Aditya Singh

About Aditya Singh

12 years of architecting AI systems. One constant principle: build AI that is powerful, governed, and trustworthy.I\'m an AI Architect and Generative AI (GenAI) Leader at Deloitte, designing and delivering enterprise-grade Large Language Model (LLM), Agentic AI, and Retrieval-Augmented Generation (RAG) systems for regulated, compliance-driven environments. My work spans the full AI lifecycle - from AI solution architecture and agent orchestration to MLOps, LLMOps, AI governance, and responsible AI:I build production-ready AI and Machine Learning (ML) platforms that deliver measurable business impact while meeting the highest standards of compliance, traceability, and trustworthy AI:• LLM-powered document intelligence → 80% reduction in manual review• Agentic AI pipelines → 90% improvement in data completeness• Production-grade RAG with guardrails → 40-50% reduction in hallucinations, 100% audit traceability• On-premise GenAI for government → stringent data sovereignty & security compliance :→ Generative AI, LLMs, Agentic AI, RAG & Prompt Engineering→ Azure OpenAI, LangChain, LangGraph, Azure Databricks, Azure ML Studio, MLflow→ AI Governance, Responsible AI, AI Ethics, Explainable AI, AI Risk Management & AI Compliance→ End-to-end ML & Natural Language Processing (NLP)- from model development to production deployment→ MLOps, LLMOps, Docker, Kubernetes & CI/CD for scalable AI platforms→ Predictive Modeling, Deep Learning, Python, SQL, PySpark, FastAPI, Scikit-learn→ Fortune 500 client delivery across retail, healthcare, consumer goods & government :AI adoption is accelerating - but without governance, traceability, and trust, it becomes a liability. I ensure every AI system I architect is audit-ready, explainable, and built for the long term.Currently open to new opportunities in AI Architecture, Responsible AI, and enterprise Generative AI leadership.Let\'s connect if you\'re building AI that needs to be trusted - not just deployed.

Experience

1. Manager - Ai Architecture & Data Science Genai Llm Responsible Ai

   Deloitte

   Aug 2024 — Present · Pune, IN

   I lead the architecture and delivery of enterprise-grade Generative AI (GenAI), Large Language Model (LLM), and Agentic AI solutions for large-scale, regulated environments - with a strong focus on AI Governance, Responsible AI, and audit-ready deployments:→ Architect end-to-end GenAI and LLM-powered solutions - including document intelligence platforms, Agentic AI data pipelines, and production-grade Retrieval-Augmented Generation (RAG) systems for compliance-driven enterprises.→ Design and implement AI Governance frameworks - embedding confidence-based guardrails, hallucination mitigation, Explainable AI, and 100% traceability of LLM, tool, and retrieval behavior to ensure AI Compliance and audit readiness.→ Lead the design and deployment of Agentic AI workflows using LangChain and LangGraph - orchestrating multi-step reasoning, tool usage, and retrieval pipelines that automate complex business processes at scale.→ Build RAG architectures with hybrid retrieval, cross-encoder re-ranking, semantic caching, and Prompt Engineering best practices - optimizing for accuracy, cost efficiency, and Trustworthy AI principles.→ Serve as technical lead and client-facing advisor for GenAI engagements - translating complex AI and Machine Learning (ML) capabilities into business-aligned roadmaps for senior stakeholders.→ Design and deliver Generative AI training programs (basic to advanced) for 250+ engineering practitioners — accelerating organization-wide adoption of GenAI, Agentic AI, and Responsible AI practices.→ Work extensively across Azure OpenAI, Azure Document Intelligence, Azure Databricks, Azure ML Studio, MLflow, Docker, and Kubernetes to build scalable, secure, and production-ready AI platforms: Azure OpenAI | LangChain | LangGraph | RAG | Agentic AI | Python | FastAPI | Azure Databricks | Azure ML Studio | MLflow | Docker | Kubernetes | MLOps | LLMOps

Education

• St.Michael's Senior Secondary School

  CBSE

  2000 — 2009

• Balaji Institute of Technology & Management, Sri Balaji Society, Pune

  PGDM, Telecom & Marketing

  2012 — 2014

• Renaissance College of Commerce & Management

  Bachelor of Commerce (B.Com.), Taxation

  2009 — 2012

• Aegis School of Business, Data Science, Cyber Security and Telecommunication

  Executive Post Graduate Program, Business Analytics, Data Science, & Big Data

  2018 — 2019

Skills

• Market Research
• Microsoft Word
• Spss
• Primary Research
• Market Analysis
• Report Writing
• Analytics
• Microsoft Excel
• Powerpoint
• Database Administration
• R
• Secondary Research
• Competitive Analysis
• Market Intelligence
• Competitive Intelligence
• Teamwork
• Sas Base
• Team Management
• Data Analysis