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I'm a GenAI Engineer with 3+ years of specialized experience in Python development, Large Language Models, and GenAI applications. I build production-grade AI systems that solve real business problems.
From fine-tuning LLMs to building RAG systems and deploying ML pipelines at scale, I focus on creating reliable, accurate AI solutions that deliver measurable impact.
Principles that guide my work and decision-making
Pushing boundaries with cutting-edge LLMs and GenAI technologies
Building scalable, reliable ML systems that deliver real business value
Ensuring high-quality training data and robust evaluation frameworks
Optimizing ML models for speed, cost, and accuracy in production
Professional experience and education
Leading development of GenAI applications using LLMs, vector databases, and Python frameworks. Building RAG systems and fine-tuning models for improved performance.
Developed and deployed GenAI applications using LLMs, vector databases, and Python frameworks. Built RAG systems and fine-tuned models for improved performance.
Graduated with a B.Tech in Computer Science Engineering, specializing in AI and machine learning. Completed coursework in algorithms, data structures, machine learning, and deep learning.