Talks/Seminars/Workshops

I love to attend developer meetups, conferences, workshops and learn from them as much as I can. I sometimes talk on a range of topics that I love the most. All the slides of my talks/sessions can be found below.

Given by me

• Presented our paper A CFS–DNN-Based Intrusion Detection System at International Conference on Communication Devices and Networking, Sikkim Manipal Institute of Technology, Sikkim, June 3, 2017.
• Presented our paper A Comparative Study of Different Ensemble Learning Techniques Using Wisconsin Breast Cancer Dataset, at International Conference on Computer, Electrical & Communication Engineering, Techno India University, Kolkata, December 23, 2017.
• Co-presented our paper A Novel Transfer Learning-Based Missing Value Imputation on Discipline Diverse Real Test Datasets—A Comparative Study with Different Machine Learning Algorithms at International Conference on Emerging Technologies in Data Mining and Information Security, University of Engineering and Management, Kolkata, February 23, 2018.
• Spoke on Cyclical Learning Rates for training Neural Nets at DevFest Kolkata, November 3, 2018.
• Conducted a hack-session on Cyclical Learning Rates at DataHack Summit (organized by Analytics Vidhya), Bangalore, November 23, 2018.
• Delivered talks on Introduction to BigQuery at GDG Kolkata Cloud Study Jam (Academy of Technology), Google Cloud Next ’19 Extended - Kolkata on April 12 and April 19, 2019 respectively.
• Conducted a session on Ten Updates Introduced in TensorFlow 2.0 along with a short quiz at Google I/O Extended 2019, Kolkata, May 11, 2019.
• Conducted a session on Training neural nets: A methodical approach at ML/AR Developer Day organized by GDG Kolkata and DSC HIT (May 30, 2019).
  • Conducted the same session but in a more detailed manner at ML With The Experts - GDG Kolkata Meetup (July 7, 2019).
• Spoke at Google I/O Extended 2019, Bhubaneswar on Ten Updates Introduced in TensorFlow 2.0, June 9, 2019. Also shared a few opportunities with the students (link to the Opportunities’ deck).
• Spoke at DevFest Kolkata 2019 about how to approach the process of model deployment, August 3, 2019_._ My talk was titled Connecting Flutter with TensorFlow 2.0. Link to the slides, video and the GitHub repository.
• Spoke at DevFest Jaipur 2019 (September 08, 2019) on Structuring Machine Learning Projects.
  • Remotely presented on this topic at DevFest Izmir 2019 (November 23, 2019). Here’s the modified deck. Here’s a recording of the session.
• Spoke at Explore ML Academy on Problem Framing and How to find data set and fairness practices, September 14, 2019, Hyderabad.
• Spoke at DevFest Bhubaneswar 2019 (September 22, 2019) on The Human Loop in Machine Learning.
• Spoke at DevFest Goa 2019 (September 29, 2019) on Training Neural Nets: a Hacker’s Perspective.
  • Spoke at Class III of Launchpad Accelerator India (October 16, 2019), Bangalore on an extended version of the same topic. Deck: http://bit.ly/LPA_3.
  • Remotely presented on this topic at DevFest Warsaw & Radzymin 2019 (December 7, 2019).
• Presented my work on Blood Cell Detection using TensorFlow Object Detection API at TensorFlow Roadshow, Bangalore (October 01, 2019). Deck: http://bit.ly/tf-roadshow-sayak.
• Remotely presented my work on Predicting Publisher’s Names from Hackernews Article Titles at Global GDE Summit (October 26, 2019). Video available here (Courtesy: Akshay Bahadur). Deck: http://bit.ly/GDESummit19.
• Remotely presented at Machine Learning Weekend, Turkey on Building data pipelines with tf.data (November 3, 2019).
• Presented at Kaggle Days Mumbai on On the learning dynamics of neural nets (November 30, 2019).
• Conducted a workshop on Applied Deep Learning using TensorFlow 2.0 and GCP (includes topics like data pipeline optimization, cyclical learning rates, mixed-precision training and so on) at Launchpad India Accelerator Bootcamp (December 12 - 13, 2019). Content available here: http://bit.ly/mlb-code-sayak.
• Spoke at DevLoop on Your first machine learning project, Ganpat University, Gujrat, India (January 04, 2020). Deck: http://bit.ly/dloop20. I have spoken about this topic at multiple occasions. A session recording is available here.
• Spoke at Improving machine learning model on Weights and Biases for better machine learning, Bangalore (February 08, 2020). Deck: http://bit.ly/blr-wb.
• Spoke at Sigma 2020 on Machine Learning: For the Community by the Community, Kolkata (February 12, 2020).
• Spoke at MENA Digital Days 2020 on Building data pipelines with tf.data. Deck here, session video here.
• Spoke for GDG Goa at an online event on Hello, TensorFlow. Deck here, session here.
• Spoke for GDG Pune and WTM Pune on Doing more with TensorFlow Lite, April 26, 2020. A session recording is available here (it was for the Deep Learning Salon hosted by Weights and Biases).
