Artificial Intelligence Engineer with 8 years of experience delivering enterprise AI, Generative AI, and Machine Learning solutions for banking, insurance, healthcare, manufacturing, retail, and public sector organizations. Specialized in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), NLP, Computer Vision, predictive analytics, and MLOps for scalable production environments.
Expertise & skills
Artificial Intelligence
Machine LearningDeep LearningGenerative AIAgentic AILarge Language Models (LLMs)Prompt EngineeringRAGAI Automation
AI Frameworks
LangChainLangGraphLlamaIndexAutoGenCrewAI
Machine Learning
TensorFlowPyTorchScikit-learnHugging Face TransformersXGBoostCatBoost
Natural Language Processing
BERTRoBERTaT5Sentence TransformersspaCy
Computer Vision
OpenCVYOLOv8Detectron2EasyOCR
Programming Languages
PythonSQLJavaScript
Databases
PostgreSQLMongoDBRedisPineconeMilvus
Cloud & DevOps
AWSMicrosoft AzureDockerKubernetesMLflowApache AirflowFastAPIGit
Selected projects
Technologies: LangChain, Azure OpenAI, Pinecone, FastAPI
- Built an AI assistant for clinical knowledge retrieval and treatment guidance.
- Implemented RAG using medical protocols and hospital documentation.
- Generated contextual summaries for healthcare professionals.
- Integrated secure APIs with hospital information systems.
- Improved access to clinical information and decision support.
Technologies: LlamaIndex, LangGraph, ChromaDB, GPT-4
- Developed an AI platform to analyze procurement contracts and supplier documents.
- Automated clause extraction and supplier risk analysis.
- Enabled semantic search across procurement repositories.
- Generated AI-powered executive summaries.
- Reduced procurement review effort and turnaround time.
Technologies: TensorFlow, Python, AWS, PostgreSQL
- Built predictive maintenance and fleet utilization models.
- Forecasted vehicle failures using telematics data.
- Automated maintenance scheduling recommendations.
- Improved fleet availability through predictive analytics.
- Reduced operational costs and downtime.
Technologies: OCR, OpenCV, FastAPI, MongoDB
- Automated invoice digitization and validation workflows.
- Extracted structured information from scanned financial documents.
- Implemented AI-based anomaly detection for invoice verification.
- Integrated document processing with ERP systems.
- Improved processing accuracy while reducing manual effort.
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- Google Professional Machine Learning Engineer
- Databricks Generative AI Fundamentals
- Generative AI with Large Language Models
Education
- 2018
Bachelor of Engineering (B.E.) in Information Technology
SRM Institute of Science and Technology
Achievements
- Delivered over 30 enterprise AI and Machine Learning implementations.
- Designed production-ready Generative AI and Agentic AI platforms.
- Built scalable RAG applications integrated with enterprise knowledge repositories.
- Implemented cloud-native AI solutions using AWS, Azure, Docker, and Kubernetes.
- Improved AI model quality through prompt engineering and MLOps best practices.
- Mentored engineering teams and contributed to enterprise AI architecture initiatives.
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