My Journey: From Traditional Code to AI Search
My engineering foundation was built on Python scripting and relational SQL databases, giving me a deep understanding of how real-world systems store and process data at scale. Earning my Microsoft Certified Technology Specialist (MCTS) in the .NET Framework shaped my structured, no-nonsense approach to problem-solving.
Today, I bridge the gap between traditional software engineering and modern AI. I focus heavily on the evolution from standard SQL to Vector Databases, building advanced Retrieval-Augmented Generation (RAG) pipelines, and integrating sophisticated AI tools into production environments.
Core Focus Areas
- AI Architecture & RAG Systems: Building hallucination-free applications using Pinecone, PGVector, and OpenAI.
- Database Management: Transitioning legacy SQL data workflows into high-dimensional vector search.
- Python Automation & AI Integration: Connecting APIs to build smarter, real-time automation solutions.
- Real-World Problem Solving: Tackling real-time developer challenges, from MCQ quiz systems to AI engineering interview prep.
Why I Created AicodewithHaritha
I built this platform to bridge the gap between AI theory and production-level practice. The AI space is highly competitive right now, and developers need more than basic tutorials. Here, you will find step-by-step guides, exact Python codebases, and the real-world debugging insights I’ve gained from my own builds.
also run the AicodewithHaritha YouTube Channel, where I focus on high-specification, cinematic technical content—including my recent Roadmap to Become an AI Engineer in 30 Days series. I designed the channel specifically for continuous learners and job seekers, focusing on:
- Real-Time Problem Solving: Live debugging and fixing production errors.
- Career Readiness: Deep dives into the toughest AI interview questions on RAG systems and vector databases.
- No-Fluff Engineering: Making complex concepts highly engaging and accessible.
Final Words
I’m continuously learning and exploring new technologies. If my work helps you learn faster,
avoid mistakes, or build something meaningful, then this blog has achieved its purpose.