AI Engineer with 6 years of experience designing, developing, and deploying enterprise-grade Artificial Intelligence solutions using Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Computer Vision, and Generative AI. Experienced in building intelligent automation platforms, AI-powered assistants, recommendation systems, predictive analytics solutions, and document intelligence applications. Proficient in Python, LangChain, OpenAI APIs, Hugging Face, TensorFlow, PyTorch, cloud platforms, and MLOps practices for scalable AI deployments.
Expertise & skills
Selected projects
Technologies: Python, LangChain, OpenAI GPT-4, Pinecone, FastAPI, AWS
- Developed an enterprise AI assistant using Retrieval-Augmented Generation (RAG).
- Built semantic search across more than 120,000 enterprise documents.
- Implemented prompt engineering to improve contextual responses.
- Integrated Pinecone vector database for similarity search.
- Developed REST APIs for enterprise integration.
- Reduced employee document search time by 75%.
Technologies: Python, TensorFlow, OpenCV, OCR, Azure AI
- Developed an intelligent invoice processing platform using OCR and AI.
- Automated extraction of invoice information from multiple document formats.
- Built document classification and validation models.
- Improved extraction accuracy to 96%.
- Reduced manual processing effort by 80%.
- Integrated AI workflows with enterprise ERP applications.
Technologies: Python, XGBoost, Pandas, SQL, Power BI
- Built predictive machine learning models for customer churn analysis.
- Performed feature engineering and customer segmentation.
- Developed automated prediction pipelines.
- Improved churn prediction accuracy to 92%.
- Created business dashboards for customer retention insights.
- Enabled data-driven decision-making for marketing teams.
Technologies: Python, TensorFlow, FastAPI, Redis
- Designed and developed a personalized recommendation engine.
- Implemented collaborative and content-based recommendation algorithms.
- Built scalable REST APIs for real-time recommendations.
- Increased customer engagement by 38%.
- Optimized model inference performance for production environments.
- Improved recommendation quality using user behavior analytics.
Ways of working
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- TensorFlow Developer Certificate
- DeepLearning.AI Generative AI Specialization
Education
Bachelor of Technology in Computer Science Engineering
Gujarat Technological University
Achievements
- Successfully delivered 15+ AI and Machine Learning projects across Healthcare, BFSI, Retail, and Manufacturing domains.
- Reduced AI inference latency by 40% through model optimization techniques.
- Improved enterprise chatbot response quality by 35% using advanced prompt engineering.
- Built reusable AI components adopted across multiple enterprise projects.
- Mentored junior AI engineers on AI model development, deployment, and best practices.
Similar engineers
Other Generative AI engineers with comparable experience.
