Merge branch 'main' of https://github.com/DataTalksClub/datatalksclub.github.io

Author: kavaivaleri

_books/20251006-software-development-at-rocket-speed.md

@@ -0,0 +1,15 @@
+---
+authors:
+- nikolaysmorchkov
+cover: images/books/20251006-software-development-at-rocket-speed/cover.jpg
+description: Book of the Week. Software Development at Rocket Speed by Nikolay Smorchkov
+end: 2025-10-10 23:59:59
+image: images/books/20251006-software-development-at-rocket-speed/preview.jpg
+links:
+- link: https://www.amazon.de/Nikolay-Smorchkov-ebook/dp/B0FJ5VHBFD
+  text: Buy on Amazon
+start: 2025-10-06 00:00:00
+title: Software Development at Rocket Speed
+---
+
+This book is a comprehensive and practical guide designed to help entrepreneurs, startup founders, and tech managers create high-quality IT products quickly and efficiently. Written in an accessible yet deeply insightful style, the book walks readers through the complete software development lifecycle, offering concrete tools, methodologies, and real-world examples to demystify technical complexity and accelerate product delivery, whether you're using AI or not. The "Software Development at Rocket Speed" book is ideal for startup founders with or without a technical background, product managers and business owners launching IT products, tech team leads looking to streamline delivery, and anyone exploring how to blend modern tools (including AI) with time-tested project management principles. The book outlines how to define tasks clearly and concisely, introducing the concept of Minimum Viable Features (MVF) and stressing the importance of simplicity and clarity, even when working with AI assistants.

_data/events.yaml

@@ -1,23 +1,75 @@
 
+- time: 2025-10-07 17:00:00
+  title: "The Future of AI Agents"
+  speakers: [adityagautam]
+  type: podcast
+  link: https://luma.com/0s0dcpdl
+
+
+- time: 2025-11-18 17:00:00
+  title: "AI Dev Tools Zoomcamp 2025 Course Launch"
+  speakers: [alexeygrigorev]
+  type: webinar
+  link: https://luma.com/80ve8r1u
+
+
+- time: 2025-11-04 17:00:00
+  title: "AI Dev Tools Zoomcamp 2025 Pre-Course Live Q&A"
+  speakers: [alexeygrigorev]
+  type: webinar
+  link: https://luma.com/6p356li5
+
+
+- time: 2025-10-21 17:00:00
+  title: "Deep Learning with PyTorch"
+  speakers: [alexeygrigorev]
+  type: workshop
+  link: https://luma.com/vc02zy6a
+
+
+- time: 2025-10-13 17:00:00
+  title: "Practical guide: Fine-tuning Qwen3 with LoRA"
+  speakers: [ivanpotapov]
+  type: workshop
+  link: https://luma.com/n41kqkfh
+
+
+- time: 2025-10-07 17:00:00
+  title: "Deploying ML Models with Kubernetes"
+  speakers: [alexeygrigorev]
+  type: workshop
+  link: https://lu.ma/hx6v50yr
+
+
+- time: 2025-10-06 17:00:00
+  title: "From Biotechnology to Bioinformatics Software"
+  speakers: [sebastianayalaruano]
+  type: podcast
+  link: https://luma.com/xwunn7qv
+
+
 - time: 2025-09-23 17:00:00
   title: "Building reliable AI products in the era of Gen AI and Agents"
   speakers: [ranjithakulkarni]
   type: podcast
   link: https://luma.com/d94lfxyj
+  youtube: https://www.youtube.com/watch?v=x2AAjqz2XmM
 
 
-- time: 2025-09-22 17:00:00
+- time: 2025-09-30 00:08:00
   title: "Lessons from Applied AI: Tesla, Waymo, and Beyond"
   speakers: [aishwaryajadhav]
   type: podcast
   link: https://luma.com/eutirjbp
+  youtube: https://www.youtube.com/watch?v=vK_SxyqIfwk
 
 
 - time: 2025-09-22 17:00:00
   title: "From Semiconductors to Machine Learning: A Career in Data and Teaching"
   speakers: [dashelruizperez]
   type: podcast
   link: https://luma.com/dpnjw056
+  youtube: https://www.youtube.com/watch?v=B2tzuUg5uZs&t=2811s
 
