Joma Tech

I talk about life in Silicon Valley and at big tech companies. Follow me on: Instagram: http://instagram.com/jomakaze Twitter: https://twitter.com/jomakaze Business inquiries: [email protected] Facebook: Joma Tech Instagram: jomakaze

Technology 30 summaries
Mar 23 - Mar 29, 2026
12 videos
"Stanford is the easiest to get into with low grades" (ft. Arpi Park, Elliot Choy) thumbnail

"Stanford is the easiest to get into with low grades" (ft. Arpi Park, Elliot Choy)

In this interview-style conversation, the hosts discuss their college journeys, including why Stanford became a focal choice and how they approached admissions with varied grades, test scores, and essays. They explore what selling points helped them gain admission, the impact of extracurriculars and narrative in applications, and how college experiences shaped their career goals in entrepreneurship, tech, and content creation on YouTube.

00:01:08 read 00:34:33 video 11 chapters
coding is hard... thumbnail

coding is hard...

The speaker explains why coding interviews feel like IQ tests, shares reflections after quitting a data science job, and interleaves ads and personal anecdotes about motivation, routines, and staying persistent through the interview grind.

00:00:43 read 00:08:27 video 7 chapters
Why he left his job at Google SWE $100k+ (ft. CS Dojo) thumbnail

Why he left his job at Google SWE $100k+ (ft. CS Dojo)

The speaker explains why he left Google to pursue YouTube full-time, weighing the appeal of building a scalable educational channel (CS Dojo) against the stability of traditional employment. He discusses early monetization challenges, the MVP-like growth of his channel, and how his revenue now comes from a mix of YouTube ad revenue, courses, affiliations, and sponsorships, with a long-term emphasis on stability and continued content creation.

00:00:51 read 00:12:03 video 5 chapters
The Truth About Programming thumbnail

The Truth About Programming

The video faciliates a candid view of the challenges in programming, emphasizing resilience and the need to push through self-doubt, then introduces IBM Call for Code as a global competition that enables developers to create impactful disaster response solutions.

00:00:47 read 00:05:01 video 9 chapters
Silicon Valley Apartment Tour: $4600/Month (ft. Elliot Choy x Arpi Park) thumbnail

Silicon Valley Apartment Tour: $4600/Month (ft. Elliot Choy x Arpi Park)

The video whirlwind tours a high-tech, luxury living space, showcasing features like a personal elevator, gym, bikes, and a smart living setup, while the hosts riff on wealth, branding, and the creator lifestyle. Intermittent chatter covers YouTube strategy, CS education, gear obsessions, and a Skillshare sponsorship with a promo offer, along with reflections on turning passion into a career.

00:01:08 read 00:17:50 video 6 chapters
He Got A $277K Google Offer by Lying! thumbnail

He Got A $277K Google Offer by Lying!

The video opens with an apology for illness and a note that resume/link resources are now fixed, followed by a montage of tech-industry stories. It covers a viral Blind post about a Google offer and the techniques used in interview prep, warns against unethical behavior like lying, discusses company culture and layoff fears across major firms, comments on sponsored content and creator ethics, and ends with commentary on celebrity drama (Jake Paul, Cody Ko, and Constance Wu) and how public friction affects work dynamics.

00:01:04 read 00:11:06 video 6 chapters
Top 3 Programming Languages to Learn in 2019 thumbnail

Top 3 Programming Languages to Learn in 2019

The video argues that beginner programmers should choose one of three goals when learning a language and then pick the top languages accordingly. It covers practical guidance for big-tech interviews (with emphasis on Python, Java, and C++), explains how to approach learning (focus on data structures, algorithms, and building a portfolio), and discusses how web/app development contexts influence language choice, also noting the sponsor.

00:00:48 read 00:16:28 video 4 chapters
i finally got a software engineering job thumbnail

i finally got a software engineering job

The video chronicles the speaker finally landing a software engineering job, detailing the transition from data scientist, the intense preparation and interview journey, and the gratitude and reflections that followed. It covers the process, strategies, challenges, and lessons learned along the way.

00:00:49 read 00:11:44 video 7 chapters
Interview with a Competitive Programmer thumbnail

Interview with a Competitive Programmer

The conversation explores competitive programming as a mind sport, covering how contests work (qualifications, scoring, time limits), the balance between speed and correctness, and how data and testing affect results. It also delves into the relationship between competitive programming and software engineering careers, the lifestyle and education around CP, and the speaker’s experience teaching, streaming, and planning for the future.

00:01:08 read 00:25:13 video 9 chapters
If Programming Was An Anime 2 thumbnail

If Programming Was An Anime 2

A hopeful software engineer recalls the grind to land a dream job, walks through a coding interview including recursive and iterative tree traversals, and ends with personal reflections and a promotion for educational content.

00:00:46 read 00:06:04 video 8 chapters
All My Job Offers In Tech thumbnail

All My Job Offers In Tech

The video chronicles the creator's tech internship journey across multiple co-ops, offers, and rejections, alongside personal updates about a fundraiser, a roommate, and sponsorships. It blends career lessons with anecdotes and a tip on reducing plastic waste through reusable bottles.

00:00:43 read 00:16:52 video 9 chapters
Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer thumbnail

Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer

The conversation traces Dynasty’s evolution from an initial real estate securitization idea to a pivot into AI-powered leasing (Lisa) and a sale of the business to appFolio. It covers product development, ML system design, and the realities of building in a startup—emphasizing pragmatic engineering, market validation, and avoiding overemphasis on cutting-edge research. The speakers also discuss hiring, the importance of integrating ML into existing products, and lessons about applying ML effectively in real-world business contexts.

00:01:18 read 00:29:19 video 6 chapters

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