AI Solutions Architect with 8 years of experience designing end-to-end AI and Machine Learning solutions for banking, retail, manufacturing, logistics, and healthcare organizations. Specialized in predictive analytics, recommendation systems, MLOps, Generative AI, and cloud-native AI platforms. Experienced in leading AI solution architecture, model deployment, data pipelines, and enterprise AI modernization.
Expertise & skills
Selected projects
Enterprise Demand Forecasting Platform
Built AI models to forecast product demand and optimize inventory planning across multiple business units.
- Designed forecasting models
- Developed feature engineering pipelines
- Automated retraining
- Integrated dashboards
- Improved forecast accuracy
Fraud Detection Intelligence System
Created a real-time fraud detection platform for financial transactions using anomaly detection and ML.
- Built streaming inference APIs
- Implemented anomaly detection
- Optimized model performance
- Integrated alerting workflows
AI Sales Prediction Platform
Developed predictive models for sales forecasting and customer segmentation.
- Customer segmentation
- Sales forecasting
- Model monitoring
- Business reporting
Generative AI Knowledge Portal
Implemented an enterprise RAG platform to search policies, SOPs, and technical documentation.
- Vector database integration
- Prompt engineering
- Secure document ingestion
- Access control
MLOps Automation Framework
Built a reusable MLOps platform for continuous training, testing, and deployment of AI models.
- CI/CD for ML
- Model versioning
- Automated deployments
- Performance monitoring
Core competencies
Certifications
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- TensorFlow Developer Certificate
- Professional MLOps Certification
- Generative AI Fundamentals
Education
Bachelor of Technology (Computer Science)
Pandit Deendayal Energy University
Achievements
- Delivered 22+ enterprise AI and analytics projects
- Reduced model deployment time by 60%
- Improved forecasting accuracy by 30%
- Designed reusable MLOps accelerators
- Led AI architecture reviews and technical mentoring
Similar engineers
Other Generative AI engineers with comparable experience.