 
 - time: 2025-09-16 17:00:00
@@ -33,6 +85,7 @@
   speakers: [abouzarabbaspour]
   type: podcast
   link: https://luma.com/nxfzekml
+  youtube: https://www.youtube.com/watch?v=gXvVMvhfrIY
 
 
 - time: 2025-09-15 17:00:00
@@ -152,6 +205,7 @@
   speakers: [alexeygrigorev]
   type: workshop
   link: https://lu.ma/e5xkz413
+  youtube: https://www.youtube.com/watch?v=-XLgk1O421I
 
 
 - time: 2025-07-21 17:00:00

_people/adityagautam.md

@@ -0,0 +1,13 @@
+---
+short: adityagautam
+title: "Aditya Gautam"
+picture: "images/authors/adityagautam.jpg"
+
+
+linkedin: aditya-gautam-68233a30
+
+---
+
+Aditya Gautam is an AI expert contributing to the advancement of the field through industrial innovation, academic research, and public discourse. At the core of his work, he designs and builds systems in the domain of Large Language Models (LLMs) and AI Agents to solve complex challenges in integrity, recommendation, and user ranking at a massive scale. His career includes pivotal machine learning roles at Google and currently at Meta, where he leads Machine Learning efforts in Integrity for Recommendation system. This work is focused on ensuring the safe and responsible deployment of generative AI technologies for millions of users.
+
+As an active voice in the Generative AI community, Aditya actively disseminates his expertise on the global stage. He is a frequent speaker and panelist at premier events and conferences such as the Databricks Data + AI Summit and Analytics Vidhya, sharing novel insights on agentic system evaluation, LLM cost optimization, and the LLM-driven transformation of recommendation engines. His thought leadership is also featured in interviews with publications like Marktechpost and on various industry podcasts. He also contributes to the development of AI policy, offering insights for regulations like the EU's Digital Services Act (DSA). His influence in the academic community is demonstrated by his research on misinformation presented at ICWSM, his role as a session chair for ECML PKDD, and his service as a peer reviewer for top-tier venues like NeurIPS, ICML, and AAAI. Aditya holds a Master's degree from Carnegie Mellon University.

_people/nikolaysmorchkov.md

@@ -0,0 +1,16 @@
+---
+short: nikolaysmorchkov
+title: "Nikolay Smorchkov"
+picture: "images/authors/nikolaysmorchkov.jpg"
+
+
+linkedin: nikolay-smorchkov-mba
+web: http://www.smorchkov.com/
+---
+
+Nikolay Smorchkov, MBA, is a seasoned product and technology leader with over a decade of experience in software and product development, as well as team management. He has served as CTO and co-founder of a web agency, leading diverse client projects from concept to deployment. Currently, he works as a Payment Software Leader at a B2B payments provider in Germany, combining his technical know-how with a strong business mindset.
+Holding an MBA and certifications in ITIL, AWS, ISO 27001, and Business Continuity Management, Nikolay has built and led teams across multiple European countries, gaining firsthand insight into cross-cultural collaboration and global product delivery.
+
+Nikolay is passionate about fostering strong team practices, clear communication, and robust documentation to achieve the highest performance in software development. He regularly shares insights on AI, security, User Experience (UX), and global team dynamics. From dissecting AI-generated code risks to exposing poor digital form design.
+
+Nikolay brings real-world examples and practical frameworks to his writing. His blend of hands-on development experience, management acumen, and business mindset makes him uniquely qualified to guide readers through the complexities of modern software product development.

_people/sebastianayalaruano.md

@@ -0,0 +1,12 @@
+---
+short: sebastianayalaruano
+title: "Sebastian Ayala Ruano"
+picture: "images/authors/sebastianayalaruano.jpg"
+
+
+linkedin: sayalaruano
+web: https://sayalaruano.github.io/project/
+---
+
+Sebastian Ayala Ruano is a bioinformatics software developer whose work bridges biotechnology and computational biology. He has contributed to open-source tools including MicW2Graph, VueGen, and VueCore, designed to simplify multi-omics data analysis for researchers. Previously, he worked on projects in cheminformatics, peptide discovery, and network-based analysis, and has developed educational bioinformatics tools for open science communities.
+Sebastian is currently pursuing a Master’s degree in Systems Biology at Maastricht University, where he focuses on integrating machine learning and network science into biological research. He shares his projects and insights through his personal website and GitHub.