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Hi I'm Deepak Agarwal

🧠 About Me

  • "AI without business impact is just interesting code." This philosophy guides my approach as a thought leader and hands-on seasoned Cloud Solutions and AI Architect in building systems that deliver quantifiable outcomes.
  • Architecting solutions that have moved the needle in building next-gen contract intelligence domain.
  • Thinks from first principles, translate complex concepts into business value, and lead cross-functional teams to exceed customer expectations.
  • My expertise spans the full AI implementation lifecycle - from strategic vision to hands-on development and production deployment.

🏆 Selected AI Achievements (so far)

  • Spearheaded the development of autonomous contract-redlining using AI agents (AutoGen, LangChain, Azure OpenAI), mentoring a team of interns to expedite project delivery.
  • Ideated and delivered “Intent-2-Prompt” using Agentic AI cutting manual prompt-refinement efforts by ~80% while boosting accuracy by ~70%.
  • Pioneered the strategic vision and architected AI-Powered Icertis Custom Agent integrated with Microsoft Copilot using the next-gen extensibility framework, collaborating closely with Microsoft stakeholders. Now part of Teams App Store with citations in Microsoft Build blogs.
  • Engineered a high-throughput data ingestion pipeline for multi-lingual agreements of different file types (OCR, language translation, embeddings generation, attribute/clauses/summary extraction) at a rate of ~1K documents/hour, meeting stringent non-functional requirements.
  • Led Generative AI adoption for the Icertis Copilot partnering with product managers and data scientists to implement advanced AI features for ST/MT customers (including regulated US GOV customers) with custom APIM load-balancing policies on Azure OpenAI.

🛠️ Tech Stack

  • Applied AI & ML: Agentic AI · Generative AI · LLMs · Deep Learning · NLP · Prompt Engineering
  • Frameworks: AutoGen · LangChain · Gradio · Flask · Pandas · .NET Core
  • Cloud & Infrastructure: Azure AI Services · Docker · Kubernetes/KEDA · Serverless · APIM · Monitoring
  • Languages: Python · C#
  • Integrations: Microsoft 365 Copilot Extensibility · SAP BTP Generative AI
  • Architecture: Transformers · Cloud‑Native · Microservices · Distributed Systems

🏅 Selected Certifications and Credentials (so far)

🎤 Speaking Engagements (so far)

  • Panelist at "Build with AI" series (June 25 edition) by Google Developer Groups.
  • Speaker on multiple occasions at Pune User Group (PUG) – on topics related to Azure AI, Azure services and Microsoft Copilot extensibility framework with agents.
  • Presenter at Icertis annual events and multiple in-house brown-bag sessions sharing insights on AI, Generative AI, and Agentic AI.
  • Conducted sessions on Azure Search, Azure Machine Learning hosted by Synergetics learning

🤝 Engage with Me

I'm interested in connecting with forward-thinking organizations and professionals who believe AI should augment human potential rather than replace it. Let's connect and explore synergies!

Thank you! 🙏

Pinned Loading

  1. agentic-ai-lab agentic-ai-lab Public

    Open learning journey through Agentic AI development. Jupyter notebooks with practical examples, framework comparisons, and implementation patterns. Aggregated knowledge from multiple sources with …

  2. data-structures-and-algorithms data-structures-and-algorithms Public

    Set of most widely used algorithms

    Jupyter Notebook

  3. langchain-lab langchain-lab Public

    A comprehensive, hands-on exploration of LangChain through practical implementations across topic-specific branches covering agents, vector databases, output parsing, and more.

  4. machine-learning-lab machine-learning-lab Public

    📊 Hands-on ML learning repository with branch-organized topics: pandas, data preprocessing, LLM engineering & more. Educational focus with practical notebooks, community-driven learning, and open c…

  5. python-lab python-lab Public

    🐍 Python Lab - A continuous learning journey repository organizing Python concepts into focused branches. Aggregates knowledge from courses, labs, internet resources, and personal experiences for p…

  6. kubernetes-lab kubernetes-lab Public

    A curated collection of practical Kubernetes examples, patterns, and kubectl cheatsheets from real-world learning experiences - focused on simplicity and immediate usefulness.

    Python