AI Engineer with 4 years of experience in Computer Vision, Generative AI, Deep Learning, and intelligent automation. Skilled in building vision-based inspection systems, multimodal AI applications, document intelligence platforms, and scalable AI services for manufacturing, logistics, and healthcare.
Expertise & skills
Programming
PythonSQLC++
Artificial Intelligence
Machine LearningDeep LearningComputer VisionGenerative AIMultimodal AI
Frameworks
PyTorchTensorFlowOpenCVYOLOv8FastAPIHugging Face
Generative AI
LangChainCrewAIPrompt EngineeringRAGOpenAI API
Cloud
AWSGoogle Cloud
Vector Databases
MilvusFAISS
Databases
PostgreSQLMongoDB
Tools
DockerGitJenkinsMLflow
Selected projects
AI Visual Quality Inspection System
PythonYOLOv8OpenCVPyTorchAWS
Developed a computer vision solution to detect manufacturing defects in real time using deep learning models.
Medical Report Intelligence Platform
OpenAI GPT-4LangChainMilvusFastAPI
Built a Generative AI application that summarizes medical reports, extracts clinical information, and answers user queries.
Warehouse Safety Monitoring
TensorFlowOpenCVDockerPostgreSQL
Designed an AI-powered surveillance system to detect PPE compliance and unsafe activities in warehouses.
Ways of working
Problem SolvingAnalytical ThinkingCommunicationTeamworkAdaptabilityProject Ownership
Certifications
- AWS Certified AI Practitioner
- Google Cloud Generative AI Fundamentals
- DeepLearning.AI Computer Vision Course
- OpenCV Bootcamp
Education
Bachelor of Engineering (Electronics & Communication)
Achievements
- Improved defect detection accuracy by 34% using optimized vision models.
- Reduced manual inspection effort by 65% through AI automation.
- Delivered AI solutions for manufacturing and healthcare clients.
- Built reusable AI microservices that reduced development time by 30%.
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