• Spoke for Global AI Hub, Turkey on Gotchas of Transfer Learning for Image Classification, May 01, 2020. A recording of the session is available here.
• Spoke on TensorFlow Hub: Models, Models, and Models for TFUG Hyderabad on May 03, 2020. Deck: http://bit.ly/tf-hub. A recording of the session is available here.
• Participated in an ML fire-side chat hosted by Aniedi to speak to the developers of African regions. Recording is available here (May 30, 2020).
• Spoke at Pie and AI Kolkata on Becoming One with the Data. Deck here & session recording here (May 31, 2020).
• Spoke on Model Optimization 101 for TFUG Thrissur. Deck here (June 07, 2020). A recording on the same topic from a different event is available here. I have also presented this at Google for Startups Accelerator India (GoogleDevsIN tweet). A recording of that session is available here.
• Spoke on A few good stuff in TensorFlow Lite for GDG Berlin (July 16, 2020). Deck is available here and a recording is available here.
• Spoke on GitHub Actions for Machine Learning at Global AI On Tour Mumbai (September 27, 2020). Deck is available here.
• Spoke on The Maker Philosophy with ML APIs at Mindhack Summit (October 12, 2020). Deck is available here.
• Spoke on Adversarial Examples in Deep Learning at DevFest UK & Ireland 2020 (October 17, 2020). Deck is available here.
• Took a workshop on Adversarial Robustness in Deep Learning with Dipanjan Sarkar at Deep Learning DevCon 2020 (October 29, 2020). The materials are available here - bit.ly/adv_learn. We presented this at Kshitij 2021 as well and here’s the recording.
• Spoke on Demystifying Self-Supervised Learning for Visual Recognition at SciPy Japan 2020 (October 30, 2020). Deck is available here - bit.ly/scipy-sp. Session recording is available here.
• Spoke to Santosh on Demystifying ML and AI for beginners at his podcast Tech Talks With Santosh: https://youtu.be/BhLQN-XIO04 (November 07, 2020).
• Spoke on Key Trends of Computer Vision 2021 (June 09, 2021). Deck is available here. A session recording is available here. A blog post summarizing the content (by Benedict Neo) is available here. I have also presented this at Takshak’21, Techfest of ISM Dhanbad.
• Vertex AI for Easier Model Deployments at Google for Startups Accelerator Class 5 (August 28, 2021). Deck is available here. A recording is available here.
• Enabling Possibilities with Open-Source in Machine Learning at DevFest India 2021 (October 24, 2021). My deck is available here. A recording is available here.
• Citizen Scientists Tackling Devastating Floods and Disaster Relief with Semi-supervised Deep Learning at NVIDIA GTC 2021 (November 09, 2021). This is based on our work on using semi-supervision for segmenting flood regions. This work was also presented as a poster at PyTorch Developer Day and the PyTorch team helped us create a beautiful poster for that.
• Improving Dataflow pipelines for text data at scale (with Nilabhra Roy Chowdhury) at Innovators Hive from Google Cloud (March 30, 2022). We also presented this at the Beam Summit 2022. Slide deck is available here. A video presentation is available here.
• Building a Mobile-optimized Image Recognition Model at DevFest Bangalore 2022 (September 18, 2022). Slides are here. A recording is here.
• Fantastic ML Deployments & How to do them with Vertex AI at Cloud Community Days Ahmedabad 2022 (September 24, 2022). Slides are here.
• Better Hardware Provisioning for ML Experiments on GCP at Cloud Next 2022 (October 13, 2022). All the materials are here. A video recording is available here.
• Being a Maker with ML APIs at DevFest Jalandhar 2022 (October 16, 2022). All the materials are here.
• Anatomy of Capstone ML Projects at DevFest Nagpur 2022 (November 5, 2022). Slides are here. Presented this at DevFest Tashkent 2022 as well.
• Improving as an ML Practitioner at DevFest Kolkata 2022 (November 13, 2022). Slides are here. Presented this at DevFest Indore 2022 as well.
• Bringing ML Models to Life with Hugging Face Spaces at DevFest Gandhinagar 2022 (November 21, 2022).
• ML Problems: Formulation and Adoption at Google Developers Startup Bootcamp (University Edition); Gurugram, India (December 06, 2022). Tweet by GoogleDevsIN. Deck is here.
• You Don’t Know TensorFlow at TFUG Kolkata (March 19, 2023). Materials are here. A recording of the talk can be found here.
• Open and Collaborative MLOps, invited lecture at HKUST (March 31, 2023). My slides are here.
• Building DALL-E 2 like Systems in Minutes at NIT Silchar (April 8, 2023). Presented on the same topic at IIT Guwahati (April 22, 2023). Slides are here.
• Democratizing Generative Models with 🧨 diffusers at the NVIDIA-HF meetup (April 29, 2023) (with Suraj Patil). Slides are here. Here’s another version of the presentation that I presented at the DataHack Summit 2023.
• Ship Faster TensorFlow Models with XLA at Google Cloud Community Days, Kolkata (May 7, 2023). Slides are here.
  
