Artificial Intelligence Engineer with 8 years of experience designing enterprise AI, Generative AI, and Machine Learning solutions across insurance, banking, telecom, healthcare, and e-commerce. Experienced in LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), NLP, computer vision, predictive analytics, and production-scale MLOps.
Expertise & skills
Artificial Intelligence
Machine LearningDeep LearningGenerative AIAgentic AILarge Language Models (LLMs)Prompt EngineeringRAGAI Automation
AI Frameworks
LangChainLangGraphLlamaIndexSemantic KernelCrewAI
Machine Learning
TensorFlowPyTorchScikit-learnHugging Face TransformersCatBoostLightGBM
Natural Language Processing
BERTRoBERTaT5spaCySentence Transformers
Computer Vision
OpenCVYOLOv8Detectron2EasyOCR
Programming Languages
PythonSQLJavaScript
Databases
PostgreSQLMongoDBRedisMilvusPinecone
Cloud & DevOps
AWSMicrosoft AzureDockerKubernetesMLflowApache AirflowFastAPIGitHub Actions
Selected projects
Technologies: LangChain, Azure OpenAI, Pinecone, FastAPI
- Built an AI assistant to automate underwriting recommendations.
- Implemented RAG using policy documents and underwriting guidelines.
- Generated risk summaries and underwriting insights.
- Integrated enterprise APIs for policy evaluation.
- Reduced underwriting turnaround time.
Technologies: Python, TensorFlow, AWS, PostgreSQL
- Developed predictive models to identify network failures.
- Processed streaming operational data for anomaly detection.
- Generated proactive maintenance alerts.
- Improved network uptime through predictive analytics.
- Reduced incident response time.
Technologies: PyTorch, Redis, MongoDB
- Designed recommendation models for personalized shopping experiences.
- Built customer behavior prediction pipelines.
- Improved product recommendations using deep learning.
- Enhanced customer engagement through AI personalization.
- Optimized recommendation latency.
Technologies: LlamaIndex, OCR, ChromaDB, FastAPI
- Automated extraction of information from enterprise documents.
- Implemented semantic search across large document repositories.
- Generated AI-powered summaries and key insights.
- Improved document retrieval efficiency.
- Reduced manual processing effort.
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- Google Professional Machine Learning Engineer
- LangChain for LLM Application Development
- TensorFlow Developer Certificate
Education
- 2018
Bachelor of Engineering (B.E.) in Computer Engineering
Mumbai University
Achievements
- Delivered over 30 enterprise AI and Machine Learning solutions.
- Designed scalable Agentic AI and Generative AI platforms.
- Built production-ready RAG solutions for enterprise knowledge management.
- Implemented cloud-native AI applications on AWS and Azure.
- Improved AI model performance using MLOps and prompt engineering.
- Mentored development teams on enterprise AI architecture.
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