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What does it take to dedicate your entire life to serving others and touch more than 2 Million lives? In this special conversation, we sit down with the founder of Sevalaya to explore the incredible journey, struggles, and mindset behind building an organization that has transformed countless communities.Key Highlights Covered: • 00:00 - Introduction & The Vision Behind Sevalaya• 08:30 - Taking the First Step: How It All Began• 21:15 - Overcoming Doubts, Challenges & Scaling Social Impact• 38:40 - Transforming Lives: Real Stories from the Field• 52:10 - Lessons on Purpose, Leadership & Giving Back• 1:01:00 - Key Takeaways for the Youth & Future GenerationsAbout Sevalaya:Sevalaya is a registered charitable trust inspired by Mahatma Gandhi, Swami Vivekananda, and Mahakavi Bharathiyar, dedicated to serving the rural poor through education, healthcare, and shelter.India Donation : https://sevalaya.org/USA Donation : https://www.sevalaya.us/To Volunteer : https://sevalaya.org/volunteer/Connect with Tamilboomi:Website: https://tamilboomi.com#Sevalaya #Inspiration #SocialImpact #Tamilboomi #Podcast

In this episode of Tech Pechu Podcast (Ep 2), Aru, Rajesh, and Manoj dive deep into the real impact of AI on tech jobs and software engineering. Is AI really taking away developer roles, or is the market simply evolving? We break down real-world workplace experiences, why AI companies like Anthropic are still actively hiring Data Engineers, why business understanding beats pure prompt engineering, and what skills you need to stay relevant in the AI era.📌 Topics Covered:- Will AI completely replace software engineers?- Why "Human-in-the-loop" & business context matter more than ever- Anthropic hiring Data Engineers: The reality behind the hype- How layoffs connect to skill evolution and efficiency- Moving beyond prompts: Building autonomous AI agents- Real-world AI use cases across healthcare, ISRO, and enterprise tech- The future of AI costs and rising cybersecurity demand⏱️ Timestamps:00:00 - Introduction & Recap01:05 - Will AI Replace Software Engineers?04:00 - The Need for Human-in-the-Loop & Business Logic07:10 - Why Anthropic & Big Tech Still Hire Data Engineers10:15 - Headcount Cuts vs Real Job Replacement12:00 - Continuous Learning & Upskilling in IT17:05 - Beyond Prompts: What Defines a True AI Engineer?22:50 - Real-World AI Applications (ISRO & Healthcare)27:10 - AI Security, Rising Costs & the Next 2-5 Years30:40 - Conclusion & Community Discussion💬 What are your thoughts on AI replacing tech jobs? Share your perspectives in the comments below!SpeakersRajesh KannaLinkedIn: https://www.linkedin.com/in/rajesh-kanna-a8016479Manoj TLinkedIn: https://www.linkedin.com/in/manoj-t-dataengineer/Arumugam PunnaivanamLinkedIn: https://www.linkedin.com/in/arumugam-punnaivanam-41432349/🔗 Connect with Tamilboomi:Website: https://tamilboomi.comLinkedIn: https://www.linkedin.com/company/tamilboomi#AI #TechPodcast #Tamilboomi #TechPechu #DataEngineering #SoftwareDevelopment #CareerInAI #AITamil

If you wish to connect with me,WhatsApp : +91 9619663272 Linked in : https://www.linkedin.com/in/arumugam-punnaivanam-41432349/Be Happy and Serve all :)--------------------------------Video Notes :We may be working on a office often stressed Sometimes feeling like a victim I get corneredPeople are dumping the work on me..Apdinu we often feel and manager is not good and manager is good etc....We often feel burnout and stressed due to this..One simple technique to overcome is..Set the context properly...See why you are working? What your work is doing?You may be working in financial industry or telecom or non it etc. etc..The business exists to serve customers..So it must be serving some customers or solving some problem for sure...So you focus your attention there.. work to improve that...You are not working for your manager or your colleagues or even you can separate your salary from that... Salary is coming because you are committed to that work. But why you are working is to serve the clients...No need to think anyone as superior or lower... Manager or even CEO they reached that level because everyone believed she can serve clients better. That's it.. You may not have the responsibility to do the things in your org that you want to do.. but if you share your ideas across without thinking no, this is my idea i should get credit for etc you will eventually reach a position of responsibility. Like manager team lead etc...But important thing is we should not forget that even the manager position is to serve clients better and added responsibility of serving our team also better. It's not a opportunity to throw our power and get consumed by it...If we keep this mindset then no one can stop our growth...it will happen automatically... You are always working for the betterment for the company and your colleagues...That doesn't mean you have to work 24 7 and burn yourself out ..that's not what it means.. simply to the extent what you can do and think we are doing. That's important... You will be also very happy. You won't feel stressed or heavy working... Give it a try...