• Generating Photorealistic Images using AI with Diffusers in Python at DataCamp (May 16, 2023). Materials are here. A recording of the session is here.
• 🧨 diffusers for research at VAL, Indian Institute of Science (IISc) (June 12, 2023). Slides are available here.
• Appeared on a podcast discussing my ML journey and other related things: Hugging Face’s ML Revolution.
• Making Keras Models go brrr with XLA at Keras Community Day Kolkata, August 27, 2023. Slides are here. I have given the same talk at Keras Community Day Chandigarh too (September 02, 2023).
• Bringing SoTA Diffusion Models to the Masses with 🧨 diffusers, throughout September 2023. Presented this at the following places during my trip to the UK: The Dyson Robotics Lab at Imperial College of London, Amazon London, and the Department of Statistics at the University of Oxford. Slides are here. A recording (Oxford version) is available here.
• Controlling Text-to-Image Diffusion Models, BigMAC ICCV Workshop (October 02, 2023). Slides are here. Recording is here.
• Bringing SoTA Diffusion Models to the Masses with 🧨 diffusers, IBM Research (October 17, 2023). Slides are here. Recording is here.
• People of AI podcast (Google), spoke to Ashley Oldacre and Luiz Gustavo Martins from Google. Episode recording is here.
• End-to-End Pipeline for Segmentation with TFX, GCP, & 🤗 (with Chansung Park), ML Community Summit 2023 (November 23, 2023). Slides are here.
• Software Engineering Daily, spoke to Sean Falconer. Podcast recording is here.
• Staying relevant as an MLE in the age of GenAI, DevFest Kolkata 2023 (December 22, 2023). Slides are here.
• Appeared on the Overpowered podcast with Varun Mayya. Find it here.
• Building a Personal Coding Assistant (with Sourab Mangrulkar), Build with AI, Bangalore (March 02, 2024). Slides are here.
• Appeared on the Humans of Digital podcast by CI&T. Find it here.
• ML Career in 2024, IIT Indore (April 11, 2024). Find it here.

Co-organized by me

• DevFest Kolkata, August 3, 2019.
• TensorFlow All-Around Kolkata, August 31, 2019.
• Let’s Build, January 4, 2020.
• Kolkata Kreate, February 29, 2020.
• TFUG India Summit, September 3 - 6, 2020.
• Generative AI Meet-up in collaboration with NVIDIA, April 29, 2023.
• JAX/Diffusers Sprint, March 29 - May 08, 2023.
• Deploying Generative AI Models in collaboration with Inferless and Sequoia Capital, June 10, 2023.

ML Street Talk

I used to appear on one of the most popular podcasts in machine learning called the ML Street Talk. Below are the episodes where I have made appearances.

• Spoke to Tim Scarfe, Connor Shorten, and Yannic Kilcher.
• Spoke to Mathilde Caron (Research Assistant at Facebook AI), with Ayush Thakur, Tim Scarfe, and Yannic Kilcher.
• Spoke to Sara Hooker (Google Brain), with Tim Scarfe, and Yannic Kilcher.
• Spoke to Sanyam Bhutani (H2O.ai), with Tim Scarfe, Yannic Kilcher, and Alex Stenlake.
• Spoke to Simon Kornblith (Google Brain) with Tim Scarfe and Yannic Kilcher.
• Spoke to Lena Voita (University of Edinburgh and University of Amsterdam) with Tim Scarfe and Yannic Kilcher.
• Spoke to Hadi Salman (MIT) with Tim Scarfe and Yannic Kilcher.
• Spoke to Ishan Misra (Facebook AI Research) with Tim Scarfe and Yannic Kilcher.

Note: If you are interested to invite me as a speaker for your event, please get in touch by dropping an email at spsayakpaul@gmail.com. If you are interested in having me submit a CFP first, that is absolutely fine! Please don’t hesitate to ask that.