Amogh S.

AI Solutions Engineer | I Translate Business Ambiguity into Shipped Products | Chatbots, Agents, RAG | Databricks & Azure | Expert in Problem Discovery, Stakeholder Alignment and Cost Optimization for LLMs | BITS Pilani

Role
Senior Consultant - Machine Learning and Data Science at EY
Location
Mumbai, MH, IN
LinkedIn followers
500 followers

About Amogh S.

Hello, my name is Amogh Singhal and I like to learn new technologies and make things that can change the world for good. I can speak to databases and make models that are better learners than me. And turn your Gen AI models from black boxes to value compounders!In my free time, you can find me playing chess (recently acquired skill because of pandemic) or exploring art (motion pictures, comics and original Other places I will be ​https://github.com/devAmoghS [For my work samples and other pet projects I have done]*Kaggle*: [You can find my notebooks and datasets here]*Medium​*: ​https://medium.com/@singhal.amogh1995 [For my articles and blogs written on AI and CS]*Quora​*: [Because I like to read and write am a passionate AI engineer with a strong focus on designing and deploying cutting-edge generative AI solutions using Python and the powerful suite of Azure AI services. Leveraging my expertise in Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning, I build intelligent applications that transform data into meaningful insights and seamless user experiences.My hands-on experience with large language model frameworks such as LangChain, LangSmith, Semantic Kernel, and LlamaIndex allows me to create sophisticated AI interactions that push the boundaries of what’s possible. I’m well-versed in Azure’s PaaS ecosystem—including Container Apps, Functions, Blob Storage, and AI Document Intelligence—enabling scalable, efficient, and secure AI deployments.Collaboration is at the heart of my work. I thrive in cross-functional teams where I can contribute to optimizing AI models, streamlining production workflows, and ensuring that AI-driven applications deliver real value. With a strong foundation in MLOps and LLMOps, I focus on maintaining robustness and agility throughout the AI lifecycle.In essence, I’m driven by the challenge of turning complex AI technologies into practical, reliable solutions that empower businesses and users alike.

Experience

  1. Senior Consultant - Machine Learning and Data Science

    EY

    Sep 2022 — Present · Mumbai, IN

    Generative AI project(s)- Helping the world\'s largest supplier of athletic shoes and apparel; and a major manufacturer of sports equipment evolve their processes using GenAI and Databricks- Responsible for maturing the current Gen AI products to scale, while simultaneously adding observability and evaluation to those products.Project 1: Gen AI application for incident deflection. A smart incident management assistant whose objective is to minimise simple tech support tickets and use the previous knowledge base, to answer user queries.[Developed and in-Production]Project 2: Gen AI application to draft and grade Executive Suite communication for Major Incidents[Developed and in-Production]Project 3: Using Databricks and MLFlow to build Deployment Layer for serving multiple LLM models and maintaining boilerplate configurations for upcoming GenAI demands.[In-Development]2. Generative AI Email Triage ApplicationObjective: Enhance customer service efficiency by automating email triage for a large FMCG client.Key Features- Advanced Classification: Utilizes complex categorization systems with hundreds of taxonomies to accurately classify emails- Data Mining: Extracts up to 30 business-relevant data entities unique to each taxonomy- Generic Framework: Designed for seamless integration with any upstream and downstream systems- Isolated Processing: Supports separate processing at mailbox and market levels to handle diverse scenarios efficiently- Advanced Prompting Techniques: Employs in-context learning, zero-shot classification, and ReAct-based prompting to cover a wide range of email scenarios- Structured Output: Generates deep nested JSON structures for efficient post-processing.Benefits: Reduces manual intervention, enhances customer service efficiency, and improves data handling capabilities.[Developed and in-Production]🥇 Team of the Month Award - Feb 2023

Education

  • Gnyan Dham High School, Vapi

    10+2, Computer Science

    2001 — 2013

  • SRM IST Chennai

    Bachelor’s Degree, Information Technology

    2013 — 2017

  • Birla Institute of Technology and Science, Pilani

    Master of Technology - MTech, Data Science And Engineering

    2021 — 2023

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Amogh S. — Senior Consultant - Machine Learning and Data Science at EY in Mumbai, MH, IN | Unifers