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I am an Applied AI Engineer with a master's in Computational Science (Data Science) from San Diego State University, specializing in Generative AI and Retrieval-Augmented Generation (RAG). I have built end-to-end RAG pipelines, performed prompt engineering, NLP workflows, and optimized deep learning models for efficient inference.\n\nBefore transitioning into AI, I spent over eight years as a full-stack software engineer in fintech, where I built scalable, Java-based systems. I now aim to merge my engineering expertise with my AI knowledge to create intelligent, innovative, and production-ready solutions.…I am an Applied AI Engineer with a master's in Computational Science (Data Science) from San Diego State University, specializing in Generative AI and Retrieval-Augmented Generation (RAG). I have built end-to-end RAG pipelines, performed prompt engineering, NLP workflows, and optimized deep learning models for efficient inference.\n\nBefore transitioning into AI, I spent over eight years as a full-stack software engineer in fintech, where I built scalable, Java-based systems. I now aim to merge my engineering expertise with my AI knowledge to create intelligent, innovative, and production-ready solutions.

Shuchi Shah

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an Applied AI Engineer with a master's in Computational Science (Data Science) from San Diego State University, specializing in Generative AI and Retrieval-Augmented Generation (RAG). I have built end-to-end RAG pipelines, performed prompt engineering, NLP workflows, and optimized deep learning models for efficient inference.\n\nBefore transitioning into AI, I spent over eight years as a full-stack software engineer in fintech, where I built scalable, Java-based systems. I now aim to merge my engineering expertise with my AI knowledge to create intelligent, innovative, and production-ready solutions.…I am an Applied AI Engineer with a master's in Computational Science (Data Science) from San Diego State University, specializing in Generative AI and Retrieval-Augmented Generation (RAG). I have built end-to-end RAG pipelines, performed prompt engineering, NLP workflows, and optimized deep learning models for efficient inference.\n\nBefore transitioning into AI, I spent over eight years as a full-stack software engineer in fintech, where I built scalable, Java-based systems. I now aim to merge my engineering expertise with my AI knowledge to create intelligent, innovative, and production-ready solutions.

Available to hire

I am an Applied AI Engineer with a master’s in Computational Science (Data Science) from San Diego State University, specializing in Generative AI and Retrieval-Augmented Generation (RAG). I have built end-to-end RAG pipelines, performed prompt engineering, NLP workflows, and optimized deep learning models for efficient inference.\n\nBefore transitioning into AI, I spent over eight years as a full-stack software engineer in fintech, where I built scalable, Java-based systems. I now aim to merge my engineering expertise with my AI knowledge to create intelligent, innovative, and production-ready solutions.

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Work Experience

Software Engineer – Backend & Applied AI at OpGov.AI

July 1, 2025 - Present

Designed and deployed an end-to-end agentic AI workflow with two integrated pipelines: a multi-layer transcription pipeline and a RAG-based chatbot pipeline. Built transcript extraction pipelines using yt-dlp, Selenium, Playwright, and OpenAI Whisper for diverse platforms. Implemented dynamic RAG retrieval optimization and surfaced relevant insights. Containerized back-end services with Docker. Automated end-to-end meeting notifications via Gmail and Google Calendar APIs. Integrated Azure cloud infrastructure for scalable, low-latency processing. Optimized distributed data pipelines, reducing response time and memory usage by over 50%.

Technology Developer Intern at Real AI Dynamics

October 1, 2024 - June 1, 2025

Contributed to developing end-to-end AI-driven Full Stack micro-SaaS solutions and VAPI-based voice agents for customer service automation and workflow enhancements. Built responsive frontend components using TypeScript and React. Deployed backend services on AWS. Integrated voice recognition and NLP technologies to enhance accessibility. Applied MLOps practices for deploying and monitoring AI models with Docker and CI/CD.

Sr Software Engineer at Tech Karma Technologies

May 1, 2017 - August 1, 2022

Led a team of 5 engineers to plan, execute, and deliver accounting workflows for six major ERP systems, meeting 100% deadlines and ensuring successful Go-Lives. Designed and implemented Accounting Modules and Reports (AP/AR, Balance Sheet, Income Statement, General Ledger, Trial Balance) across multiple ERP projects. Built scalable databases, migrated reports from Java collections to Jasper Reports (40% maintenance reduction). Improved backend performance and uptime by 30% through optimization and root-cause analysis. Collaborated with finance, product, and engineering teams and introduced event-driven processing using Apache Kafka.

Software Engineer at JKV Solutions Ltd.

December 1, 2015 - January 1, 2017

Worked on frontend technologies, API integration and payment gateways for the TRIPOZONE tourism website, enabling users to search and book tours, flights and hotels.

Computer Science Faculty at Silver Oak College of Engineering and Technology

January 1, 2012 - December 1, 2013

Taught Java, C, computer networks, compiler design, and web technologies; mentored students, established the Apple Lab, and led Java programming initiatives.

Software Engineer at Prodigy Software Pvt. Ltd.

June 1, 2011 - December 1, 2012

Contributed to Healthline health information site UI enhancements and the PILLTIME appointment scheduling tool, improving UX and patient satisfaction.