149: Workflow Engines with Sanjay Siddhanti

149: Workflow Engines with Sanjay Siddhanti

At scale, anything we build is going to involve people. Many of us have personal schedules and to-do lists, but how can we scale that to hundreds or even thousands of people? When you file a help ticket at a massive company like Google or Facebook, ever wonder how that ticket is processed? Sanjay Siddhanti, Akasa’s Director of Engineering, is no slouch when it comes to navigating massive workflow engines – and in today’s episode, he shares his experiences in bioinformatics, workflows, and more with us.


00:00:39 Workflow engine definitions


00:01:40 Introductions

00:02:24 Sanjay’s 8th grade programming experience

00:05:28 Bioinformatics

00:10:29 The academics-vs-industry dilemma

00:16:52 Small company challenges

00:18:18 Correctly identifying when to scale

00:24:04 The solution Akasa provides

00:31:38 Workflow engines in detail

00:36:02 ETL frameworks

00:45:06 The intent of integration construction

00:47:13 Delivering a platform vs delivering a solution

00:50:04 Working within US medico-legal frameworks

00:53:28 Inadvertent uses of API calls

00:55:47 Working in Akasa

00:57:09 Interning in Akasa

00:58:35 Farewells


Resources mentioned in this episode:


Sanjay:

Akasa:


References:


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176: MLOps at SwampUp

176: MLOps at SwampUp

James Morse: Software Engineer at CiscoSystem Administrator to DevOpsDifference between DevOps and MLOpsGetting Started with DevOpsLuke Marsden: CEO of Helix MLHow to start a business at 15 years oldBTRFS vs ZFSMLOps: the intersection of software, DevOps and AIFine-tuning AI on the CloudSome advice for folks interested in ML OpsYuval Fernbach: CTO MLOps & JFrogStarting QwakGoing from a jupyter notebook to productionML Supply ChainGetting started in Machine LearningStephen Chin: VP of DevRel at Neo4JDeveloper Relations: The JobWhat is a Large Language Model?Knowledge graphs and the Linkage ModelHow to Use Graph databases in EnterpriseHow to get into ML Ops ★ Support this podcast on Patreon ★

24 Syys 20241h 58min

175: Resume Writing

175: Resume Writing

175: Resume WritingIntro topic:  DSLR Photography vs Camera PhoneNews/Links:Free Internet while flying by abusing edits to your profile namehttps://robertheaton.com/pyskywifi/Making Animated Characters with AI Arthttps://www.youtube.com/watch?v=zSN76gb_Z28On 10x Engineershttps://stackoverflow.blog/2024/06/19/the-real-10x-developer-makes-their-whole-team-better/The Beauty and Challenges of AI-Generated Artistic Gymnasticshttps://www.youtube.com/watch?v=YwJIYj3hPAUBook of the ShowPatrick: The Three Body Problem by Cixin Liuhttps://amzn.to/3xNEoRBJason: The Checklist Manifestohttps://amzn.to/3W2JjpMPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Super Mario Bros. Wonder (Nintendo Switch)https://amzn.to/3S9VJLfJason: Amazon Qhttps://marketplace.visualstudio.com/items?itemName=AmazonWebServices.amazon-q-vscodeTopic: Resume Writing (Courtesy of Matthew C.)Why have a resume?Many jobs require it to get into the considerationToday many are screened for keywords automaticallyLog for future youWhat is a resume?One-page descriptionKey accomplishments & experiencesComparison to CVReferencesHow to write a good resume?Do’sInclude your github if it has good contributionsBe specific (dates, locations, skills)Isolate your specific contributionsBe accurate/honestBe conciseBe ready to discuss any point you have on the resumeList hobbies/activities/extracurricularsDon’tsHave mistakes (especially dates)Use images (most companies use text extraction)Use it as a design portfolioPut social qualities (e.gs. hard-working, motivated, friendly)Use fancy templates/toolsResourcesManager Tools: How to scan resumes https://www.manager-tools.com/2016/05/how-scan-resume-part-1 Google docsLatex/Lyx for CVsHow to think about your career and how it impacts your future resume writing (career planning)Technologies and architectures more than specifics of project detailsHow various choices may age over time ★ Support this podcast on Patreon ★

