AI Engineer with 6 years of experience building enterprise AI, Generative AI, NLP, and computer vision solutions. Experienced in designing LLM-powered applications, AI agents, document intelligence platforms, and scalable ML pipelines. Strong expertise in Python, PyTorch, Hugging Face, LangChain, Azure OpenAI, Docker, Kubernetes, and cloud-native AI deployments.
Expertise & skills
Selected projects
Healthcare Clinical Assistant
Built an AI assistant for healthcare professionals to summarize clinical documents and answer medical guideline questions.
- Implemented RAG pipelines, prompt optimization, document ingestion, semantic search, REST APIs, and containerized deployment.
Manufacturing Defect Detection
Developed a computer vision solution to detect production defects from assembly-line images.
- Trained CNN models, optimized inference, automated image processing, deployed scalable APIs.
Financial Risk Intelligence
Created an AI platform that generated financial risk summaries from structured and unstructured data.
- Built LLM workflows, integrated enterprise APIs, automated reporting, improved response accuracy.
AI Resume Screening Platform
Developed an intelligent recruitment solution for resume ranking and skill matching.
- Implemented NLP pipelines, embedding search, candidate ranking, and recruiter dashboard APIs.
Core competencies
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- DeepLearning.AI Generative AI
- PyTorch Fundamentals
- Azure OpenAI Service Essentials
- Hugging Face NLP Course
Education
Bachelor of Technology (Information Technology)
Gujarat Technological University
Achievements
- Delivered 18+ AI and ML solutions.
- Reduced document analysis time by 75% using Generative AI.
- Improved prediction accuracy by 22% through model optimization.
- Built reusable AI frameworks adopted across multiple projects.
- Successfully deployed production AI workloads on Azure Kubernetes Service.
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