Data Scientist

• 🧑‍💻 Currently working as a Data scientist and AI/ML Intern at Analogica Software Development, Bengaluru.
• 📚 Pursuing MCA with a strong focus on Artificial Intelligence and Data Science.
• ⚙️ Exploring areas like Generative AI (LLMs), RAG Systems, Multi-Agent Architectures, and Computer Vision.
• 🧠 Passionate about building intelligent AI agents, automating workflows, and solving real-world problems with AI.
• 🤝 Open to collaborating on Generative AI, RAG Pipelines, Agentic Workflows, and End-to-End ML projects.
• 📫 Reach me at: karthikk1162@gmail.com

A Retrieval-Augmented Generation (RAG) system engineered to provide accurate, source-backed answers from custom datasets.

Key Technical Implementations:

• LangChain Orchestration: Utilized the LangChain framework to construct a robust retrieval pipeline connecting Google Gemini 1.5 Flash with custom data sources.
• Vector Retrieval System: Integrated ChromaDB (Vector Store) and HuggingFace Embeddings to enable high-precision search based on document meaning.
• Explainable AI: Developed a transparent citation mechanism that tracks and displays the exact source document and page number for every answer.
• Secure Data Handling: Implemented ephemeral (temporary) file processing logic to ensure user data privacy during document ingestion.

"I still remember the excitement of seeing my first machine learning model display perfect accuracy... But reality struck when I tested the model on unseen examples."

In this article, I explore the Bias-Variance Tradeoff, break down Regularization techniques (Lasso, Ridge, Elastic Net), and share strategies to build models that generalize to real-world data.

• Data Science with Python – Certisured (March 2025)
• Machine Learning – IBM
• Java Programming (12 Weeks) – NPTEL
• Data Analytics and Visualization – Accenture