Submissions

Accepting submissions till 10 Dec 2025, 11:59 PM

Not accepting submissions

📜 Speaking policies and guidelines One speaker per talk. No co-speakers or joint presenters. Vendor-neutral submissions. Talks must focus on technical concepts, case studies, and real-world learnings. expand

📜 Speaking policies and guidelines

  • One speaker per talk. No co-speakers or joint presenters.
  • Vendor-neutral submissions. Talks must focus on technical concepts, case studies, and real-world learnings.
  • If your intention is to showcase a product, platform, or tool, you’re welcome to submit a (paid) pitch session, or run a sponsored workshop to teach your tool/product/platform. (Reach out to sales@hasgeek.com for sponsored workshops and pitch sessions.)
  • We strongly encourage talks that involve open source technology, tools, or frameworks - especially those built or adopted within your organization.
    The goal is to ensure the audience can take back learnings and technology they can experiment with or implement independently.

Guidelines for submissions

BEFORE you begin writing your submission, please give some thought to the following:

  • Who is the audience for your session? Think about their interests, work roles, challenges, age or experience as you decide this.
  • What problem/pain are you trying to solve (for the audience)? This should be something that is communicated clearly so that they have a sense of your session’s importance.
  • What will be the scope of your session? This will help identify the central topic or theme and should describe broad areas you plan to cover during the session?
  • How will participants benefit from your session? Think of practical and specific ways in which they will be able to apply the knowledge they gain, and beyond just general awareness.
  • What is the appropriate format for your session, given the audience and objectives that you have in mind?

The most successful talks and sessions are those where presenters are able to abstract an actionable insight from a common pain area, enlighten the audience about something new, provide a fresh perspective, and/or demonstrate innovation.

Here’s a guide for speakers to draft their presentations.

Make a submission

Accepting submissions till 10 Dec 2025, 11:59 PM

Lalit Mohan Chandra Bhatt

Turning Installed Base into a Revenue Engine: Leveraging Data & AI for Recurring Growth

The future of aftermarket and customer success lies in unlocking the hidden value of installed base for indsutrial OEM and machinery manufacturers. By combining deep data visibility with AI-driven insights, organizations can identify expansion opportunities, predict service needs, and drive recurring revenue at scale. This session explores how Installed Base Intelligence transforms customer relat… more
  • 0 comments
  • Submitted
  • 03 Sep 2025

Priyank Kapadia

Enterprise AI Architecture: Building an Agent Marketplace for Business Processes

Session Description Enterprises are under pressure to move beyond AI hype and deliver real business value. Yet most efforts stall in pilots, weighed down by hallucinations, brittle demos, or unclear ROI. This session introduces a pragmatic enterprise AI architecture that enables an Agent Marketplace, a framework where reusable, composable AI agents transform core business processes. Rather than c… more
  • 0 comments
  • Submitted
  • 10 Sep 2025

Abhishek Prasad Singh

Future-Proofing QA: AI Strategies for Faster, Reliable Testing

Future-Proofing QA: AI Strategies for Faster, Reliable Testing more
  • 0 comments
  • Submitted
  • 15 Sep 2025

Nashit Babber

Building Production-Ready RAG Systems: From Hugging Face Models to Self-Healing Pipelines

The excitement around open-source LLMs like Mistral, LLAMA, and models on Hugging Face has democratized AI development. However, the journey from downloading a model to deploying a production-ready Retrieval-Augmented Generation (RAG) system is filled with hidden challenges. This talk bridges that gap by sharing battle-tested strategies for building RAG systems that scale, self-monitor, and integ… more
  • 0 comments
  • Submitted
  • 18 Sep 2025

Karun Japhet

What Happens Before and After the Code? AI Has a Role There Too

Most conversations about AI in software engineering focus on code generation. But for experienced engineers and tech leads, writing code is rarely the hardest part of the job. The real challenges lie in designing systems, clarifying requirements, building shared understanding, and keeping software healthy once it’s live. more
  • 0 comments
  • Submitted
  • 19 Sep 2025
Indicate the track in which your submission fits: Tack 1 AI in Software Development Life Cycle (SDLC) Type of submission: 30 mins talk

