Jay Kakadiya

• Designed and developed scalable backend systems and AI-driven automation workflows supporting core
business operations.
• Built high-performance REST APIs using Python and FastAPI for web and mobile platforms, ensuring low
latency and high-throughput responses.
• Integrated HuggingFace Transformers and open-source LLMs (Llama 3, Mistral) for custom NLP tasks
including text classification, entity extraction, and semantic search pipelines.
• Developed and deployed AI-powered features using LLM APIs (OpenAI, Gemini, HuggingFace Inference
API) for data enrichment, automated content generation, and intelligent business automation.
• Fine-tuned and evaluated pre-trained HuggingFace models for domain-specific use cases, leveraging the
Transformers and Datasets libraries for data preprocessing and model evaluation.
• Designed and optimized PostgreSQL schemas, queries, and data integrity mechanisms for production
workloads.
• Developed and customized Odoo modules to automate CRM, accounting, and operational workflows.
• Integrated Sanity CMS to manage dynamic content and structured data for web platforms.
• Automated complex multi-step workflows and third-party integrations using n8n, reducing manual operations
by 40%+.
• Deployed and managed infrastructure on AWS (EC2, S3, RDS, IAM) with focus on scalability and cost
efficiency.
• Implemented authentication, authorization, structured logging, and robust error handling across all services.
• Collaborated closely with frontend, product, and data teams to deliver reliable, production-grade solutions. API, Llama 3,
Odoo, Sanity CMS, n8n, AWS, Docker, Git

• Designed and developed scalable REST APIs using Flask and FastAPI with JWT authentication.
• Built secure backend systems supporting 1, 000+ concurrent users with MongoDB and PostgreSQL
integration.
• Integrated HuggingFace models and pipelines for NLP features including sentiment analysis and document
summarization within business intelligence tools.
• Integrated prebuilt AI models and AI agents using CrewAI for chatbot and business insight automation
solutions.
• Developed AI-powered analytics systems using PandasAI enabling natural language-to-SQL querying.
• Implemented microservices architecture using Docker in Agile environments.
• Built data dashboards using PostgreSQL and Grafana for real-time system and business insights.
• Designed and implemented ETL pipelines using Apache NiFi and PostgreSQL.
• Deployed production applications on AWS, Heroku, and Vercel with CI/CD pipelines via GitHub Actions.
• Maintained 99.9% uptime across deployed systems through proactive monitoring and alerting.

• Conducted code reviews and unit testing to ensure high-quality software releases.
• Documented APIs and codebases to improve team collaboration and onboarding.
• Followed Python best practices and industry coding standards across REST API and cloud deployment
tasks.
• Worked with Git, CI/CD pipelines, REST APIs, and cloud deployments.