AI Developer & Entrepreneurship Inspiring Story | TamilboomiIn this episode, we sit down with Sivanesh, a B.Com student who transitioned into AI product development and built his own AI agency from scratch with zero traditional coding background.From starting on a basic laptop to mastering tools like n8n, Claude, Python, and open-source AI frameworks, Sivanesh shares his practical roadmap, overcoming early hurdles, and landing real-world clients.📌 Timestamps: 00:00 - Introduction & Guest Welcome 01:23 - Sivanesh’s Background (B.Com to Tech) 03:00 - The Turning Point & Learning AI Tools 06:00 - Exploring n8n, Claude & Open Source Frameworks 11:00 - Overcoming Hardware Limitations 13:30 - Landing Real Clients & Building AI Solutions 17:00 - Why Open Source Matters in AI 24:00 - Client Delivery & Distribution Challenges 30:00 - Building AI Automation & Workflows 42:00 - Advice for Students & Non-Tech LearnersConnect with Sivanesh:https://www.sivanesh.site/🔗 Connect with Tamilboomi:Website: https://tamilboomi.comWhatsApp Group Link: https://chat.whatsapp.com/EVEyPBDLB28EFiPyTgypBUEmail : [email protected] / Community: Join our growing community of tech learners!#Tamilboomi #AI #StudentSuccess #ArtificialIntelligence #TechCareer #TamilTech #entrepreneurship

To Connect,WhatsApp (Aru) : +91 9619663272 To learn and community : https://www.tamilboomi.com/Student entrepreneurship story and Vipassana meditation.

🤝 Join our Whatsapp Tech Community: https://chat.whatsapp.com/EVEyPBDLB28EFiPyTgypBU📸 Follow Tamilboomi Technologies on Instagram: https://www.instagram.com/tamilboomitechnologies/Visit our Site for Free resources and course details : https://www.tamilboomi.com/🎙️ Friday Talk with Aru is a weekly podcast where we discuss technology, AI, careers, leadership, and practical lessons for working professionals.

Lets talk tech.. For More :Whatsapp : +91 9619663272 Site : https://www.tamilboomi.com Email : [email protected] : https://www.linkedin.com/company/tamilboomi-technologies/

Aws Data Engineering Q & A

Course Registration link: https://forms.gle/AhNxVTgSjpDovhav5Interested in becoming an AWS Data Engineer or transitioning from testing, support, development, or another IT role?This Tamilboomi online course orientation explains the roadmap for our upcoming AWS Data Engineering program, starting on August 17.In this session, we discuss:✅ The role and responsibilities of a data engineer ✅ Data ingestion, processing, transformation, quality, and storage ✅ ETL pipelines and real-world data workflows ✅ AWS services including S3, Glue, Redshift, and Step Functions ✅ Python, SQL, Spark, and PySpark for data engineering ✅ Kafka and Airflow fundamentals ✅ AWS compared with Azure, GCP, Snowflake, and Databricks ✅ Real-time AWS Data Engineering projects ✅ An AI-focused project using AWS services ✅ AWS certification guidance ✅ Interview preparation and career-transition support ✅ Opportunities for freshers and experienced professionals The approximately 3.5-month program is designed to provide structured, practical learning from the fundamentals. Participants will work with integrated AWS services and understand how real data-engineering projects are designed, developed, troubleshot, and supported.The course is suitable for:• Beginners starting a data-engineering career • Testers and support professionals planning a transition • Developers moving toward cloud and data engineering • Experienced professionals seeking practical AWS exposure • Learners preparing for AWS Data Engineer certifications 📅 Course starts: August 17 🏫 Organized by: Tamilboomi 🎓 Upcoming cohort: Batch 9 For registration and course details, contact the Tamilboomi team through the official community channels.Course Registration link : https://forms.gle/AhNxVTgSjpDovhav5Subscribe for more Tamilboomi course orientations, technical workshops, interview guidance, and career-development sessions.#AWS #DataEngineering #PySpark #Python #SQL #ApacheSpark #CloudComputing #TamilboomiWhatsapp Group Link: https://chat.whatsapp.com/LDizTwdnCptDNMRJQCqQ3aInstagram : https://www.instagram.com/tamilboomitechnologies/?hl=enPlease Read the group's Description after joining.For More :Whatsapp : +91 9619663272Site : https://www.tamilboomi.com/Facebook : www.facebook.com/tamilboomiofficial https://www.facebook.com/profile.php?id=100086635221398Email : [email protected] : https://www.linkedin.com/company/tamilboomi-technologies/

