NBNavya Bhat
@navyabl
AI & LLM engineer building reliable, secure conversational systems.
IndiaWhat I'm looking for
I am an innovative AI and LLM engineer with over five years of hands-on experience in Python development, prompt engineering, and building intelligent conversational systems that improve user engagement and automate workflows.
At IBM, I built and optimized RAG-based chatbots using LLMs and vector databases, engineered secure backend services with Node.js and Express, and integrated API-driven automation for IAM platforms, achieving measurable reductions in manual work and faster provisioning.
I focus on improving model accuracy, safety, and reliability through prompt refinement, evaluation, and guardrails, while also contributing to frontend React components, test automation, and deployment efficiency—driven by continuous learning in ML/AI.
Experience
Work history, roles, and key accomplishments
IBBuilt and optimized RAG-based conversational chatbots and backend services to automate IAM queries, reducing manual operations by 50% and improving system performance and security by 30%. Designed API-driven integrations with Saviynt, SailPoint, and ServiceNow to cut user provisioning turnaround by 40% and improved conversational accuracy by 25% through prompt refinement and safety guardrails.
Education
Degrees, certifications, and relevant coursework
LULiverpool John Moores University
Master of Science, Machine Learning / Artificial Intelligence
Pursuing a Master of Science in Machine Learning and Artificial Intelligence (ongoing).
IBInternational Institute of Information Technology Bangalore
Executive Diploma, Machine Learning / Artificial Intelligence
Enrolled in an Executive Diploma program focused on Machine Learning and Artificial Intelligence (ongoing).
VUVisvesvaraya Technological University
Bachelor of Engineering, Engineering
Activities and societies: Project: Waste Material Segregation using CNNs — developed image classification pipeline achieving over 90% accuracy.
Completed a Bachelor of Engineering / Technology degree with projects including CNN-based waste material segregation.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
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