AI professional with 8 years of experience designing, developing, and deploying intelligent applications using Machine Learning, Deep Learning, Computer Vision, NLP, and Generative AI. Experienced across Healthcare, Manufacturing, Retail, Logistics, and Financial Services. Strong expertise in scalable AI platforms, production ML pipelines, AI inference services, MLOps workflows, and cloud-native AI applications. Hands-on with TensorFlow, PyTorch, OpenCV, LangChain, LlamaIndex, Azure OpenAI, Kubernetes, Docker, AWS, and Azure.
Expertise & skills
Selected projects
AI-Based Medical Image Diagnosis Platform
Developed AI solution for X-rays, CT scans and MRI analysis.
- Developed deep learning models
- Built preprocessing pipelines
- Optimized CNNs
- Developed REST APIs
- Containerized services
- Improved accuracy with transfer learning
Intelligent Video Analytics System
Built real-time video analytics platform.
- Object detection
- Real-time inference
- GPU optimization
- Camera integration
- Latency reduction
- Event notifications
AI Recommendation Engine
Recommendation engine for e-commerce.
- Recommendation algorithms
- Feature engineering
- Customer analytics
- Ranking optimization
- Automated deployment
Enterprise Knowledge Assistant
Enterprise RAG assistant.
- Built RAG pipelines
- Vector search
- Secure ingestion
- Prompt optimization
- Semantic retrieval
Manufacturing Quality Inspection AI
Automated defect detection platform.
- Image classification
- Defect detection
- Camera integration
- Production optimization
- Quality reporting
Core competencies
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- TensorFlow Developer Certificate
- Deep Learning Specialization
- IBM AI Engineering Professional Certificate
- Professional Machine Learning Engineer
Education
Bachelor of Technology (Information Technology)
Nirma University
Achievements
- Delivered 25+ enterprise AI and Machine Learning solutions
- Improved manufacturing defect detection accuracy by 35%
- Reduced manual inspection effort by 75%
- Built scalable AI services supporting millions of image predictions annually
- Reduced AI deployment time using automated MLOps pipelines
- Mentored AI engineers on deep learning and production AI deployment
Similar engineers
Other Generative AI engineers with comparable experience.
