Artificial Intelligence Engineer with 8 years of experience developing enterprise AI, Generative AI, and Machine Learning solutions for finance, healthcare, logistics, manufacturing, and retail organizations. Expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), NLP, Computer Vision, predictive analytics, and MLOps with a strong focus on scalable cloud-native AI applications.
Expertise & skills
Selected projects
Technologies: LangChain, GPT-4, Pinecone, FastAPI
- Built an enterprise AI copilot for customer support teams.
- Implemented RAG across product manuals and knowledge bases.
- Designed intelligent conversation routing using Agentic AI.
- Integrated CRM systems for contextual responses.
- Improved first-contact resolution and support productivity.
Technologies: TensorFlow, Python, AWS, PostgreSQL
- Developed predictive quality analytics for manufacturing plants.
- Built defect prediction models using production data.
- Automated root-cause analysis dashboards.
- Improved production quality through AI insights.
- Reduced operational downtime.
Technologies: PyTorch, XGBoost, Azure Maps
- Created AI models for delivery route optimization.
- Predicted delivery delays using historical traffic patterns.
- Optimized fleet utilization with machine learning.
- Reduced transportation costs.
- Improved on-time deliveries.
Technologies: LlamaIndex, OCR, ChromaDB, LangGraph
- Automated compliance document analysis using LLMs.
- Built semantic search across enterprise policies.
- Generated AI-based compliance summaries.
- Extracted key clauses from regulatory documents.
- Reduced manual audit effort.
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- Databricks Generative AI Fundamentals
- IBM AI Engineering Professional Certificate
- TensorFlow Developer Certificate
Education
- 2018
Bachelor of Technology (B.Tech) in Computer Science & Engineering
Rajasthan Technical University
Achievements
- Delivered over 30 enterprise AI and Machine Learning implementations.
- Built scalable Generative AI and Agentic AI solutions for enterprise automation.
- Developed production-ready RAG platforms with vector databases.
- Implemented cloud-native AI deployments using AWS, Azure, Docker, and Kubernetes.
- Improved model performance through MLOps and prompt optimization.
- Mentored AI engineers and established AI development standards.
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