Artificial Intelligence Engineer with 8 years of experience building enterprise AI, Generative AI, and Machine Learning solutions across BFSI, healthcare, retail, telecommunications, and logistics. Experienced in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Natural Language Processing, Computer Vision, predictive analytics, and MLOps for production-scale AI systems.
Expertise & skills
Selected projects
Technologies: LangChain, GPT-4, Pinecone, FastAPI
- Developed an AI assistant to streamline loan eligibility assessment.
- Implemented RAG using banking policies and lending guidelines.
- Generated explainable credit recommendations for loan officers.
- Integrated workflows with enterprise banking systems.
- Reduced manual loan review time significantly.
Technologies: TensorFlow, Python, AWS, PostgreSQL
- Built demand forecasting models for multi-store retail operations.
- Predicted seasonal sales trends using time-series analytics.
- Automated inventory planning recommendations.
- Improved forecast accuracy through deep learning.
- Reduced stock shortages and excess inventory.
Technologies: PyTorch, MongoDB, Azure
- Developed churn prediction and customer segmentation models.
- Created personalized retention recommendations using AI.
- Automated customer behavior analysis pipelines.
- Improved retention campaign effectiveness.
- Delivered interactive analytics dashboards.
Technologies: LlamaIndex, LangGraph, ChromaDB, OCR
- Automated contract review and clause extraction.
- Built semantic search across legal documents.
- Generated AI-powered compliance summaries.
- Integrated OCR for scanned agreement processing.
- Reduced legal document review effort.
Certifications
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Google Professional Machine Learning Engineer
- IBM AI Engineering Professional Certificate
- Generative AI with Large Language Models
Education
- 2018
Bachelor of Technology (B.Tech) in Computer Science & Engineering
Chandigarh University
Achievements
- Delivered 30+ enterprise AI and Machine Learning solutions.
- Designed scalable Generative AI and Agentic AI platforms for enterprise automation.
- Built production-ready Retrieval-Augmented Generation (RAG) applications.
- Implemented cloud-native AI deployments using AWS, Azure, Docker, and Kubernetes.
- Enhanced AI model performance through MLOps and prompt engineering.
- Mentored AI teams and established enterprise AI development standards.
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