Artificial Intelligence Engineer with 8 years of experience architecting enterprise AI, Generative AI, and Machine Learning solutions for banking, insurance, healthcare, retail, and energy sectors. Experienced in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Natural Language Processing, Computer Vision, MLOps, and cloud-native AI platforms.

Expertise & skills

Artificial Intelligence

Machine LearningDeep LearningGenerative AIAgentic AILarge Language Models (LLMs)Prompt EngineeringRAGAI Automation

AI Frameworks

LangChainLangGraphLlamaIndexCrewAIAutoGen

Machine Learning

TensorFlowPyTorchScikit-learnHugging Face TransformersLightGBMCatBoost

Natural Language Processing

BERTRoBERTaT5Sentence TransformersspaCy

Computer Vision

OpenCVYOLOv8Detectron2EasyOCR

Programming Languages

PythonSQLJavaScript

Databases

PostgreSQLMongoDBRedisMilvusPinecone

Cloud & DevOps

AWSMicrosoft AzureDockerKubernetesMLflowApache AirflowFastAPIGit

Selected projects

Technologies: LangChain, GPT-4, Pinecone, FastAPI

Developed an AI platform to assess business and operational risks.
Implemented Retrieval-Augmented Generation using enterprise policy repositories.
Generated contextual risk summaries with supporting evidence.
Integrated workflows with enterprise governance systems.
Reduced manual risk assessment effort through AI automation.

Technologies: TensorFlow, Python, AWS, PostgreSQL

Built forecasting models for energy demand prediction.
Analyzed IoT sensor data for consumption optimization.
Generated proactive energy optimization recommendations.
Improved forecasting accuracy using deep learning.
Reduced operational energy costs.

Technologies: LlamaIndex, LangGraph, ChromaDB, Azure OpenAI

Created an AI assistant for sales teams using enterprise CRM data.
Automated account summaries and opportunity insights.
Implemented semantic search across customer documents.
Enabled intelligent follow-up recommendations.
Improved sales productivity with AI-driven insights.

Technologies: YOLOv8, OpenCV, PyTorch

Developed computer vision models for product defect detection.
Automated inspection across manufacturing lines.
Improved defect detection accuracy using deep learning.
Reduced manual quality inspection time.
Delivered real-time inspection dashboards.

Certifications

Microsoft Certified: Azure AI Engineer Associate
AWS Certified Machine Learning – Specialty
Google Professional Machine Learning Engineer
Databricks Generative AI Fundamentals
TensorFlow Developer Certificate

Education

Bachelor of Engineering (B.E.) in Computer Science & Engineering
JNTU Hyderabad
2018

Achievements

Delivered over 30 enterprise AI and Machine Learning solutions.
Designed production-ready Generative AI and Agentic AI applications.
Built scalable RAG platforms using vector databases and LLMs.
Implemented cloud-native AI deployments using AWS, Azure, Docker, and Kubernetes.
Enhanced AI performance through prompt engineering and MLOps practices.
Mentored engineering teams on enterprise AI solution architecture.