Keshav Biyani

The AI-Augmented DevSecOps Assistant: A Vendor-Neutral, Self-Healing SDLC

Session Description Within modern SDLC pipelines, AI is reshaping DevSecOps and AIOps for intelligent monitoring—yet much of the telemetry our builds already produce remains unused until something breaks. This talk shows how to put AI at the heart of the SDLC by embedding intelligence directly into CI/CD and infrastructure monitoring. more
  • 0 comments
  • Submitted
  • 21 Sep 2025
Karthika Vijayan

Karthika Vijayan

Smart Agents, Smarter Schedules: Agentic AI for Complex Optimization

Extended Abstract:- Constrained optimization lies at the heart of many complex systems where multiple limited resources, like time, labor, equipment, or energy, must be allocated efficiently to achieve specific goals in industries, while satisfying strict operational constraints. These problems are often high-dimensional, dynamic, and involve tightly coupled dependencies between variables. Tradit… more
  • 0 comments
  • Submitted
  • 21 Sep 2025

Mrityunjay Samanta

Transforming Industrial Safety with Vision AI

Session Overview: Workplace accidents often occur not because risks are unknown, but because they aren’t detected in time. Traditional safety checks rely on manual monitoring, audits, or delayed reporting leaving workers exposed to hazards during critical moments. Manual safety checks are also difficult to scale; as the number of sites and cameras grows, each new camera often requires customized … more
  • 0 comments
  • Submitted
  • 25 Sep 2025
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation Type of submission: 30 mins talk

Jeetendra Gund

Supercharging GitHub Copilot: Getting Started with GitHub MCP Server

GitHub’s Model Context Protocol (MCP) Server lets you securely bring your organization’s internal knowledge and workflows into GitHub Copilot. In this beginner-friendly session, you’ll learn how MCP Server works, why it matters, and how to set it up step by step. We’ll cover core concepts, architecture, and a hands-on demo of creating your first endpoint — plus best practices for security, govern… more
  • 0 comments
  • Submitted
  • 25 Sep 2025
Indicate the track in which your submission fits: Tack 1 AI in Software Development Life Cycle (SDLC) Type of submission: 30 mins talk

Abhishek Khardenavis

Solving data sparsity with a data flywheel built on world foundation models and simulator environment

The increasing adoption of vision models in fields like Autonomous Driving and Oil & Gas is exciting, but a significant hurdle remains: the scarcity of readily available, domain-specific vision data. Creating datasets that accurately reflect the complexities of these industries and the specific scenarios they encounter is challenging and often requires substantial time and resources. This limitat… more
  • 0 comments
  • Submitted
  • 26 Sep 2025
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation Type of submission: 30 mins talk

Abhishek Khardenavis

Building a comprehensive test suite for Autonomous Driving stacks using generative AI

Automotive software in general and autonomous driving systems in particular, are heavily reliant on Model-Based Software Engineering (MBSE) for their development. This approach necessitates a comprehensive and multi-layered testing process to ensure safety, reliability, and performance. Traditional test case creation can be a time-consuming and resource-intensive bottleneck in this workflow. Reco… more
  • 0 comments
  • Submitted
  • 26 Sep 2025
Indicate the track in which your submission fits: Tack 1 AI in Software Development Life Cycle (SDLC) Type of submission: 30 mins talk

Abhishek Khardenavis

Transforming robot and vehicle autonomy with End-to-End AI stacks and World Foundation Models

The landscape of autonomous systems is rapidly evolving, shifting from traditional, modular approaches to integrated, end-to-end AI stacks. These stacks represent a significant leap forward, capable of directly translating raw perception inputs – such as camera images and lidar data – into precise action control outputs without relying on intermediate, hand-engineered modules. This streamlined ar… more
  • 0 comments
  • Submitted
  • 01 Oct 2025
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation Type of submission: 30 mins talk

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