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K V Jaya Harsha
About Me
Hi, I'm K V Jaya Harsha a second-year undergraduate at IIIT Raichur with a strong interest in data engineering, MLOps, and scalable machine learning systems. I work at the intersection of cloud platforms, modern data pipelines, and AI workflows.
Currently, I’m focused on building production-grade ML pipelines using Azure and Databricks, applying best practices in modular design, monitoring, and orchestration. I’m also involved in full-stack web development and contribute to open-source projects at VISWAM AI.
My work spans from ingestion and transformation in cloud-based environments to deployment and observability in ML systems. I value clean design, automation, and reproducibility in every layer of the data and ML lifecycle.
Previously, I served as PR Head for student initiatives, where I led communications and outreach strategies.
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🌸 Iris Classifier
A simple machine learning model trained on the classic Iris dataset to classify flower species based on sepal and petal measurements. Implemented using Python and scikit-learn with a clean Jupyter Notebook workflow.
✈ ️ Flight Booking Agent — Groq x LLaMA 3 x LangGraph x Gradio
An intelligent flight assistant powered by Groq's ultra-fast LLM acceleration and LLaMA 3 (8B). Built using LangGraph for modular agent flow and Gradio for an interactive UI. The agent handles itinerary queries, searches flights, and books tickets—all in natural language.
🌍 Azure Earthquake Data Pipeline
A real-time data engineering pipeline built on Microsoft Azure. It ingests earthquake data via a public API, processes it using Azure Data Factory and Databricks (following the Medallion Architecture), and stores it in Synapse Analytics for dashboarding and alerting.
🌱 EcoCarb: Carbon Emission Prediction System
EcoCarb is an AI-powered carbon footprint predictor for the transportation sector. It uses ML models to estimate CO₂ emissions from travel data, enabling users and policymakers to make eco-conscious decisions. Scalable, data-driven, and sustainability-focused.
💡 Feel free to explore, clone, or contribute to any of these projects!
