouses.
- Churn Prediction (Neo Bank) – Identified at-risk customers using behavioral data.
- RAG-based QA System – LlamaIndex + LangChain pipeline for document querying.
- Custom Repo Cleanup Tool – Python executable for auto-validating and sorting XML.
- Advanced analytics engineering
- MLOps & scalable model deployment
- System design for real-time AI solutions
I enjoy turning complex models into usable products, with a strong bias for simplicity and automation.
💡 "Code for impact. Research for change."