16 Elo 20241h 40min

174: Devops

174: Devops

Intro topic:  Social Media Auto Responder LLMNews/Links:Amazon releases Amazon Qhttps://press.aboutamazon.com/2024/4/aws-announces-general-availability-of-amazon-q-the-most-capable-generative-ai-powered-assistant-for-accelerating-software-development-and-leveraging-companies-internal-dataCheap RiscV “Super Cluster” from BitluniDIY 256-Core RISC-V super computerhttps://www.youtube.com/watch?v=-4d3PgEXhdYCH32V203Phi 3 Vision Releasedhttps://azure.microsoft.com/en-us/blog/new-models-added-to-the-phi-3-family-available-on-microsoft-azure/OllamaChatGPT 4ohttps://openai.com/index/hello-gpt-4o/Book of the ShowPatrick: MyFirstMillion Podcasthttps://www.mfmpod.com/Jason: A Path Towards Autonomous Machine Intelligencehttps://openreview.net/pdf?id=BZ5a1r-kVsfPatreon https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Dave the Diverhttps://store.steampowered.com/app/1868140/DAVE_THE_DIVER/Jason: Turing Completehttps://store.steampowered.com/app/1444480/Turing_Complete/ Topic: DevOpsWhat is DevOpsDevOps vs SREWhy DevOps is importantEngineering time is expensiveOutages can hurt company metrics & reputationBuild & Testing InfrastructureBazel & Build/Test IdempotencyBuild/Test FarmsBuildBarnGithub ActionsJenkinsInfrastructure as codeTerraformBlue Green DeploymentContinuous Everything!Continuous IntegrationContinuous DeploymentHow to Measure DevOpsBuild TimesRelease cadenceBug tracking / round trip timesEngineer SurveysTime spent doing what you enjoyDevOps Horror Stories ★ Support this podcast on Patreon ★

10 Kesä 20241h 25min

173: Mocking and Unit Tests

173: Mocking and Unit Tests

173: Mocking and Unit TestsIntro topic:  HeadphonesNews/Links:Texas A&M University Physics Festivalhttps://physicsfestival.tamu.edu/Rust vs Cpp at GoogleLars Bergstrom (Google Director of Engineering): Rust teams at Google are as productive as the ones using Go and 2x those using Cpphttps://youtu.be/6mZRWFQRvmw?t=27012Is Cosine Similarity Really About Similarityhttps://arxiv.org/abs/2403.05440Xz utils supply chain attackAndres Freund at Microsofthttps://arstechnica.com/security/2024/04/what-we-know-about-the-xz-utils-backdoor-that-almost-infected-the-world/Book of the ShowPatrick:80/20 Running by Matt Fitzgeraldhttps://amzn.to/3xyEKLoJason: A Movie Making Nerdhttps://amzn.to/49ycDJjPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Shapez Android: https://play.google.com/store/apps/details?id=com.playdigious.shapez&hl=en_US&gl=USShapez iOS: https://apps.apple.com/us/app/shapez-factory-game/id6450830779Jason: Dwarf Fortresshttps://store.steampowered.com/app/975370/Dwarf_Fortress/Topic: Mocking and Unit TestsWhat are Unit TestsBalance between utility, maintenance, and coverageUnit Test: testing small functionsRegression Test: Testing larger functionsSystem Test: End-to-end testing of programsWhat are mocks & fakesWhen to use mock vs. fakeMocking libraries in various languagesPython: https://docs.python.org/3/library/unittest.mock.htmlJava: https://github.com/mockito/mockitoC++:  https://github.com/google/googletest ★ Support this podcast on Patreon ★

29 Huhti 20241h 35min

172: Transformers and Large Language Models

172: Transformers and Large Language Models

172: Transformers and Large Language ModelsIntro topic: Is WFH actually WFC?News/Links:Falsehoods Junior Developers Believe about Becoming Seniorhttps://vadimkravcenko.com/shorts/falsehoods-junior-developers-believe-about-becoming-senior/Pure PursuitTutorial with python code: https://wiki.purduesigbots.com/software/control-algorithms/basic-pure-pursuit Video example: https://www.youtube.com/watch?v=qYR7mmcwT2w PID without a PHDhttps://www.wescottdesign.com/articles/pid/pidWithoutAPhd.pdfGoogle releases Gemmahttps://blog.google/technology/developers/gemma-open-models/Book of the ShowPatrick: The Eye of the World by Robert Jordan (Wheel of Time)https://amzn.to/3uEhg6vJason: How to Make a Video Game All By Yourselfhttps://amzn.to/3UZtP7bPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Stadia Controller Wifi to Bluetooth Unlockhttps://stadia.google.com/controller/index_en_US.htmlJason: FUSE and SSHFShttps://www.digitalocean.com/community/tutorials/how-to-use-sshfs-to-mount-remote-file-systems-over-sshTopic: Transformers and Large Language ModelsHow neural networks store informationLatent variablesTransformersEncoders & DecodersAttention LayersHistoryRNNVanishing Gradient ProblemLSTMShort term (gradient explodes), Long term (gradient vanishes)Differentiable algebraKey-Query-ValueSelf AttentionSelf-Supervised Learning & Forward ModelsHuman FeedbackReinforcement Learning from Human FeedbackDirect Policy Optimization (Pairwise Ranking) ★ Support this podcast on Patreon ★