After using AI almost every day for the past few months, I've realized something important—AI is an incredible assistant, but it's not a replacement for your thinking.In this episode of Friday Talk with Aru, I share the biggest lessons I've learned while using LLMs for content creation, coding, learning, and everyday work. We discuss why prompt engineering alone isn't enough, why context matters more than most people think, and how to use AI responsibly without blindly trusting every answer.If you're using ChatGPT, Claude, Gemini, or any other AI tool, these practical lessons will help you become a smarter AI user.## Chapters00:00 - My biggest AI learnings after months of daily use02:18 - Prompt Engineering vs Context Engineering04:47 - Why humans are still responsible in the AI era💬 What is the biggest lesson you've learned while using AI? Share it in the comments!🤝 Join our Tech Community: https://chat.whatsapp.com/EVEyPBDLB28EFiPyTgypBU📸 Follow Tamilboomi Technologies on Instagram: https://www.instagram.com/tamilboomitechnologies/🎙️ Friday Talk with Aru is a weekly podcast where we discuss technology, AI, careers, leadership, and practical lessons for working professionals.👍 Like | 📤 Share | 🔔 Subscribe so you don't miss next Friday's conversation.#AI #ChatGPT #PromptEngineering #ArtificialIntelligence #LLM #GenerativeAI #CareerGrowth #Technology #TamilTech #FridayTalkWithAru

In This episode we talked about various business ideas and career in general..

00:00 Introduction00:42 Why some engineers grow faster02:15 Hard work vs business impact04:20 AI is changing what companies value06:45 The skill AI can't replace08:55 Practical advice for your career10:30 Final thoughts🤝 Join our Tech Community:https://chat.whatsapp.com/EVEyPBDLB28EFiPyTgypBU📸 Follow Tamilboomi Technologies on Instagram:https://www.instagram.com/tamilboomitechnologies/🎙️ Friday Talk with Aru is a weekly podcast where we discuss technology, AI, careers, leadership, and life lessons for working professionals.If this episode helped you, consider Like 👍 | Share 📤 | Subscribe 🔔 so you don't miss next Friday's conversation.

IT jobs aren't vanishing — they're shifting. This month, overall IT job postings in India dropped about 3% year-on-year, but AI-related hiring grew around 16%. And it's not just Bengaluru anymore — Kolkata, Delhi, and Chennai are all opening up. Even the salary story is clear: roles in the ₹50 lakh+ band grew around 55%, with strong demand for specialized, senior talent.In this episode, I break down what's actually happening in the job market and three things you can do about it:Don't switch away from your domain — layer AI on top of it. A finance person who knows banking AND can direct AI is far more valuable than a generic engineer building the same tool.Build proof, not just certifications. Certifications are fine, but showing something you actually built — publicly — matters more.Specialization now beats years of experience. Companies like TCS and Wipro are restructuring pay around capability. A specialist can move ahead faster than tenure alone allows.I also share the cricket app I built using Claude — with no coding background — in about two hours, and why in-person training (like the Tamil Nadu Government MSME program in Chennai) can be valuable more for the connections than the content itself.Start one thing. Finish it. Build it. Plan your next 6 months.📌 MSME training details: www.editn.inCricket APP : https://transformwitharu.github.io/cricket-scorer/💬 Share your thoughts in the comments — what will you start in the next 6 months?Join the community: https://chat.whatsapp.com/EVEyPBDLB28EFiPyTgypBUFollow: https://www.instagram.com/tamilboomitechnologies/More at tamilboomi.com

Two testers, same team, same company in Bangalore. Karthik — 8 years experience, minimal AI use. Meena — 6 years experience, started spending just a little extra time learning and applying AI tools to her testing work. This is an illustrative story built on real industry trends, not a real reported case — but what it points to is real. We're now past the halfway mark of 2026. In this episode: why "execution work" (manual testing, data entry, basic content writing, customer support) is getting automated fast, while "judgment work" (deciding how systems should be built, handling clients, making the actual calls) is opening up more — and paying more. A real example of a company that moved from 48 to 30 employees using AI agents — and why it's not as simple as "AI replaces everyone." Domain knowledge still matters — recent research shows people with real domain expertise but no coding background completed coding tasks more successfully than people who only knew how to code. Plus a hiring story: what actually impressed me in 100+ intern applications, and why "just build something" beats "just chat with AI." Plan your next 6 months — not a drastic overhaul, just start paying attention. 💬 Drop your thoughts in the comments — what are you doing differently in the next 6 months? Join the community: https://chat.whatsapp.com/EVEyPBDLB28EFiPyTgypBUFollow: https://www.instagram.com/tamilboomitechnologies/More at tamilboomi.com

Share your feedback about this episode on :📱 Instagram: https://www.instagram.com/tamilboomitechnologies/💬 WhatsApp → https://wa.me/919619663272📧 arumugam@tamilboomi.com-------------------------------------------- Anthropic studied 400,000+ AI coding sessions across real working professionals — and the results surprised us. Coding experts scored 34%. Non-coders from management, legal, and sales scored 29%. Just a 5% gap. In this episode we dig into what that actually means — for people wanting to switch into IT, for entrepreneurs who want to build their own products, and for mid-career professionals wondering if their experience still matters. We also talk about agent hacking — a new risk that's quietly growing as more people trust AI to act on their behalf — and what the ChatGPT market share drop below 50% means for all of us. This is not a lecture. We are learning this together. Learning AI with Aru | Powered by Tamilboomi