Suggestions
Akram Sheriff
Software Technical Leader Engineering | Innovator | Technologist | Software Engineering | Stanford GSB | Advisory Board Member - AI/ML DevNetwork
Professional Background
Akram Sheriff is a highly accomplished software engineering professional recognized for his deep expertise in wireless networking, IoT (Internet of Things), enterprise networking, AI/ML (artificial intelligence/machine learning), deep learning, and cloud-native SaaS platforms. With a strong passion for technology and innovation, Akram has dedicated his career to developing integrated software solutions that address critical business challenges. His professional journey showcases a robust blend of technical proficiency and strategic thinking, especially in creating IoT data lakes, building data-driven products, and executing AWS cloud-based software solutions.
In his previous role as a Senior Technical Leader in Software Engineering at Cisco, Akram spearheaded various initiatives, optimizing product development and enhancing overall service delivery. He also contributed significantly during his time as a member of the technical staff in R&D at Aruba, a Hewlett Packard Enterprise company, where he was pivotal in driving innovation and performance improvement in wireless technologies. Akram's early experiences as a TAC Engineer at Cisco Systems and as a software engineer at Robert Bosch Engineering and Business Solutions Ltd. laid the groundwork for his expertise in product ownership, architecture, and technology strategy.
Education and Achievements
Akram's educational background is as impressive as his professional achievements. He completed a Master’s degree in Software Engineering and Technology Management at the University of Waterloo, where he honed his skills in software development and strategic management. Continuing his pursuit of knowledge, Akram participated in various prestigious programs, earning a PG Certificate in Innovation and Entrepreneurship from Stanford University's Graduate School of Business. His project focused on developing an AI/ML-based IoT edge computing product, showcasing his capability to merge technology with business strategy effectively.
Moreover, Akram has pursued specialized training in the IoT space, attending the MIT Professional Digital Program—IoT Roadmap to Connected World, gaining insights from thought leaders in this rapidly evolving field. His academic experiences include a rigorous Machine Learning CS program at Stanford University, where he explored cutting-edge techniques in AI research. Akram’s foundational work in electronics and computer science was cultivated at Amrita School of Engineering and a dedicated early education at Stanes Anglo Indian Convent, focusing on subjects that would ultimately feed into his passion for software engineering and technology.
Notable Achievements
- Pioneered the development of an advanced IoT data lake in AWS cloud, influencing the strategy behind data-driven software products.
- Successfully designed AWS Cloud AI/ML architecture for a variety of products, demonstrating his ability to bridge complex technical frameworks with strategic business needs.
- Excelled in building end-to-end IoT AI/ML software that revolutionized data engineering processes, making substantial impacts on operational efficiency.
- Acted as a product evangelist, fostering engagement within the technology community and emphasizing the importance of strategic innovation in addressing client requirements.
- Earned multiple accolades for his contributions at Cisco and Aruba, recognized as an industry leader capable of melding technical expertise with business acumen and strategic foresight.