GenAi Developer || Machine learning || AI
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Seasoned Generative AI Engineer with 4 + years of experience pioneering cutting-edge language models and multimodal systems. Expert in transformer architectures, reinforcement learning, and ethical AI development. Led a team that improved model efficiency by 40% while reducing bias by 35%. Specializes in developing AI solutions that drive innovation and solve complex business challenges at scale.
“I have over four years Plus of industry experience in software development and AI engineering, with a strong focus on building Generative AI solutions. My work primarily involves developing and deploying RAG-based (Retrieval-Augmented Generation) systems, LLM-driven chatbots, and data processing pipelines using tools like Python, LangChain, PostgreSQL (pgvector), and Azure AI services.
In my recent projects, I designed and implemented a GenAI chatbot that integrates vector search and document retrieval to deliver accurate, context-aware responses. I also worked on developing end-to-end AI pipelines — from data preprocessing and embeddings creation to deployment and monitoring.
I have strong hands-on experience with API integrations, microservice design, and containerization using Docker, ensuring that my AI applications are scalable and production-ready. My focus has always been on combining technical depth with practical business outcomes — improving response accuracy, automating workflows, and enhancing user experience through AI-driven systems.”
“I completed my Btech in Computer Science from JNTUK specializing in CSE. My coursework and projects focused on NLP, Generative AI, and model deployment — which directly align with my current work in AI engineering.”