From blogs and episodes with our podcast guests, to in-depth articles about the AI/ML space, your friendly neighborhood developer productivity tool is here to connect! (Updated regularly)
How to start a career in AI: Learn from Metabob’s Benjamin Reeves
Learn more about Benjamin's journey from research/software engineer to Metabob’s Director of AI.
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Scratching the surface: reducing noise from automated code reviews.
When talking to different members of engineering teams through research efforts at work, it has become apparent that code reviews take an awful lot of time from engineers’ daily work hours. This raised a question of why these engineers or engineering teams aren’t using any tools for automating code reviews as there are multiple options available in the market? Little did we know...
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Breaking Down Compiler-related Jargons
Working with Compilers can come with its learning curves. To truly get acclimated and to make sure that you are translating languages accurately and with little uncertainty, we’ve compiled (pun very much intended) a list of must-know vocabulary to get you started on the right foot!
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The Future of Code Development
Coding has become the necessary currency of the new job market. From high budget campaigns with former President Barack Obama encouraging Americans to learn computer science, to Apple’s new collaboration with the Boys & Girls Club of America to launch a new coding program, computer science is being taught earlier and earlier and has now become an essential part of a well-rounded education.
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What is BERTopic ? - Metabob’s AI team is testing another topic modeling technique
A topic model is a type of algorithm that scans a set of documents (known in the field of Natural Language Processing/NLP as a corpus), examines how words and phrases co-occur in them, and automatically “learns” groups or clusters of words that best characterize those documents. These sets of words often appear...
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How to quickly solve bugs in your code by using Metabob
As we all are aware, debugging and maintaining code is a daunting and time consuming task, especially when you are working on a number of different projects. Metabob helps you to identify and fix bugs as quickly as possible.
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The problem with static analysis tools – machine learning to the rescue!
Software maintenance is an expensive activity in the software lifecycle. Last minute change requests push developers to make “band-aid fixes” setting aside good design and implementation principles to deliver code in a short time frame. Continuous software changes that do not always follow software quality requirements create technical debt, i.e., the introduction of quick workarounds in the source code that worsen its maintainability. Technical debt makes it even harder to maintain code, leading to a downward spiral.
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Shift-left software testing - shifting even more left with Metabob
During the current times of software development, it is rarer and rarer for bugs to make it all the way to production. However, this doesn’t mean that organizations are not paying a high price for fixing bugs.
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What are coding sprints?
Coding sprints are one of the best ways to improve software development consistently and at a good pace, without making incredibly big changes all at once. This article is going to answer some questions one may have about coding sprints, how to plan them, and their relevance.
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Developer productivity tools – comparing Jellyfish and Metabob
There are dozens of developer productivity tools on the market looking to ensure productive, effective metrics for dev teams big and small. While the services from current names provide valuable insights for teams, they still lack in some key places that would truly improve teams and how they work. Â
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Nisha Talagala and a lifelong love for education
Nisha’s love of technology has been at the epicenter of her world for as long as she can remember. She was Co-Founder of three StartUps before Pyxed and AI Club, a frequent Forbes contributor, as well as being the owner of 73 patents. Yes, 73 patents.
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Disney-like animation with AI
Needless to say, Yuval was ecstatic that his work was featured on 2-Minute Papers! As a long time viewer of the channel, he mentioned how his work being featured was a total surprise. Yuval praised Károly Zsolnai-Fehér, creator of 2-Minute Papers, for his ability to be so nuanced when discussing complex processes to an overall generalized audience, with such ease and clarity. Once Károly reached out to Yuval asking to do an overview of his work, “the answer was an immediate yes!”
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Mission landing: BobHacks recap!
The Metabob team hosted its first Hackathon, BobHacks, September 25 & 26th, bringing 350 onboard assigned with the age-old task plaguing Developers: make a cool thing! I mean, it’s not quite so simplistic, but our participants did use a public application (given through Metabob’s own API), collecting information about their own/public repositories as well as results for any analyses/information about the codebase.
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Dreams to reality: from Nepal to Silicon Valley
Born during a civil war in Nepal, Sambhab Thapaliya has overcome what life has thrown at him, and done so with a smile. As a young boy, much like all of us, he would think of ways to impress friends, edging out school crush-contenders in the process. He figured, what better way to stand out than Development? At just the age of 13, Sam taught himself programming, starting with creating ERP Software systems for local businesses who gave an ambitious kid some time to chat.
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Tom Taulli and the early days of the Silicon Valley
Get to know Tom; a delightful and knowledgeable tech lover. He is a Forbes Contributor, Startup Advisor, and Author of several books regarding AI Implementation as well as robotic process automation. Starting out in the 80s as an entrepreneur and tech-writer for Forbes print (ultimately turning digital), Tom has chopped it up and got to know several of tech’s largest pioneers throughout his long standing career in the Silicon Valley.
