By AI/ML Data Talks
The podcast currently has 20 episodes available.
Jason Mayes is a Developer Advocate/Web Engineer/Creative Technologist @ Google, aiming to inspire, innovate, and simplify. Jason’s background is based in Computer Science. He discovered that he fits into a rare breed of what he likes to call as “hybrid developers” while others may call this a "design technologist" - in short, Jason equally enjoys being both creative + technical. In a nutshell, Web/mobile technologies allow Jason to combine both sides of his personality.
Featuring
Jason Mayes - LinkedIn
Jason Mayes - Twitter/X
Notes and Links
Tensorflow.js - ML library in JavaScript
Made with tensorflow.js project highlights
MediaPipe Studio
Visual blocks for ML
Project IDX
Leave a voice message
https://anchor.fm/aimldatatalks/message
Sachin Kumar is the founding member and CTO at TupeloLife which is a RPM and Virtual Care Management company that has been in the connected health space since 2012. Besides that, Sachin is also a Google Developer Expert (GDE) in Machine Learning, Google for Startups Accelerator Mentor and Head of GDG (Google Developers Group) Doha as well as a YouTuber focusing on tech related contents. In this episode, Sachin shared about his career path and current works related to healthcare.
Featuring
Sachin Kumar - LinkedIn
Notes and Links
TupeloLife
Google Developer Experts
Dialogflow
What is a Chatbot?
Large Language Model - PaLM 2
Leave a voice message
https://anchor.fm/aimldatatalks/message
Dr. Vinod Ramachandran is Head of Climate Risk Modelling & Credit Risk Innovation at CIMB. He also serves as Principal Data Scientist for the group's risk management function, where he supports the wider Regional Advanced Risk Modelling team. Prior to joining CIMB Vinod was an academic working with local SMEs as a consulting data scientist. In this episode, Vinod shared about his career path and current works related to Climate Risk Modelling and Credit Risk.
Featuring
Dr. Vinod Ramachandran - LinkedIn
Notes and Links
Climate risk modeling
Credit risk modelling
Share of unbanked population worldwide 2017, by country
Leave a voice message
https://anchor.fm/aimldatatalks/message
Yudhiesh Ravindranath is currently working as MLOps Engineer at MoneyLion where he focuses on developing and implementing end-to-end machine learning (ML) systems. Besides that he also works closely with data scientists and software engineers to ensure that ML models are integrated into production systems and are performing optimally. In this episode, Yudhiesh shared about his current works, side projects and what it takes to be a MLOps Engineer.
Featuring
Yudhiesh Ravindranath - LinkedIn
Yudhiesh Ravindranath - GitHub
Yudhiesh Ravindranath - Medium
Notes and Links
Asia Pacific University of Technology & Innovation (APU)
Omdena
MoneyLion
Continuous integration/continuous delivery (CI/CD)
Data Pipelines with Apache Airflow
Effective Data Science Infrastructure
MetaFlow
Arize: ML Observability Platform
Continuous Testing of Machine Learning Projects (GitHub)
Leave a voice message
https://anchor.fm/aimldatatalks/message
Hafidz Zulkifli is currently leading the Centre of Data Experience’s (CDX) data team at Bank Islam where he defined the team charter, responsibilities and rituals. In terms of responsibilities, Hafidz leads the team from both managerial (ie. stakeholder, task, resource management) and technical perspective (ie. data modelling, systems architecture, tooling, code etc). Besides Data Science, Hafidz is a blogger where he blogs about his passionate side projects in the areas related to Natural Language Processing (NLP), AI and Data Science. In this episode, Hafidz shared about his current works, side projects and what it takes to lead a data science team.
Featuring
Notes and Links
Leave a voice message
https://anchor.fm/aimldatatalks/message
Dickson Neoh is currently working as Developer Advocate at ZenML, a startup that focuses on providing extensible, open-source MLOps framework to create production-ready machine learning pipelines. Prior to joining ZenML, Dickson was working as an academician at UNITEN, a private university in Malaysia. Besides doing research, Dickson is passionate in areas such as Computer Vision, Artificial Intelligence and Machine Learning. In this episode, Dickson shared about his current works in MLOps and how the MLOps framework is being used to alleviate problems related to Machine Learning Model deployment.
Featuring
Notes and Links
Leave a voice message
https://anchor.fm/aimldatatalks/message
Erhan Azrai is the co-founder and CEO of Kotak Sakti, a data analytics firm based in Kuala Lumpur, Malaysia. Kotak Sakti is a newly established boutique data analytics startup firm that provides analytic solutions to public and public sectors. In this episode, Erhan shared his experience quitting corporate to begin his journey as an entrepreneur in a data analytics firm. Besides that, he also shared lessons learned while navigating rough time for the past 2 years under Covid-19 pandemic.
Featuring
Notes and Links
Leave a voice message
https://anchor.fm/aimldatatalks/message
Dr. Fairoza Amira Binti Hamzah is currently working as Senior AI Engineer at Torum Technology Sdn Bhd where she applies AI and ML into building recommendation engines for crypto social media platforms. Being a Ph.D graduate of Nagaoka University of Technology, Dr. Fairoza managed to turn her expertise from image compression to being an applied AI engineer and worked in various companies. Besides her day job, she also contributes her time and effort as Lead Researcher to develop CoronaTracker, a global response for tracking and providing reliable and legitimate COVID-19 information and insights for the public.
Featuring
Notes and Links
Hafeez Nazri is currently working as Head of Data Services at PwC. Besides his day job, he also contributes his time and effort together with a group of Data Scientists, Data Engineers, Researchers, Full-stack developers, Product Manager, UI/UX engineers from across the globe to develop CoronaTracker, a global respond for tracking and provide reliable and legitimate COVID-19 information and insights for public. With this tracker, it is envisioned to be a global framework, where it will be a hub for any Data Scientists & Data Engineers to build their outbreak model and prediction, apart from disseminate valid information.
Featuring
Notes and Links
Prof Dr Kamarul Imran Musa (KIM) holds a PhD (Statistics and Epidemiology) from Lancaster University. Kim is currently working as Professor (Statistics and Epidemiology) at Universiti Sains Malaysia (USM) at Kubang Kerian, Kelantan, Malaysia. KIM is a Medical and Statistical Epidemiologist and Data Science Enthusiast. In this episode, we discussed the role of an epidemiologist and the usage of data science in the field of medical and public health.
Featuring
Notes and Links
Leave a voice message
https://anchor.fm/aimldatatalks/message
The podcast currently has 20 episodes available.