AI Engineer with 6 years of experience designing production-grade AI solutions using Generative AI, NLP, Machine Learning, Deep Learning, and MLOps. Experienced in building AI assistants, knowledge search platforms, predictive analytics, and intelligent document processing systems using modern LLM frameworks and cloud-native technologies.
Expertise & skills
Selected projects
Pharmaceutical Research Assistant
Built an AI assistant to search research papers, summarize findings, and answer scientific queries.
- Created document ingestion pipelines.
- Implemented vector search and RAG.
- Optimized prompts for domain-specific responses.
- Developed REST APIs.
- Containerized deployment with Docker.
Smart Warehouse Inventory Prediction
Developed ML models to forecast inventory demand and reduce stock shortages.
- Engineered forecasting features.
- Built automated training pipelines.
- Improved prediction accuracy.
- Integrated dashboards for reporting.
Travel Planning AI Concierge
Created an AI concierge capable of planning itineraries, answering travel questions, and generating personalized recommendations.
- Designed multi-agent workflows.
- Implemented conversation memory.
- Integrated external APIs.
- Enhanced response quality using prompt tuning.
Media Content Classification Platform
Built a content classification system for multilingual articles and documents.
- Developed NLP pipelines.
- Fine-tuned transformer models.
- Built scalable inference APIs.
- Optimized model performance.
Core competencies
Certifications
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Generative AI with Large Language Models
- Hugging Face NLP Certification
- MLflow for Machine Learning Operations
Education
Bachelor of Engineering (Information Technology)
Gujarat Technological University
Achievements
- Delivered over 18 AI-powered enterprise solutions.
- Reduced document search time by 78% using semantic search.
- Improved forecasting accuracy by 24%.
- Built reusable AI microservices adopted across projects.
- Successfully deployed scalable AI workloads on Kubernetes.
Similar engineers
Other AI / ML engineers with comparable experience.
