A senior tech professional shares practical guidelines and mindset strategies for effectively onboarding into a new mid-to-senior role in the tech industry.
Key warning signs for data scientists and tech professionals to consider before joining a new data team, covering data infrastructure, team roadmap, and role clarity.
A software engineer shares their journey from freelancing to landing a full-time role without a formal interview process.
A web developer shares insights on the time spent staying current with web technologies, based on a Twitter survey and personal experience.
A podcast interview discussing common ML mistakes, quantifying impact, and career growth for machine learning engineers.
A developer reflects on their first year of self-employment, sharing insights on productivity, motivation, and the transition from hobby coding to full-time work.
A developer reflects on three years of successful freelancing after leaving traditional tech companies, sharing career insights and advice.
An interview with data scientist Eugene Yan discussing his career path from psychology to Amazon, favorite ML projects, and advice for aspiring data scientists.
An interview with iOS developer Marius Constantinescu about his journey into programming, from early exposure in Romania to specializing in iOS development.
A developer reflects on the challenge of building simple, small-scale projects after years of focusing on large-scale, complex system architecture.
Advice for experienced data scientists on optimizing their resumes to attract recruiter attention, covering side projects, Kaggle, and academic work.
An interview with lead data scientist Alexey Grigorev on his career transition from software engineering to data science, his advice, and his work at OLX.
A developer shares practical strategies for making a living from free and open-source software, covering employment and monetizing personal projects.
Advice on avoiding or handling data science job mismatches by scrutinizing job descriptions, asking key interview questions, and researching team culture.
Explains the differences between Applied Scientist, Research Scientist, and ML Engineer roles in data science and machine learning.
An interview with Chip Huyen about her journey from a small village to Stanford and a career in ML, her writing, and thoughts on machine learning in production.
Explores the intrinsic motivations for building a data science portfolio beyond just getting a job, covering learning, helping others, and enjoyment.
A podcast interview with data scientist Eugene Yan discussing his career transition, data science leadership, and experiences at Lazada.
A senior data scientist offers advice on handling imposter syndrome and meeting higher expectations after a promotion to a senior role.
Blog author returns after technical issues, now VP at AWS, and plans regular tech content updates.
