AI Engineer with 6 years of experience delivering enterprise AI solutions using Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing, Computer Vision, predictive analytics, and MLOps. Experienced in building AI copilots, intelligent automation platforms, recommendation systems, and real-time inference services across insurance, healthcare, retail, and energy domains.
Expertise & skills
Programming Languages
PythonSQLJava
Artificial Intelligence
Machine LearningDeep LearningGenerative AINLPComputer VisionRecommendation Systems
LLM Frameworks
LangChainAutoGenLlamaIndexHugging FaceOpenAI APIAnthropic Claude API
ML Frameworks
PyTorchTensorFlowScikit-learnXGBoost
Vector Databases
PineconeQdrantFAISS
Cloud Platforms
AWSMicrosoft Azure
Databases
PostgreSQLMongoDBRedis
DevOps & MLOps
DockerKubernetesMLflowJenkins
Visualization
Power BIGrafanaPlotly
Selected projects
Technologies: Python, XGBoost, Pandas, Azure ML, PostgreSQL
- Developed forecasting models for industrial energy consumption.
- Engineered features from IoT sensor and historical usage data.
- Built automated model training and validation pipelines.
- Published prediction APIs for enterprise applications.
- Created monitoring dashboards for operational teams.
- Improved forecasting accuracy for energy planning.
Technologies: Python, LangChain, OpenAI API, Pinecone, FastAPI
- Built an AI copilot to answer HR policy and benefits queries.
- Implemented Retrieval-Augmented Generation for knowledge retrieval.
- Integrated semantic search using Pinecone vector database.
- Developed secure REST APIs for HR portal integration.
- Optimized prompts for accurate contextual responses.
- Reduced HR support workload through AI automation.
Technologies: Python, OpenCV, PyTorch, Docker
- Developed computer vision models for traffic monitoring.
- Implemented vehicle detection and congestion analysis.
- Optimized inference performance for edge deployments.
- Containerized AI services using Docker.
- Integrated analytics with smart city dashboards.
- Improved real-time traffic visibility.
Technologies: Python, TensorFlow, FastAPI, Redis
- Designed AI models for personalized premium recommendations.
- Analyzed customer risk and behavioral patterns.
- Built scalable APIs for real-time scoring.
- Automated retraining workflows for production models.
- Improved pricing consistency using predictive analytics.
- Enhanced underwriting decision support.
Ways of working
LeadershipCommunicationAnalytical ThinkingProblem SolvingTeam CollaborationAgile Methodologies
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- Databricks Certified Machine Learning Professional
- DeepLearning.AI Generative AI with Large Language Models
Education
Bachelor of Engineering in Information Technology
Birla Institute of Technology
Achievements
- Delivered over 20 enterprise AI and Machine Learning solutions.
- Improved model deployment efficiency using automated MLOps practices.
- Built reusable AI services adopted across multiple business units.
- Optimized inference latency for large-scale production workloads.
- Recognized for technical excellence in Generative AI solution delivery.
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