[May 2024] Delivered a course of 8-hours on ML, DL, NLP, CV, AI in the Public Sector, and AI in Project Management in association with the Public Sector Network to Canadian Government officials.
[Nov 2023] Delivered a course of 8-hours on ML, DL, NLP, CV, AI in the Public Sector, and AI in Project Management in association with the Public Sector Network to Canadian Government officials.
[Aug 2023] Panelist and a SpeakeratGoogle I/O Extendedby GDG Cloud, Toronto. I got an opportunity to share my thoughts on the past, present, and future of AI, and GenAI to a great audience consisting of student and professionals.
[May 2023] Speaker at Google Developers North America Connect at Miami, USA. Delivered a session on The Intelligent Developer's Toolkit: AI-Powered Tools for Creativity, Efficiency, and more which got incredible response from the participants.
[Apr 2023] As part of the Career Transition series From Software to ML Engineer by GDG Waterloo, Canada, I conducted the session based on Google's ML Crash Course.
[Mar 2023] Application Reviewer at 2023 Deep Learning Indaba conference, Africa
My role as a reviewer was in discovering those talented individuals practicing AI who would most benefit from attending and who will maximize the Indaba’s impact by being force multipliers who are actively involved in their local AI communities.
[May 2021] Speaker at the Google’s yearly conference Google I/O: Meet women GDEs from around the world event. I interacted with the global audience to share my views on the GDE Program and inspired them to become one by resolving their doubts.
[Mar 2021] As part of the conference by TECH(K)NOW Day, London on International Women's Day, I spoke on Technology, ML & Strategy initiations related to COVID by Google.
[Mar 2021] As part of GirlScript foundation's International Women's Day event, I became a part of an insightful Panel Discussion on Women In Tech and how we can help the underrepresented in the challenging world.
Link to the deck: [Nov 2020] Invited by the Women in Engineering (IEEE) and i.fest, DAIICT team to present a session on Getting started with Machine Learning during the tic tech toe hackathon.
[Oct 2020] Invited to speak at the DevFest Adelaide, Australia. Presented my views on Fairness in Machine Learning with TensorFlow.Also,Demonstrated the usefulness of the What-if tool
[Oct 2020] Took a workshop at DevFest United Kingdom & Ireland on Fairness in ML. Covered from the basics of Fairness to explainability via What-if tool by Google followed by live demos of TensorFlow Constrained.
[Oct 2020] Took a session at DevFest Norway and presented evidence of biases in existing ML models, and learning mechanisms at the individual or group level to overcome them and build an equitable, inclusive, and fair predictive system.
[Sept 2020] Invited at the WiDS (Women in Data Science, an initiative by Stanford University), Mysuru conference to speak about Distributed Data & Personalised Prediction.
[Aug 2020] Invited by the Indian Institute of Information Technology Vadodara (IIIT-V) to help the students get over their mental block of starting Machine Learning and AI with fun and frolic exercises.
[Jul 2020] Invited to take an inaugural session of alumni interaction series by Ahmedabad University, India. Session title: Machine Learning 101: kick-starting ML with fun and frolic
[July 2020] Talked about sequence models, their architecture, importance, real-lif applications, and implementation using TF at Pie & AI, a series of deeplearning.ai & DSC NSEC, Kolkata.
[June 2020] Took 1.5 hrs of the webinar in association with GDG & WTM Bhubaneswar, India on Sequences- when the traditional neural network fails. Covered RNN, LSTM, GRU, and Transformers.
[June 2020] Invited in the inaugural event of LeadHers of WAP (We Are Plymouth's). Delivered an introductory session on Deep Learning (DL) with live-coding using TensorFlow.
[Oct 2019] Got selected as a Session Facilitator at MozFest 2019, London, andtook a session on Decentralised and Personalized AI, with Privacy by Design.
[Sept 2018] Speaker at the Machine Learning Crash Courses Study Jam Series arranged by GDG and WTM Ahmedabad, India. Took a 4-hour long hands-on session on DL with TensorFlow.
[Sept 2017] Selected as a Student Facilitator to conduct 15+ hours of the first pilot of Google’s Machine Learning Crash Course in India at Ahmedabad University. Team size: 3