In this episode, host Ryan Atkinson welcomes Deane Barker, Global Director of Content Management at Optimizely and tech veteran, to discuss the ever-evolving world of content creation. From Barker's unexpected pivot from law to tech in the early days of the internet to his current role shaping the future of content management, this episode delves into the value of authenticity, the importance of an insatiable curiosity, and the pressing need for a personal touch in our AI-driven future. Listen as we explore the nuances of conveying the right message through the right medium, the benefits of a "publish now, perfect later" philosophy, and the art of navigating professional relationships and impostor syndrome in the tech industry. Join us for a conversation that bridges the gap between passion and practicality, and leaves aspiring creators with invaluable lessons for crafting their digital legacy.

In this episode of TechGuide, host Ryan Atkinson sits down with senior staff software engineer Mike Bernico from Google to discuss his journey into computer science, early experiences with technology, and the evolution of data science. Mike shares insights into his role at Google, the importance of technical leadership, and offers valuable tips for standing out in a large organization like Google. Listeners can expect to hear about the significance of communication skills, resilience in the face of change, and the impact of technology on business objectives.

00:00 Early programming with cassette tapes and magazines.

05:12 Introduction to Hadoop and its practical application.

06:59 Data science use in actuaries and statistics.

10:37 Jeff taught me to run data science as a business.

15:26 Opportunity for personal growth in flexible organization.

19:57 Focusing on quality, prototyping, and staying current.

21:45 Balancing recursion against readability in coding dilemma.

25:30 Appreciate tips for persuasion and simple communication.

In this engaging episode of TechGuide, host Ryan Atkinson welcomes machine learning enthusiast Aayush to share her journey into the tech world. Starting with her boyhood inspiration from her scientist father, Akankshya takes us through her evolution from a computer science student to a machine learning professional, delving into projects that not only advanced her career but also helped Indian farmers with innovative tech solutions. Discover how Aayush's standout projects, including an influential paper, propelled her into the prestigious halls of Carnegie Mellon University and led to a successful role at Samsung that further shaped her expertise. Learn about the essential coursework, the significance of foundational concepts applied at Meta, and how she's currently training models for autonomous driving. Akankshya's candid advice on research papers, networking, and preparing for a career in machine learning is invaluable for both novices and seasoned tech enthusiasts. Don't miss her insights on the value of education, strategic career choices, and the exciting world of tech innovation.

Time stamps:

00:00 Father's scientific passion drove interest in software.

05:30 Early career focused on computer vision, machine learning.

07:10 Leading project at Samsung, India, and universities.

10:05 MIT researched image memorability, consider CMU conferences.

13:05 Undecided between PhD and professional program choice.

17:38 Peer support and networking crucial for opportunities.

21:59 CMU career fairs led to job opportunities.

23:04 Apply, network, and use referrals for success.

27:17 Understanding geometry and 3D rendering basics.

30:20 Network, research, gain experience, focus on projects.

Join host Ryan Atkinson as he chats with Dan Long, former Twitch partner-turned-ministry founder, on a transformative journey from gaming to faith on TechGuide. Discover the intersection of creative collaboration and personal growth as Dan delves into his career shift, the art of innovative ad creation, and the impact of spirituality on his life and work. Learn how a cohesive team can lead to success, why adaptability is key for content creators, and how true fulfillment triumphs over viewer counts. This episode is a must-listen for anyone navigating the evolving landscape of content marketing and seeking inspiration from a story of profound change.

Check out the full episode here: https://techguide.org/podcast/dan-long/

Host Ryan Atkinson welcomes Elsy Meis, a UX design maven with a rich background spanning ed tech, AI, marketing, and hospitality. Elsy shares her insights on starting out in the UX field, the critical role of user research, and the importance of strategy and storytelling in creating immersive user experiences. From redesigning websites for practice to building personal brands, Elsy's journey from the University of Colorado's Atlas Institute to impactful roles in the industry is a testament to her commitment to continuous learning. Discover how even a seemingly simple task such as ordering cologne can unravel the complex web of user experience. Elsy’s real-world examples and engaging discussion illuminate the multifaceted nature of a UX career. Ready to dive into the intersection of psychology, design, and technology? Join Ryan and Elsy for a thought-provoking session, and learn how to craft digital stories that resonate with users and elevate brand perception.

00:00 Undecided freshman at CU explores engineering options.

05:34 Worked on AI teaming, UX research, marketing.

09:10 Early UX project involved eBay website redesign.

12:32 Research is crucial for diverse UX design.

15:15 Interest drives crossover from computer science to design.

17:13 Diverse experiences lead to broad skill set.

20:52 Personal brand essential for showcasing design style.

23:07 Challenges finding job alignment, aesthetic concern.

27:43 Creating platform to sell hobbies, promote community.

Join host Ryan Atkinson on TechGuide as he dives deep into the world of machine learning with Prabhat Agarwal, a distinguished senior machine learning engineer at Pinterest. In this insightful episode, Prabhat shares his journey from excelling in undergrad to landing a spot at Stanford for his master's, delves into crafting a winning application, and reveals the transition to tackling real-world challenges in spam detection at Pinterest. Discover invaluable lessons for newcomers to machine learning, the pivotal role of AI in healthcare, and the collaborative culture that fuels innovation. Tune in to this rich conversation that navigates the ever-evolving landscape of technology and the human ingenuity driving it forward.

