AI Engineer with 6 years of experience designing and deploying enterprise AI solutions using Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing, Computer Vision, and MLOps. Experienced in building scalable AI platforms for insurance, healthcare, fintech, and logistics with strong expertise in cloud-native AI application development.
Expertise & skills
Programming Languages
PythonSQLGo
Artificial Intelligence
Machine LearningDeep LearningGenerative AINLPComputer VisionRecommendation Systems
LLM Frameworks
CrewAILangChainLlamaIndexOpenAI APIAnthropic Claude API
ML Frameworks
PyTorchTensorFlowScikit-learnXGBoost
Vector Databases
MilvusPineconeChromaDB
Cloud Platforms
AWSGoogle Cloud
Databases
PostgreSQLMongoDBRedis
DevOps & MLOps
DockerKubernetesMLflowJenkins
Visualization
Power BIGrafana
Selected projects
Technologies: Python, LangChain, OpenAI API, Pinecone, FastAPI
- Built an AI solution to analyze insurance claim documents.
- Implemented Retrieval-Augmented Generation for policy validation.
- Automated extraction of structured information from PDFs.
- Integrated semantic search using Pinecone.
- Developed secure REST APIs for enterprise systems.
- Reduced manual claim review effort.
Technologies: Python, CrewAI, Whisper, Azure Speech, FastAPI
- Developed a multilingual AI voice assistant.
- Integrated speech-to-text and text-to-speech services.
- Designed conversational workflows for customer support.
- Improved response accuracy using prompt optimization.
- Connected AI services with CRM applications.
- Enhanced customer self-service capabilities.
Technologies: Python, XGBoost, Pandas, PostgreSQL
- Built predictive models for delivery time estimation.
- Optimized route planning using AI-driven analytics.
- Developed automated model training pipelines.
- Improved fleet utilization through demand prediction.
- Created operational dashboards for logistics teams.
- Reduced transportation inefficiencies.
Technologies: Python, OpenCV, PyTorch, Docker
- Developed computer vision models for PPE detection.
- Implemented real-time object detection on CCTV streams.
- Containerized AI services for scalable deployment.
- Integrated alert mechanisms for safety violations.
- Improved workplace compliance monitoring.
- Reduced manual safety inspections.
Ways of working
LeadershipCommunicationCritical ThinkingProblem SolvingTeam CollaborationAgile Methodologies
Certifications
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Google Cloud Professional Machine Learning Engineer
- DeepLearning.AI Prompt Engineering for Developers
Education
Bachelor of Technology in Artificial Intelligence and Data Science
Amity University
Achievements
- Delivered more than 22 AI solutions for enterprise clients.
- Improved model deployment efficiency using MLOps automation.
- Reduced AI inference costs through model optimization.
- Built reusable LLM accelerators adopted across multiple teams.
- Recognized for innovation in Generative AI initiatives.
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