11 Maalis 20241h 26min

171: Compilers and Interpreters

171: Compilers and Interpreters

Intro topic: Monitor setupsNews/Links:BlueScuti, Willis, beats Tetrishttps://www.youtube.com/watch?v=GuJ5UuknsHUPalWorld accused of being an AI Producthttps://www.forbes.com/sites/paultassi/2024/01/22/palworld-accused-of-using-genai-with-no-evidence-so-far/?sh=26a9651b42394 Billion if-statements to determine if a number is even or oddhttps://andreasjhkarlsson.github.io/jekyll/update/2023/12/27/4-billion-if-statements.htmlSeamless M4Thttps://ai.meta.com/blog/seamless-m4t/Book of the ShowPatrick:Foundation by Isaac Asimovhttps://amzn.to/3SrmgnPJason: Propaganda by Edward Bernayshttps://amzn.to/47JUCXJPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: The Room Gamehttps://www.fireproofgames.com/games/the-roomJason:Incredibuildhttps://www.incredibuild.com/Topic: Compilers and Interpreters (Request by Jessica W.)Machine CodeArchitecture SpecificAssemblySingle vs Two Pass CompilerHigh level LanguagesIntermediate RepresentationJVM ByteCode vs Machine Code for portabilityScripting/InterpretersJITProfile Guided OptimizationResourceshttps://www.craftinginterpreters.com/https://nandgame.com/Turing Complete ★ Support this podcast on Patreon ★

12 Helmi 20241h 25min

170: 2023 Holiday Special Live

170: 2023 Holiday Special Live

Predictions:Jason VR for WorkLowering AI training cost/ improved efficiencyRISC-V takeoffPatrickAi claim of AGIAi peer reviewerAi Video GeneratorMore space vehicles reaching orbitEarly career, finding role at FAANG, liaising vs shipping code. Startup?3 part. 1. How and when current hype for AI will end? 2. Shape of the show 3. Upcoming in techWhat are essential programmer knowledge items?CS Student, how to organize life and goals? What purpose life should serve?What kind of programmer were you in college?Happy Holidays! ★ Support this podcast on Patreon ★

24 Joulu 20231h 38min

169: HyperLogLog

169: HyperLogLog

Intro topic: Testing your car batteryNews/Links:Tech Layoffs still going onhttps://www.sfchronicle.com/tech/article/google-layoffs-california-companies-18465600.php Real-time dreamy Cloudscapes with Volumetric Raymarchinghttps://blog.maximeheckel.com/posts/real-time-cloudscapes-with-volumetric-raymarching/Robot Rascalshttps://en.wikipedia.org/wiki/Robot_Rascals Meta Quest 3 https://www.theverge.com/23906313/meta-quest-3-review-vr-mixed-reality-headsetBook of the ShowPatrick:HyperLogLog Paperhttps://static.googleusercontent.com/media/research.google.com/en//pubs/archive/40671.pdf Jason: Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning https://blogs.nvidia.com/blog/2023/10/20/eureka-robotics-research/ Patreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrick: Techtonica: https://store.steampowered.com/app/1457320/Techtonica/ Jason:ESP32 development board: https://amzn.to/3Qpmb20 WEMOSTopic: HyperLogLogMotivationCardinality CountingLinearCountingHash + expectation of collision based on how fullBloom FilterLogLogUse first N bits as bucketUse max sequential 0s in each bucketAverageHyperLogLogHandle empty bucketsUse correction factor like linear counting for low counts (number of empty buckets) and high countsDistributingTransfer bucket counts ★ Support this podcast on Patreon ★

27 Marras 20231h 29min

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