AI Engineer with 6 years of experience delivering enterprise AI solutions across Generative AI, Natural Language Processing, Machine Learning, and MLOps. Specialized in building AI-powered knowledge assistants, document intelligence platforms, predictive models, and autonomous AI workflows using modern LLM frameworks and cloud technologies.
Expertise & skills
Selected projects
Cybersecurity Threat Intelligence Assistant
Built an AI assistant that analyzed security reports, summarized vulnerabilities, and answered cybersecurity queries.
- Developed document ingestion pipelines.
- Implemented semantic search using embeddings.
- Built RAG workflows.
- Integrated enterprise APIs.
- Improved response relevance through prompt optimization.
Smart Agriculture Yield Prediction
Developed machine learning models to forecast crop yield using weather and soil datasets.
- Performed feature engineering.
- Built predictive models.
- Automated model retraining.
- Created REST APIs for prediction services.
Real Estate Property Insights Platform
Created an AI solution that summarized property documents and generated market insights.
- Indexed large document collections.
- Implemented document intelligence workflows.
- Built scalable APIs.
- Enhanced output quality using prompt engineering.
Subscription Churn Prediction
Developed an ML solution to identify customers likely to cancel subscription services.
- Built classification models.
- Optimized feature selection.
- Evaluated business metrics.
- Deployed prediction APIs.
Core competencies
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified AI Practitioner
- Advanced Prompt Engineering
- PyTorch Deep Learning Professional
- Machine Learning Engineering for Production (MLOps)
Education
Bachelor of Engineering (Computer Science)
Gujarat Technological University
Achievements
- Delivered 19+ AI solutions for enterprise applications.
- Reduced knowledge retrieval time by 80% using RAG architecture.
- Improved prediction accuracy by 26% through model optimization.
- Built reusable AI microservices for multiple business domains.
- Successfully deployed production AI applications on Kubernetes.
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