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Charan Kasanneni

@charankasanneni

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I build machine learning, RAG, and real-time data platforms for practical analytics and automation.

India

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What I'm looking for

I'm looking to build practical machine learning, RAG, and data engineering products where I can deepen my skills in scalable systems, analytics, and AI.

I've built machine learning systems for brain tumor detection and online payment fraud monitoring, using Python, PyTorch, Scikit-Learn, and Streamlit. During my Infosys Springboard internship, I cleaned transaction data, performed EDA, engineered behavioral features, and optimized a Random Forest model with cross-validation.

I built a multi-document RAG question-answering system with FastAPI, FAISS, BAAI embeddings, Groq, and OpenAI APIs. It supports PDF, DOCX, TXT, HTML, and Markdown ingestion, persistent vector indexing, WebSocket-based processing, analytics, and RAG evaluation.

I've also developed UberLocal Lakehouse, a real-time PySpark streaming ETL platform using Delta Lake, Redpanda, PostgreSQL, and Docker. I enjoy turning data into reliable ML and analytics products.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Infosys Springboard

Oct 2024 - Dec 2024 (2 months)

Performed data cleaning and exploratory data analysis to identify fraud patterns. Built and optimized a Random Forest fraud detection model and developed a Streamlit dashboard with automated email alerts.