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Kolluru Sekhar

@kollurusekhar

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I build RAG applications, semantic search, and AI-powered full-stack systems.

India

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What I'm looking for

I'm looking to build intelligent, context-aware AI systems, especially Generative AI applications using LLMs, RAG pipelines, vector search, and modern full-stack architectures.

I've built RAG-powered document chatbots and semantic search systems using LangChain, FAISS, Groq LLMs, LLaMA3, Mixtral, and vector embeddings.

For biomedical literature retrieval, I developed a hybrid RAG system combining BM25 and PubMedBERT, delivered through FastAPI, Next.js, Docker, and Azure Cosmos DB. I also built a healthcare platform using XGBoost, Gemini API, MongoDB, and Streamlit for disease prediction and patient management.

Through internships with Edunet Foundation, YBI Foundation, and Cognizant, I've worked on CNN waste classification, churn prediction, deep learning, and Azure data engineering workflows. I'm pursuing a B.Tech in Artificial Intelligence and Data Science and have published AI MedLab, an AI-based medical laboratory and e-health management system.

Experience

Work history, roles, and key accomplishments

AI Intern

Edunet Foundation

Developed a CNN-based Smart Waste Classification System using TensorFlow/Keras for real-time waste categorization. Preprocessed and augmented image datasets with OpenCV to improve model robustness and accuracy.

TensorFlow Keras OpenCV CNN Image Processing