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Speaker

Rajan Sharma

Rajan Sharma

Principal Architect - Comtech

Delhi, India

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I am a Principal Architect at iSpace with expertise in Cloud Architecture, AI/ML, Serverless Computing, and Enterprise Security, leading the design of scalable and resilient enterprise solutions. I hold the AWS Security Specialty certification and am preparing for the Machine Learning Specialty, with focus areas including semantic search, intelligent content discovery, and AI-driven optimization in serverless systems.

Alongside my technical career, I am a Member of the Institute of Directors (IOD), India, and a Mentor with Startup India, where I guide founders and innovators in technology adoption, architecture strategy, and sustainable growth. My work blends deep technical problem solving with leadership, governance, and mentorship, giving me a holistic perspective on how technology drives business and innovation. Passionate about knowledge-sharing, I contribute to developer communities, mentor professionals, and explore the intersection of technology,leadership, and entrepreneurship

Area of Expertise

  • Energy & Basic Resources
  • Environment & Cleantech
  • Government, Social Sector & Education
  • Information & Communications Technology

Topics

  • Artificial intellince
  • aws
  • Machine Learning and Artificial Intelligence
  • embeddings
  • Vector Database
  • Artificial Intelligence and Machine Learning for Cybersecurity

Semantic Search & Intelligent Content Discovery with Embeddings

Search is the backbone of almost every digital product but traditional keyword search fails to capture meaning. In this session, we’ll explore how semantic search powered by embeddings and vector databases enables intelligent content discovery, personalized recommendations, and context-aware applications. We’ll go step by step: from generating embeddings with modern LLMs, storing them in a vector database, and combining them with large language models for retrieval-augmented responses.
The session includes a live demo comparing keyword search vs semantic search on the same dataset, showing how embeddings capture intent beyond exact words. Attendees will leave with a clear understanding of:
Core building blocks of semantic search (embeddings, vector DBs, RAG).

Practical tools to implement it on Google Cloud / open-source stacks.

Real-world use cases from enterprise knowledge discovery to smarter user experiences.

Rajan Sharma

Principal Architect - Comtech

Delhi, India

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