Check out all the details here: https://techguide.org/podcast/prabhat-agarwal/

Time Stamps:

00:00 Stanford CS program: broad admissions, diverse profiles.

03:24 Strong GPA, research projects, and professional SOP.

08:47 Coming from India, cultural and academic differences.

10:41 Seek help, focus on learning, implement knowledge.

15:19 Active, non-spam users behave similarly on platform.

17:39 Effective communication, teamwork, documentation, research, and analysis.

20:53 Health excitement due to advanced artificial intelligence.

26:27 Prioritize data cleaning and understanding model restrictions.

27:25 In-depth knowledge key to successful machine learning.

In this episode, Saurav Dhakad, a machine learning engineer, shares his inspiring journey from India to the United States, and his experiences working in the tech industry. Saurav discusses his unexpected path to Columbia University, obtaining an internship at Unity Technologies, and his transition to working at Genies. He delves into the challenges of 3D machine learning, the importance of wearing multiple hats in a startup environment, and provides valuable advice for aspiring individuals looking to break into the field of machine learning. Tune in as Saurav provides insightful tips and shares his expertise in this engaging episode of TechGuide.

Time Stamps:

00:00 Discovering possibility of studying in the states.

04:55 Indian universities lag in machine learning education.

09:16 Unpaid internships and research added to resume.

10:43 Independence in project work, diverse responsibilities.

14:06 Valuable career experience in diverse roles, sales focus.

16:54 Unity research team had no time constraints. Genie's rapid R&D focuses on quick problem-solving.

20:15 Consult colleagues, search online, create working solution.

24:17 Utilize resources, find mentor, explore ML fundamentals.

Host Ryan Atkinson sits down with Jason Katz, a senior machine learning engineer at LinkedIn and former D1 athlete, to discuss the intersection of technology, productivity, and athletics. They look into Jason's journey from athletics to tech, his experiences with data science and machine learning, and how he applies the discipline from his athletic background to his current role. Katz shares valuable tips on time management, project execution, and the importance of simplicity in data visualization, as well as practical advice for integrating technology into daily routines to optimize success and efficiency. Whether you're a tech enthusiast, aspiring data scientist, or looking to enhance your productivity skills, this episode serves as a treasure trove of experiences and insights from the competitive worlds of sports and tech. Tune in to learn how Jason's story can inspire your own path to excellence.

00:00 Consistency, dedication, and mindset key in sports.

04:22 College demands time management and adaptability.

07:24 Dedicated student gains internship through initiative.

12:36 Big data's role in machine learning models.

14:05 Differences between data science and machine learning.

19:45 Effective time management using calendars and reminders.

22:00 Use platform for on-the-go task management.

25:27 Optimize life with small sustainable changes.

27:17 Efficient workflows and time-saving text replacements.

Embark on a fascinating exploration of Aayush Mudgal's journey in the realm of machine learning in this engaging podcast episode. From his early days in India to his current role as a senior software engineer at Pinterest, Aayush provides a unique perspective on the evolution of machine learning. Gain insights into his experiences at Netflix, where he contributed to setting up the machine learning pipeline and developed cutting-edge object detection techniques, showcasing the dynamic landscape of this rapidly advancing field.

Aayush shares valuable advice for newcomers, emphasizing the combination of software engineering skills and machine learning fundamentals. Explore the influence of transformative technologies like ChatGPT on diverse industries and discover Aayush's passion for the potential impact of machine learning in healthcare.

Check out more details here: https://techguide.org/podcast/aayush-mudgal/

Time Stamps:

00:00 - Introduction

02:18 - Getting a job in Netflix

06:20 - Task at Netflix - Object Detection

07:11 - Getting Started in Machine Learning

13:37 - Influence of ChatGPT

16:59 - Exciting Areas in Machine Learning

18:43 - Democratization of Machine Learning Tools

21:29 - Success in Machine Learning

In this episode of TechGuide, we sit down with Jian Wang, a software engineer at WeWork, to discuss his journey from China to the United States and the choices he made to pursue a career in technology. Jian shares insights into the differences between working in the banking field in China and the tech industry in the US, as well as his experiences in obtaining a master's degree at the Stevens Institute of Technology. We dive into the challenges of breaking into the tech industry, including the rigorous interview process and the importance of technical and interpersonal skills. Jian also highlights his recent venture into prompt engineering, shedding light on the evolving landscape of generative AI. Join us as Jian shares his inspiring story and valuable advice for those looking to carve a path in the tech world.

Time Stamps:

00:00 Summary: Sharing personal experience as a software engineer.

03:17 Choose impactful work with global reach or stability.

07:53 Similar campuses, varied course structure, global enjoyment.

10:33 Tech interviews require multiple rounds, various skills.

14:29 Leadership and communication skills are crucial.

19:19 Generative AI's recent performance captivates tech world.

21:53 Research on prompt engineering for language models.

24:23 ChatGBT has potential for growth and development.