Haja Maideen

AGI (Artificial General Intelligence) Team: - AGI infrastructure storage optimization, and building scalable training clusters. - Focused on improving data storage and computational resource optimization/improvements for AI research. - Proudly part of core ML infra team which helps Nova class of models development [ML Infra]. AWS AI (SageMaker Team): - Development of SageMaker core compute platform - Delivering features for SageMaker studio - Collaborating with enterprise customers on platform adoption - Developing a unified compute runtime across various SageMaker products - Expanding SageMaker platform for various compute architectures such as Trainium, Inferentia, NVidia GPUs. - Improving product reliability and performance, such as availability from 92.95% to 99.999% and reduced latency from around 4 minutes to about 5 seconds for AI/ML products like SageMaker Studio. Amazon.com (Retail Team): - Worked on machine learning initiatives for product data content quality, including: - Developing ML algorithms to improve product data quality - Creating multiple machine learning models and improved Amazon retail website product data quality from 63% to 95%

One of the first few engineers hired by Intel to bootstrap software dev center in Bangalore. Joined as junior engineer and spent the next 15 years at this awesome company at various levels. Lead the team to automate Intel eCommerce business processes. We standardized business communication protocols for Intel and its trading partners and implemented the first external facing business process management software for Intel. Briefly spent time managing windows display graphics driver team for Intel's Visual and Parallel Computing group. My team was responsible for graphics display drivers for Intel’s GPU. I proudly drove and guided implementation of driver/firmware/control panel apps for Intel's Haswell, Baytrail, Broadwell platforms.