Shubham Mandowara

About Shubham Mandowara

As an AWS Certified Machine Learning Specialist, I bring a deep passion for fintech, blockchain, and the stock market, combined with hands-on expertise in Machine Learning, Deep Learning, and AI—all grounded in a strong foundation of statistics and mathematics.I specialize in building LLM-powered systems that go beyond experimentation. Currently at Turing, I’m developing the core agentic SDK for a multi-agent LangGraph-based system, focused on text-to-SQL conversion with Neo4j for structured retrieval. I’m also leading initiatives around:* Agentic and multi-agentic flows for enterprise automation* Retrieval-Augmented Generation (RAG) using Azure AI* Email drafting agents with contextual understanding* Email classification pipelines* Enhancement prompts to optimize LLM reasoning and responsesPreviously, I demonstrated my skills on Kaggle, ranking in the top 4%, 9%, and 13% across multiple competitions. My end-to-end ML experience includes projects in image pattern recognition, credit scoring, sentiment and news classification, and LLM-based query generation.As a Machine Learning & LLMOps engineer, I’ve built and deployed scalable data pipelines, production-grade ML systems, and integrated LLMs into real-world workflows. I’m especially passionate about bridging the gap between foundational models and enterprise-ready applications.Let’s connect to explore collaboration, problem-solving, or innovative opportunities in AI.

Experience

1. Delivery Data Scientist Iii

   Turing

   Feb 2025 — Present · US

   Delivery Data Scientist at Turing**At Turing, I contribute to building cutting-edge AI solutions, with a strong focus on agentic LLM systems, RAG pipelines, and enterprise-grade LLMOps. My work spans across multiple domains, ensuring scalable, production-ready models that align with business objectives and technical excellence.**Key Building Text-to-SQL systems using LangGraph, LLMs, and RAG architecture* Designing and implementing end-to-end machine learning pipelines* Developing and deploying scalable ML models for real-world applications* Applying MLOps best practices to streamline deployment, monitoring, and continuous integration* Working on large language models (LLMs) and multi-agent workflows for advanced enterprise use cases* Collaborating with cross-functional teams to align AI initiatives with product and business goals**Key Successfully delivered LLM-powered systems that improve operational efficiency and automate complex workflows* Reduced deployment overhead and latency through optimized LLMOps pipelines and modular SDKs* Developed intelligent agents for tasks such as email drafting, classification, and automated tagging using cutting-edge prompt engineering and agentic flow design

Education

• One Fourth Labs

  Deep learning, Artificial Intelligence

  2019 — 2019

• Poornima College of Engineering, Jaipur

  Bachelor of Technology (B.Tech.), Computer Engineering

  2013 — 2017

• WorldQuant University

  Data Science and Machine Learning, Data Science and Machine Learning

  2019 — 2019

• Digital Vidya

  Data Science, Machine learning and data Science

  2019 — 2019

Skills

• Microsoft Word
• Java
• Microsoft Excel
• C
• Programming
• Html
• Windows
• Core Java
• Leadership
• C++
• Teamwork