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I’m Yash Patel, an AI Engineer with 4+ years of experience building production-ready Generative AI and Machine Learning solutions. I specialize in LLMs, RAG architectures, and agentic/multi-agent workflows that turn complex enterprise requirements into reliable automation. My work focuses on scalable NLP and GenAI pipelines using Python, SQL, and modern LLM tooling. I enjoy designing systems that improve operational efficiency—whether that means implementing retrieval-augmented assistants with vector databases, orchestrating multi-agent processes with LangChain/LangGraph, or integrating enterprise APIs for intelligent task execution. I also bring practical engineering discipline through deployment with Docker and Kubernetes on AWS/Azure, plus monitoring and troubleshooting with tools like Splunk and Datadog.…I’m Yash Patel, an AI Engineer with 4+ years of experience building production-ready Generative AI and Machine Learning solutions. I specialize in LLMs, RAG architectures, and agentic/multi-agent workflows that turn complex enterprise requirements into reliable automation. My work focuses on scalable NLP and GenAI pipelines using Python, SQL, and modern LLM tooling. I enjoy designing systems that improve operational efficiency—whether that means implementing retrieval-augmented assistants with vector databases, orchestrating multi-agent processes with LangChain/LangGraph, or integrating enterprise APIs for intelligent task execution. I also bring practical engineering discipline through deployment with Docker and Kubernetes on AWS/Azure, plus monitoring and troubleshooting with tools like Splunk and Datadog.

Yash Patel

AI Engineer, Data Scientist, Web Developer, +4

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I’m Yash Patel, an AI Engineer with 4+ years of experience building production-ready Generative AI and Machine Learning solutions. I specialize in LLMs, RAG architectures, and agentic/multi-agent workflows that turn complex enterprise requirements into reliable automation. My work focuses on scalable NLP and GenAI pipelines using Python, SQL, and modern LLM tooling. I enjoy designing systems that improve operational efficiency—whether that means implementing retrieval-augmented assistants with vector databases, orchestrating multi-agent processes with LangChain/LangGraph, or integrating enterprise APIs for intelligent task execution. I also bring practical engineering discipline through deployment with Docker and Kubernetes on AWS/Azure, plus monitoring and troubleshooting with tools like Splunk and Datadog.…I’m Yash Patel, an AI Engineer with 4+ years of experience building production-ready Generative AI and Machine Learning solutions. I specialize in LLMs, RAG architectures, and agentic/multi-agent workflows that turn complex enterprise requirements into reliable automation. My work focuses on scalable NLP and GenAI pipelines using Python, SQL, and modern LLM tooling. I enjoy designing systems that improve operational efficiency—whether that means implementing retrieval-augmented assistants with vector databases, orchestrating multi-agent processes with LangChain/LangGraph, or integrating enterprise APIs for intelligent task execution. I also bring practical engineering discipline through deployment with Docker and Kubernetes on AWS/Azure, plus monitoring and troubleshooting with tools like Splunk and Datadog.

Available to hire

I’m Yash Patel, an AI Engineer with 4+ years of experience building production-ready Generative AI and Machine Learning solutions. I specialize in LLMs, RAG architectures, and agentic/multi-agent workflows that turn complex enterprise requirements into reliable automation. My work focuses on scalable NLP and GenAI pipelines using Python, SQL, and modern LLM tooling.

I enjoy designing systems that improve operational efficiency—whether that means implementing retrieval-augmented assistants with vector databases, orchestrating multi-agent processes with LangChain/LangGraph, or integrating enterprise APIs for intelligent task execution. I also bring practical engineering discipline through deployment with Docker and Kubernetes on AWS/Azure, plus monitoring and troubleshooting with tools like Splunk and Datadog.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Work Experience

AI Engineer at Tata Consultancy Services (Contract)

June 1, 2024 - Present

Designed and developed scalable AI/ML solutions using Python, SQL, and cloud-native technologies. Built and optimized NLP and Generative AI workflows using LangChain and OpenAI APIs, including Retrieval Augmented Generation (RAG) pipelines integrated with vector databases such as Pinecone, FAISS, and ChromaDB. Implemented AI workflow automation and multi-agent systems to support enterprise process optimization and intelligent task execution. Integrated enterprise APIs, SaaS platforms, and REST services to enable orchestration and AI-driven automation. Deployed containerized AI applications using Docker and Kubernetes across AWS and Azure, and improved model performance through prompt engineering. Monitored reliability, analyzed logs, and performed root-cause analysis using Splunk and Datadog while collaborating with engineering, product, and business teams to deliver production-ready solutions.

AI Engineer at Tata Consultancy Services

June 1, 2024 - Present

Designed and developed scalable Machine Learning and AI solutions using Python, SQL, and cloud-native technologies. Built NLP and Generative AI workflows using LangChain and OpenAI APIs, and implemented RAG pipelines with vector databases such as Pinecone, FAISS, and ChromaDB. Developed AI workflow automation and multi-agent systems for enterprise process optimization and intelligent task execution. Integrated enterprise APIs, SaaS platforms, and REST services for AI-driven automation and orchestration. Deployed containerized AI applications using Docker and Kubernetes across AWS and Azure. Optimized prompt engineering strategies and model performance for accuracy, scalability, and operational efficiency. Monitored AI application reliability, performed root-cause analysis using Splunk and Datadog, and collaborated with engineering, product, and business teams to deliver production-ready AI solutions.

Junior AI Engineer at Infosys (Contract)

January 1, 2023 - May 31, 2024

Assisted in developing and training Machine Learning models using Python and SQL for data-driven business solutions. Performed data preprocessing, cleansing, feature engineering, and exploratory data analysis to improve model accuracy and performance. Built REST API integrations and automation scripts to streamline data collection and workflow processes, and supported AI/ML pipeline development in collaboration with senior engineers for deployment and testing. Worked with AWS and Azure for scalable data storage, model experimentation, and processing. Created dashboards, reports, and data visualizations to support business insights, while participating in troubleshooting, log analysis, and performance monitoring using Splunk and Datadog.

Junior AI Engineer at Infosys

January 1, 2023 - May 31, 2024

Assisted in developing and training Machine Learning models using Python and SQL for data-driven business solutions. Performed data preprocessing, cleansing, feature engineering, and exploratory data analysis to improve model accuracy and performance. Developed REST API integrations and automation scripts to streamline data collection and workflow processes. Supported AI/ML pipeline development with senior engineers on model deployment and testing. Worked with AWS and Azure for data storage, experimentation, and scalable processing. Created dashboards, reports, and visualizations for business insights. Participated in troubleshooting production issues and performance monitoring using Splunk and Datadog, and collaborated with teams to gather requirements and validate datasets.

QA Automation Engineer at Coforge

July 1, 2022 - December 31, 2022

Participated in functional walkthroughs and requirement analysis with clients and stakeholders. Developed automation testing solutions using JavaScript and the Cypress framework. Executed manual and automated test cases to validate application functionality and performance. Assisted in preparing test plans, test scenarios, and test summary reports. Supported test environment setup and optimized automation workflows. Reported testing progress and collaborated with development teams to resolve issues efficiently.

Manual Tester at Mastercard

March 1, 2020 - July 31, 2022

Contributed to Agile ceremonies including sprint planning, daily scrum, release planning, and sprint retrospectives. Executed smoke, functional, regression, GUI, system, and user acceptance testing. Developed automation testing frameworks using Cypress and object-oriented JavaScript principles. Administered CI/CD automation scripts and maintained unattended execution workflows. Managed defects and collaborated with engineering and business teams using Jira. Performed REST API testing using Postman and validated JSON-based API responses.