AI Engineer with 6 years of experience developing scalable AI and Generative AI solutions for enterprise environments. Expertise includes LLM applications, conversational AI, intelligent document processing, recommendation systems, predictive analytics, and MLOps. Proficient in Python, LangGraph, Hugging Face, TensorFlow, PyTorch, vector databases, and cloud-native deployments.
Expertise & skills
Selected projects
Manufacturing Quality Inspection Assistant
Built an AI assistant that analyzed inspection reports, summarized defects, and suggested corrective actions.
- Developed document ingestion workflows.
- Implemented vector search and RAG.
- Integrated factory reporting APIs.
- Optimized prompts for engineering documents.
- Containerized deployment using Docker.
Airline Fare Prediction Platform
Developed machine learning models to forecast airline ticket prices and demand trends.
- Built forecasting pipelines.
- Performed feature engineering.
- Automated model retraining.
- Published prediction APIs.
University Knowledge Assistant
Created an AI assistant to answer academic policy and course-related questions from institutional documents.
- Indexed large document collections.
- Implemented semantic retrieval.
- Built REST APIs.
- Enhanced response accuracy with prompt tuning.
E-commerce Fraud Detection
Designed an AI solution to detect fraudulent online transactions in real time.
- Developed anomaly detection models.
- Created feature pipelines.
- Evaluated model performance.
- Integrated prediction services.
Core competencies
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified AI Practitioner
- DeepLearning.AI Generative AI
- Hugging Face Transformers Certification
- Machine Learning Engineering for Production (MLOps)
Education
Bachelor of Technology (Computer Engineering)
Gujarat Technological University
Achievements
- Delivered more than 18 AI solutions across multiple industries.
- Reduced engineering document review time by 70% using AI automation.
- Improved forecasting accuracy by 25% through advanced feature engineering.
- Built reusable LLM services for enterprise applications.
- Successfully deployed production AI workloads on Kubernetes.
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