Hi, I’m Nikhil Jayachandran, a Machine Learning Engineer driven by curiosity and a deep passion for transforming raw data into actionable intelligence. With a strong foundation in Generative AI, LLMs, and RAG systems, I build scalable solutions that bridge data, machine learning, and real-world business impact.
🚀 From fine-tuning models like Gemma-7B and deploying voice-interactive agents with LangChain and Twilio, to constructing OCR and real-time vision pipelines with YOLOv5/v8—I’ve crafted full-stack AI systems that are used in production.
🧠 I'm obsessed with learning. Whether it's prompt engineering, deep diving into LangGraph, or orchestrating Mistral-based dynamic announcers—my hunger to explore new frameworks and architectures drives my projects.
💡 My journey is a blend of self-learning, experimentation, and hands-on building—from data pipelines to cloud deployments (AWS, Docker, FastAPI), I strive to become a data scientist who not only codes but drives decisions.
🔍 Currently exploring: Agentic Workflows (Autogen, CrewAI), VectorDBs (Pinecone, Weaviate), and multi-modal inference systems.
📊 Skills: Python, TensorFlow, PyTorch, LangChain, Transformers, SQL, Spark, Docker, CI/CD, NLP, Computer Vision, and more.
Let’s connect, collaborate, and build something awesome with data!
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