Artificial Intelligence Engineer with 8 years of experience delivering enterprise AI solutions across Finance, Healthcare, Insurance, Retail, Manufacturing, and Logistics industries. Expertise in Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Deep Learning, NLP, Computer Vision, and MLOps. Proven ability to architect intelligent AI systems that automate business processes, improve decision-making, and drive digital transformation using cloud-native technologies.

Expertise & skills

Artificial Intelligence

Machine LearningDeep LearningGenerative AIAgentic AILarge Language Models (LLMs)Prompt EngineeringRAGAI Workflow AutomationReinforcement Learning

AI Frameworks

LangChainLangGraphLlamaIndexCrewAISemantic Kernel

Machine Learning & Deep Learning

TensorFlowPyTorchScikit-learnHugging Face TransformersCatBoostXGBoost

Natural Language Processing

BERTT5Sentence TransformersspaCyNLTK

Computer Vision

OpenCVYOLOv8Detectron2EasyOCR

Programming Languages

PythonSQLJavaScript

Databases

PostgreSQLMongoDBRedisPineconeWeaviateChromaDB

Cloud & DevOps

AWSMicrosoft AzureDockerKubernetesGitHub ActionsMLflowApache AirflowFastAPI

Selected projects

Technologies: LangChain, GPT-4, Pinecone, FastAPI

Developed an AI-powered financial assistant for investment recommendations.
Implemented Retrieval-Augmented Generation (RAG) using financial reports and market data.
Built conversational workflows with contextual memory.
Automated portfolio analysis and investment summary generation.
Improved customer engagement through intelligent financial insights.

Technologies: TensorFlow, PyTorch, OpenCV, FastAPI

Developed an AI platform to assist healthcare professionals with disease prediction.
Built deep learning models for medical image classification.
Automated patient report summarization using LLMs.
Improved diagnostic support through AI-assisted recommendations.
Enhanced reporting accuracy and reduced manual analysis time.

Technologies: Python, XGBoost, AWS, PostgreSQL

Built predictive demand forecasting models for inventory optimization.
Developed shipment delay prediction algorithms.
Automated warehouse replenishment recommendations.
Improved supply chain visibility using predictive analytics.
Reduced inventory holding costs through AI-driven forecasting.

Technologies: LlamaIndex, LangGraph, GPT-4, ChromaDB

Developed an AI application for contract analysis and legal document review.
Automated clause identification and compliance validation.
Implemented semantic document search using vector databases.
Generated AI-based legal summaries for faster review.
Reduced contract analysis time by more than 65%.

Certifications

AWS Certified Machine Learning – Specialty
Microsoft Certified: Azure AI Engineer Associate
TensorFlow Developer Certificate
IBM AI Engineering Professional Certificate
Generative AI with Large Language Models

Education

Bachelor of Engineering (B.E.) in Information Technology
Visvesvaraya Technological University (VTU)
2018

Achievements

Successfully delivered 35+ AI and Machine Learning solutions for enterprise clients.
Designed scalable Agentic AI and Generative AI platforms for business automation.
Built production-ready RAG applications integrated with enterprise knowledge bases.
Optimized AI model deployment using Docker, Kubernetes, and MLflow.
Improved AI solution performance through prompt engineering and vector search optimization.
Guided engineering teams in implementing enterprise AI architecture and best practices.