Professional Overview
AI/ML Engineer with experience in building enterprise AI solutions using RAG, LLMs, Qdrant, Docling OCR, and cloud-native deployments on OpenShift and GCP. Worked with Intel's VPG Graphics Software Automation Engineering team. Skilled in Python, Vector Databases, Semantic Search, Generative AI, and scalable AI chatbot development.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed a RAG-based AI chatbot for internal knowledge retrieval using LLM .
- Integrated Qdrant for semantic search and efficient document retrieval.
- Designed responsive frontend interfaces using HTML, CSS, and JavaScript
- Deployed containerized applications on Docker and GCP, ensuring scalability.
Education
Field of Study: Computer Science Engineering
Field of Study: Information Technology
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
