About us
Join us to learn and practice AI, Generative AI, LLMs, Agent, Machine Learning, Deep Learning, MLOps, ML and Data engineering, and Data technology together with like-minded developers.
Our goal is to congregate with AI enthusiasts from all over Delhi area to learn and practice AI tech, through tech talks, workshops, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, GenAI, LLMs, MLOps, Data.
If you’d like to speak at our meetups, co-host your events, or inquire about partnership opportunities, please feel free to reach out to us.
https://www.aicamp.ai
Featured event
Build with AI with Google, Tata 1mg
Important Notes: RSVP on the AICamp event website is required for admission
Description:
Welcome to the AI meetup in Delhi, in collaboration with Google and Tata 1mg. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.
Agenda:
* 10:00am~10:30am: Checkin and networking
* 10:30am~1:00pm: Tech talks and Q&A
* 1:00pm: Open discussion and Mixer
Speakers/Topics:
Tech Talk: How AI Learns to Decide Which Store Ships Your Order: Deep RL and Constraint Optimization for Store Assignment
Speaker: Arkya Bagchi
Abstract: This workshop explores how AI can optimise store assignment in complex e-commerce supply chains. We’ll introduce an attention-based model that learns existing fulfilment policies through supervised learning and is then fine-tuned using reinforcement learning with an Advantage Actor-Critic (A2C) framework. The session will cover how delivery time, fulfilment cost, inventory availability, and split shipments can be jointly considered through a simulation-based reward. We’ll also discuss the practical challenges of deploying such models in large-scale, real-world supply chain systems and insights from experiments on Tata 1mg’s e-pharmacy network.
Tech Talk: Building a Clinical Digital Twin — Learning Patient State from Sparse Health Records
Speaker: Anshul Patel
Abstract: What would it take to build a "digital twin" of a patient — a compact representation that captures how someone's health is evolving over time, learned directly from messy, irregular clinical records? This talk introduces a fresh take on the Digital Twin project: learning a reusable longitudinal patient-state representation from sparse lab panels and reports. We'll look at how the design cleanly separates a patient's underlying clinical state from the interventions applied to them and their static context. We'll walk through the practical machinery — encoders that respect irregular time gaps, treating missing data as genuinely unavailable rather than "normal," and building incrementally so every component earns its place. We'll close with where this is headed: from representing patient state to explanation and forecasting.
Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Delhi and 500K+ worldwide.
Upcoming events
3
Build with AI with Google, Tata 1mg
TATA 1MG HEALTHCARE SOLUTIONS, 415/2, 3rd Floor, Motorola Excellence Centre, Mehrauli-Gurgaon Rd, DLF Colony, Sector 14, Gurugram, INImportant Notes: RSVP on the AICamp event website is required for admission
Description:
Welcome to the AI meetup in Delhi, in collaboration with Google and Tata 1mg. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.Agenda:
* 10:00am~10:30am: Checkin and networking
* 10:30am~1:00pm: Tech talks and Q&A
* 1:00pm: Open discussion and MixerSpeakers/Topics:
Tech Talk: How AI Learns to Decide Which Store Ships Your Order: Deep RL and Constraint Optimization for Store Assignment
Speaker: Arkya Bagchi
Abstract: This workshop explores how AI can optimise store assignment in complex e-commerce supply chains. We’ll introduce an attention-based model that learns existing fulfilment policies through supervised learning and is then fine-tuned using reinforcement learning with an Advantage Actor-Critic (A2C) framework. The session will cover how delivery time, fulfilment cost, inventory availability, and split shipments can be jointly considered through a simulation-based reward. We’ll also discuss the practical challenges of deploying such models in large-scale, real-world supply chain systems and insights from experiments on Tata 1mg’s e-pharmacy network.Tech Talk: Building a Clinical Digital Twin — Learning Patient State from Sparse Health Records
Speaker: Anshul Patel
Abstract: What would it take to build a "digital twin" of a patient — a compact representation that captures how someone's health is evolving over time, learned directly from messy, irregular clinical records? This talk introduces a fresh take on the Digital Twin project: learning a reusable longitudinal patient-state representation from sparse lab panels and reports. We'll look at how the design cleanly separates a patient's underlying clinical state from the interventions applied to them and their static context. We'll walk through the practical machinery — encoders that respect irregular time gaps, treating missing data as genuinely unavailable rather than "normal," and building incrementally so every component earns its place. We'll close with where this is headed: from representing patient state to explanation and forecasting.Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Delhi and 500K+ worldwide.61 attendees
Google Agents in Production for Enterprises (Virtual) - Ep 1
·OnlineOnlineImportant: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).
This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.
Brought to you by Google Cloud and AICamp, Agents in Production for Enterprises is a global event series designed for organizations ready to move beyond AI experimentation and into production reality. This series brings together Google Cloud engineers, partner architects, and enterprise practitioners to tackle the real-world challenges of building and deploying agentic AI at scale.
What to Expect:
- ▶️ Deep-Dive Talk: Strategic insights from Google Cloud engineers and partner architects on enterprise-grade AI architectures
- 💻 Live Demo: See production-ready agentic AI in action across real enterprise scenarios
- 🛠️ Hands-On Code Labs: Build and deploy agentic workflows with guided, code-first labs
- 🤝 Community & Networking: Connect with peers, speakers, and tech leaders solving the same challenges you face
Venue:
Virtual, join from anywhereMore virtual sessions:
13 attendees
AI Deep Dive Webinar - Taking LangGraph to production
·OnlineOnlineImportant: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).
This is virtual event for our AI global community, please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.
Join Diagrid to learn taking LangGraph to production
Tech Talk: Taking LangGraph to production
Speaker: Mark Fussell, Co-founder & CEO, Diagrid | Co-creator of Dapr. and Yaron Schneider, Co-founder & CTO, Diagrid | Co-creator of Dapr
Abstract: In this session, Dapr co-creators Mark Fussell and Yaron Schneider draw the line between checkpointing and durable execution, show exactly where LangGraph's persistence stops, and kill a live LangGraph agent mid-run to show Diagrid Catalyst bring it back without any re-architecture or custom recovery code.
You'll walk away knowing:- How to make LangGraph agents failure-proof, even in the face of complete outages
- How to keep a complete, tamper-proof system of record that proves what your agents did
- How to secure LangGraph deployments in any environment and specifically on Kubernetes
Who should attend
Engineers and architects running or planning to run LangGraph agents, platform teams responsible for agent reliability, and engineering leaders deciding how much of the reliability stack to build themselves.Venue:
Virtual, join from anywhereMore virtual sessions:
6 attendees
Past events
219
