Jainish Patel

1+ year of work experience

Dec 20255 mosApr 2026

Engineered production-ready AI/ML pipelines covering data preprocessing, model training, evaluation, and deployment for real-world applications. Developed and integrated Large Language Models (LLMs) using advanced Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) to build scalable, context-aware AI applications. Designed agentic AI systems capable of autonomous decision-making and multi-step task execution, significantly reducing manual intervention. Applied prompt engineering strategies to optimize LLM output accuracy and reliability for domain-specific use cases. Collaborated on scalable REST API backends, seamlessly integrating AI models for end-to-end product delivery.

Jun 20257 mosDec 2025

Built and fine-tuned deep learning models using PyTorch and Hugging Face Transformers for NLP and generative AI tasks. Developed intelligent document processing pipelines leveraging Sentence Transformers and vector embeddings for semantic search and question answering. Conducted model optimization experiments, including fine-tuning pre-trained LLMs on downstream tasks to improve performance metrics. Contributed to end-to-end data pipelines — collection, cleaning, and feature engineering — serving as the foundation for model training workflows.

Jan 20256 mosJun 2025

Contributed to AI/ML backend projects focused on enhancing conversational AI capabilities for procurement automation. Built a multilingual tender scraping system using Selenium and BeautifulSoup to extract and translate Chinese tender data, fully automating a previously manual process. Generated structured PDF reports using ReportLab with data persisted in MySQL, enabling efficient document management at scale. Developed and maintained Python scripts for data ingestion, transformation, and API integration across backend services.