Suggestions
Olalekan Taofeek
Cloud Native Architect • Serverless • AWS Solutions Architect • MLOPs • Microservices & Distributed Systems • Entrepreneurship & Innovation
Olalekan Taofeek is a highly skilled professional in cloud infrastructure, software engineering, and IoT solutions. He is currently working as a Senior Cloud Infrastructure & Platform Engineer, with a focus on data platforms and AI cloud platforms.134
Professional Experience
Taofeek has an extensive background in various tech roles:
- Currently works at Equinix in the London Area, United Kingdom1
- Previously worked at Citi as a Software Engineer, Infrastructure1
- Founder and Software Engineer at TREP LABS since October 20171
- Former IoT & Edge AI Ambassador at Edge Impulse (November 2020 - October 2021)1
- Held software engineering positions at Devna and Dash Life, Inc1
Education and Certifications
Taofeek holds a Bachelor's degree in Physics with Medical Physics and Electronics from the Federal University of Technology Akure.1 He has also completed numerous certifications in areas such as:
- Neural Networks and Deep Learning
- Docker and Kubernetes Mastery
- HashiCorp Certified: Terraform Associate
- Various AI and machine learning courses from platforms like Coursera, Udemy, and Pluralsight1
Achievements and Recognition
Taofeek has received several awards and recognitions:
- UK Global Talent
- Accelerate Cambridge Cohort 32
- Microsoft Imagine Cup Nigeria Final Winner (1st position in 2018, 3rd position in 2017)
- Cisco Global Problem Solver (Top 10)
- MIT Solve finalist1
His recent focus has been on cloud engineering, cloud computing, and cloud-native technologies, as evidenced by his LinkedIn posts.45 Taofeek continues to be active in the tech community, sharing insights and experiences in software engineering, coding, and programming.2
Highlights
I really feel for anyone trying to start their "real-world" tech career in AI. Because many things in the industry do not start or end in the industry with AI.
By far many roles are still an amalgamation of domains.
Nobody is going to hire you as a professional machine learning engineer if you don't understand what good software means and how to design one.
Don't let social media hype distract you from learning the real things you need to make a lot of impact in the real world.
Only God knows how extremely happy I am seeing my Apache Hudi end to end working.
It’s easy to get something working in docker containers on a local machine; Try cloud environments that’s close to production and see all sorts of dramas showing.
From hitting postman to add a record to my microservices persisting the event payload to AWS MSK Kafka.
And hudi continuously stream ingest the data into the data lake(AWS S3) The speed of the end to end is a significant benefits to any real-time system that relies on data freshness to provide real-time business decisions, insights and analytics.
Hudi is more than perfect for your stream processing use cases.
Watch my video below, an intro into my series into the world of streaming ingestion and stream processing.
#dataengineering #cloudengineering #cloudcomputing #softwareengineering #kafka
