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From Hype to Impact: Navigating the GenAI Journey

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Hosted By
Vishwanath N.
From Hype to Impact: Navigating the GenAI Journey

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Remember when sci-fi films like Iron Man, Her, and Interstellar amazed us with AI that could think, create, and connect? Those cinematic visions have swiftly evolved into boardroom realities.

Welcome to an event that cuts through the noise to deliver clarity and actionable insights. We bridge the gap between AI’s dazzling promises and practical business implementation. Our sessions provide frameworks, real-world case studies, and measurement strategies to turn technology into tangible results.

Join us to discover how to transform sci-fi hype into Monday morning action items on your GenAI journey and connect with fellow pioneers committed to converting AI’s potential into competitive advantage.

Registration on Sahaj website is mandatory, if you wish to attend the event.
Click here to register

Agenda

9:00 AM – 9:30 AM | Registration and Networking

9:30 AM – 9:40 AM | Introduction

9:40 AM – 10:20 AM | The Rise of LLM
This talk traces the evolution of language models from simple next-word predictors to advanced LLMs capable of reasoning, contextual understanding, and multimodal inputs like text and images. It covers the progression from basic encoder-decoder architectures to sophisticated transformer-based designs.

10:20 AM – 11:00 AM | GenAI and Agents in 2025
This session offers a quick pulse check on generative AI applications, distinguishing real advancements from hype, and exploring the transition from foundational LLMs to AI agents.

11:00 AM – 11:30 AM | Tea Break and Networking
A short pause to relax, recharge, and enjoy some refreshments with fellow participants.

11:30 AM – 12:15 PM | AI Agents: From Concepts to Reality by Sibin Bhaskaran and Shruti Dhvalikar
This talk discusses multi-agent systems in enterprise environments, focusing on a Python-based framework where agents collaborate on diverse data types, manage contextual conversations, and handle real-world constraints like access control and scalability.

12:15 PM – 12:45 PM | Democratizing LLM Fine-Tuning with FSDP and QLoRA by Preethi Sreenivasan
This session explores cutting-edge techniques such as QLoRA (Quantized Low-Rank Adaptation) and PyTorch’s FSDP (Fully Sharded Data Parallel) that enable efficient fine-tuning of very large LLMs (up to 70 billion parameters) on consumer-grade hardware, lowering barriers for developers and researchers.

12:45 PM – 2:00 PM | Lunch
A midday break to unwind and enjoy a meal, with time to connect and chat with other attendees.

2:00 PM – 2:30 PM | The Art of Pairing with AI by Akash Sathish
This talk focuses on best practices for leveraging AI tools effectively, avoiding pitfalls that reduce efficiency, and strategies to maximize impact whether building, prompting, or using AI.

2:30 PM – 3:00 PM | Productionizing LLMs on k8s by Prabakaran Kumaresshan
In this session, we’ll explore how to deploy and scale Large Language Models (LLMs) on Kubernetes, taking advantage of its robust orchestration capabilities for containerized applications.

3:00 PM – 3:30 PM | Moonshot Initiative by Venkata Subramani A T and Akilesh K R
What if a simple visual cue could reshape the world behind you? In this session, we unveil a prototype system that fuses real-time visual recognition with generative synthesis to alter environments on the fly. By interpreting physical features as semantic signals, the system triggers dynamic scene transformation, blurring the line between perception and imagination. We’ll explore the architecture behind this responsive visual pipeline, spanning object detection, latent mapping, and generative rendering.

3:30 PM – 4:00 PM | Tea Break
A refreshing pause to sip some tea, grab a snack, and catch up with others before the final session.

4:00 PM – 5:00 PM | Panel Discussion & Networking

Speakers

Sibin Bhaskaran
Solution Consultant, Sahaj Software
Sibin Bhaskaran is a Solution Consultant and technology lover at Sahaj AI Software. With over a decade of practical knowledge, he strives to gain a comprehensive understanding of the entire business lifecycle, putting into perspective the pivotal role that technology plays in its overall success. He has extensive knowledge across diverse domains of technology, spanning backend development, mobility solutions, robotic process automation, and machine learning.

Preethi Srinivasan
Solution Consultant, Sahaj Software
Preethi is a MS (by Research) graduate from IIT Mandi whose thesis focused on medical image post-processing. She is the first author on publications in ACCV, WiML, and IEEE CBMS. At Sahaj, she has built ML prototypes for video understanding, LLM fine-tuning, and RAG-based QA systems. Her blog series on LoRA and intrinsic dimension led to speaking engagements at PyCon India 2024 and The Fifth Elephant 2025.

Akash Sathish
Solution Consultant, Sahaj Software
Akash Sathish is a Solution Consultant at Sahaj Software and a machine learning enthusiast with hands-on experience in AI Assisted Solution Delivery, and has delivered talks on Machine Learning in collaboration with DeepLearning.AI and Intel. Known for his knack for storytelling, Akash enjoys breaking down complex concepts into simple and relatable insights, and making advanced topics accessible to a wide range of audiences.

Prabakaran Kumaresshan
Solution Consultant, Sahaj Software
Prabakaran developed a deep passion for leveraging technology to solve complex problems with over a decade of expertise in data wrangling and crafting data products. He is currently immersing in the realm of Platform Engineering.

Venkata Subramani A T
Solution Consultant, Sahaj Software
Venkata Subramani is a software developer and AI enthusiast working as a Solution Consultant at Sahaj Software. He is interested in artificial intelligence, especially computer vision, natural language processing, and Generative AI. He enjoys building AI-driven applications and has published research papers at international conferences. Venkata Subramani enjoys exploring new AI frameworks and tools to push the boundaries of what’s possible in machine learning and software engineering.

Akilesh K R
Solution Consultant, Sahaj Software
Akilesh is a Solution Consultant at Sahaj Software, passionate about building Large Language Models and pioneering agentic systems. He not only uses LLMs but also enjoys designing, fine-tuning, and optimizing them for specific use cases, with a strong understanding of their inner workings. Driven by relentless curiosity and a hands-on ethos, he brings depth, energy, and real-world impact to every AI project.

Shruti Dhavalikar
Solution Consultant, Sahaj Software
Shruti Dhavalikar is a Data Scientist with a robust background in R&D and a passion for democratizing artificial intelligence. Shruti has been instrumental in developing innovative AI solutions that bridge the gap between complex technology and practical business applications. She leads initiatives that transform data into actionable insights, empowering businesses to leverage AI for enhanced decision-making. Her expertise spans the creation of multilingual conversational assistants and the deployment of large language models, underscoring her commitment to making AI accessible and impactful.

Registration on Sahaj website is mandatory, if you wish to attend the event.
Click here to register

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