Uday BKV

Engineering Lead · Singapore

Shipping software, chasing AI, never done learning.

I'm Uday — an Engineering Lead with a track record across Banking, Energy & Utilities and Digital Transformation. I close the gap between business strategy and technical delivery, with hands-on depth in designing and shipping production systems at enterprise scale.

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Uday (blurred photo)
Off the clock, camera in handSee my photography →

Now

Sr. Engineering Tech Lead, SME Digital Channels, Open API & Partnerships, Singapore.

  • Autonomous multi-agent systems
  • Conversational AI
  • Automatic speech recognition
  • LLMs & multi-modal AI
  • PyTorch
  • AI adoption & transformation
01

Latest writing

Everything
  1. Building a Production ready Agentic RAG Pipeline: TF-IDF, HNSW, LSH, CAG, guardrails and MoreThis post outlines a potentially effective approach to user queries by implementing a Agentic Retrieval-Augmented Generation (RAG) strategy,and 10-guardrail safety sys...AI Engineering
  2. Building a Production ready RAG Pipeline: TF-IDF, HNSW, LSH, CAG, guardrails and MoreThis post outlines a potentially effective approach to user queries by implementing a Retrieval-Augmented Generation (RAG) strategy, and 10-guardrail safety system.AI Engineering
  3. Developing powerful Agentic AI through GitHub Copilot’s custom agents.In this post, we’ll explore what Copilot Custom Agents are, the problem they solve, and how you can automate multi-agent workflows using Python.AI Engineering
  4. Evaluating Green IT Metrics for Microservices, utilizing the KeplerThe majority of organizations are deploying and publishing Open APIs and microservices in both public and private cloud environments. Most cloud providers are followin...Green Software
  5. Develop MCPServer with a focus on eco-friendly technology practices.The field of AI Engineering is rapidly evolving and expanding to explore new possibilities. This growth is marked by frequent updates to models, integrations, upgrades...Green Software
  6. Embracing Green AI for a better tomorrowGreen AI: Green AI promotes the creation of sustainable and energy-efficient AI and machine learning models, aligning technology with environmental responsibility.Green Software
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What I write about

Technical write-ups drawn from hands-on implementation — not theory.

  1. AI-first problem solving

    Analysing organisational challenges and driving productivity through strategic AI implementation.

  2. Conversational & speech systems

    AI-powered applications built around speech recognition and conversational AI.

  3. Research into practice

    Turning recent papers into practical solutions with measurable business value.

  4. Responsible & green AI

    Safe, ethical and energy-aware AI — what to do, and what to avoid.

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From the notebook

All notes
Agentic AI Multi-Agent vs Agent to Agent CommunicationMulti-agent system is the architecture.Agent-to-agent communication is the plumbing Copilot adoption dies in the onboarding gapAccess isn't adoption. The squads that stuck with it were the ones we paired with in week one.
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Background

Learning log

My work spans the full delivery lifecycle — requirements, architecture, API management, backend and test engineering, and production-grade execution. I started in IT at twenty, and today lead engineering for the SME Digital Channels, Open API and Partnerships programme at Standard Chartered, Singapore.

  • PG Certification in Artificial Intelligence & Machine LearningIIIT Hyderabad
  • Master's in Software EngineeringBITS Pilani

Published elsewhere

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