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Episode 11 - How an AI company turns raw data into predictive insights
On this week's episode, Donji and Avi sit down with Tristan Zajonc. Tristan's diversified background in: Statistics, Quantitative Research, Coding, and Economics led him to founding his own company shortly after his PhD program ended at Harvard. From being the CEO of Sense, CTO for Machine Learning at Cloudera, he wound up being bit by the Entrepreneurial bug again, founding Operational AI Layer company Continual. Tristan's breadth of knowledge in the space is incredibly interesting and we look forward to getting him back on the pod in the future!
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Episode 10 - Can Disney-quality animation be made instantly with AI?
Yuval's work caught the eyes of many, eventually being showcased on 2-Minute Papers. The YouTube platform of over 1 million Subscribers shares state-of-the-art AI breakthroughs from Academic research and transforms them into readily accessible content.
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A cosmopolitan journey
Shilpa’s path has taken her from India to France, France to Japan, Japan to Canada and just about everywhere in between. Shilpa was Project Lead for Enterprise Datacenter, Storage NVM and Internet-of-Things Businesses, actively working on optimizing and improving chips. Her results concluded with a driving strategy that won Intel $1B revenue pipeline over 3 years.
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Episode 9 - How she became a 40 under 40 data scientist
On this week's episode, Donji sits down with Sharmistha Chatterjee. Sharmistha shares her advice to Developer's looking to get recognized for their research, her time at Nokia while studying a Master's in Helsinki, and how Blogging can make a big jump for one's future career.
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Episode 8 - Big data & creating a Python-learning platform for junior-devs
On this week's episode, Donji sits down with Rune Thomsen. Rune has had a full career developing, managing and now consulting big data applications for large enterprise companies. Once Coronavirus put everyone inside, Rune figured why not take the extra time to step back, reflect, and go back to his roots. His "Learn Python With Rune" series took off, seeing over 30,000 subscribers to his Udemy page in under a year.
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Episode 7 - How a 12 person team became a $4.5 billion acquisition
On this week's episode, Klay sits down with Ido Sarig. Ido's career in Startup culture has spanned over 3 decades, being one of the core team members that lead Mercury to a $4.5 Bn acquisition by HP in the early 2000's.
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Episode 6 - Can we replace manual research with automation?
On this week's episode, Donji sits down with Brad Hastedt. Brad's career has expanded over 20 years leading: sales, marketing, human resources, and finance operations amongst multiple industries. His first endeavor in Startup culture resulted in a sale of the company, leading him into his second venture with VERESAI.
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Avi Gopal and 100% accuracy - The Metabob podcast
Meet Avi Gopal, CTO of Metabob! Avi’s professional career in technology began in Aerospace Engineering. He then moved to the automation space, area-mapping, eventually leading to his new field of machine learning . . .
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Episode 5 - Can AI be more accessible at an early age?
On this week's episode, Donji sits down with Nisha Talagala. Nisha is an esteemed technology master; after graduating from UC Berkeley , Nisha spent her time  working for Intel, building incredible Startup teams, and now is curating AI Club - empowering kids from elementary, middle, and high school to learn AI and realize their passions through creative applications of their learnings. Nisha has so much to share and we loved sitting down with her to talk about her work!
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Chasing memory spikes and leaks in PythonÂ
After being a developer for so long - Fortran in 1979 followed by Pascal, C, Java, and settling on python in 1997 - I’m no stranger to memory leaks and spikes. I still love hunting down bugs . . .
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Episode 4 - Sam Thapaliya, CEO of ASMI
ASMI is the World's First Automated Solution for In-Video Advertising. Sam shares his incredible journey from seeing a computer in Nepal for the first time at the age of 11, to coming to the United States and pursuing his Entrepreneurial dreams.
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Episode 3 - How to transform an idea into an AI startup
On this week's episode, Donji sits down with Shilpa Sharma. Shilpa is a lifelong tech admirer, worldly businesswoman, and now CEO of Flyte -- a Workflow Automation Platform for Complex, Mission-Critical Data and ML Processes at Scale. From her incredible journey from India to her current home in Canada, to the vital role collaboration plays in small teams, Shilpa shares a breadth of knowledge any Entrepreneur would be lucky to hear. Thank you to Shilpa and look into flyte.io for your next important meeting!
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LDA and the method of topic modeling
Previously, we mentioned the need for Topic Modeling. One common application is an email filter. You train the model by feeding it many emails, each one labeled as “spam” or “urgent” or “work-related” or “promotion” or “social.”  . . .
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Episode 2 - How AI in Silicon Valley went from a concept to leading tech empires
On this week's episode, our host Donji sits down with delightful and ever-so-knowledgable Tom Taulli; AI Author, Developer, and Forbes contributor.
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Episode 1 - Avi and AI
This new, weekly series will take a deep dive into the tech ecosystem, putting real people and explanations behind some of the common household ideas and misconceptions about the industry. This week, we get to know Metabob CTO Avi Gopal! Tune in weekly to catch new episodes and uncover more about the worlds of AI, Startups and all things tech.
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Compiler terminology – an introduction
Working with Compilers can come with its learning curves. To truly get acclimated and to make sure that you are translating languages accurately and with little uncertainty, we’ve compiled (pun very much intended) a list of must-know vocabulary to get you started on the right foot!
