Ankit Sharma

About Ankit Sharma

AI & ML Engineer | LLMs | Agentic AI | RAG | NLP | Knowledge GraphsAs a passionate AI/ML Engineer, I specialize in developing cutting-edge AI solutions, particularly in Agentic AI, Retrieval-Augmented Generation (RAG), and NLP. With hands-on expertise in fine-tuning and deploying Large Language Models (LLMs), I craft scalable and efficient AI-driven applications. Technical Expertise: I leverage frameworks like Hugging Face, PyTorch, TensorFlow, and Langraph,LangChain to build high-performance AI systems. My work spans from vector and knowledge graph databases to LLM optimization using PEFT and QLoRA for enhanced efficiency. Industry Impact: At Cisco, I led AI initiatives that boosted internal productivity by 25%, reduced latency by 60%, and improved scalability by 30%. I’ve developed RAG-powered chatbots, synthetic data generation systems, and intelligent automation tools that streamline workflows across industries. Passion for Research & Innovation: I thrive at the intersection of AI, automation, and problem-solving, consistently exploring ways to refine ML models, optimize AI agents, and enhance decision-making systems. I also contribute to open-source projects and enjoy mentoring teams on Generative AI applications.Let’s connect to explore AI innovation, research collaborations, and industry-transforming AI solutions!

Experience

1. Ai Engineer

   IBM

   May 2025 — Present · Bengaluru, IN

   As an AI Engineer at IBM, I design, develop, and deploy scalable AI and machine learning solutions that drive enterprise transformation. I lead end-to-end model lifecycle development, from data acquisition and preprocessing to production deployment and monitoring. I contribute to the design of intelligent systems that integrate natural language processing (NLP), knowledge engineering, and advanced machine learning techniques to solve complex business problems.Key achievements include:Leading the implementation of a knowledge graph framework that linked enterprise documents with contextual relationships, improving search and discovery efficiency by 40%.Architected and deployed NLP pipelines using Hugging Face Transformers and spaCy for document classification and entity extraction at scale.Collaborated cross-functionally with data scientists, engineers, and stakeholders to embed AI into business workflows, reducing manual processing time by 60%.Leveraged Python, TensorFlow, and IBM Watson APIs to create AI services aligned with business needs and compliance standards.Mentored junior engineers and contributed to internal AI best practice documentation.

Education

• Liverpool John Moores University

  Master's degree, Artificial Intelligence and Machine learning

• Siddaganga Institute Of Technology

  Bachelor of Technology (B.Tech.), Telecommunications Engineering

• International Institute of Information Technology Bangalore

  Postgraduate Degree, Machine Learning and AI