Emids

A new milestone last week: I officially became an empty nester. 🪹 Last week I dropped my daughter, Lin, off at UMass Amherst to begin her freshman year at the Isenberg School of Management. Choosing a college was not an easy decision. She had a number of excellent options including NYU Stern, Emerson, and others, but ultimately chose Isenberg. Watching her make that decision reminded me that sometimes the “best” choice isn't simply the school with the most recognizable name. It’s about finding the combination of academics, opportunities, community, value, and environment where you believe you can thrive. After spending time at UMass Amherst, I feel very good about the choice she made. I was also genuinely impressed by something much less academic: the execution of move-in day. Coordinating the arrival of hundreds, if not thousands, of students and their families is an enormous logistical exercise. Yet from the moment our very fully loaded car entered campus until it was completely unloaded and I was driving away to park the car took less than 30 minutes. Clear directions, people positioned exactly where they were needed, and a process that simply worked. As someone who has spent much of my career thinking about delivery and operations, I couldn't help but appreciate it. But of course, the logistics were the easy part. Driving away was a little harder. ❤️ Lin, I wish you tremendous success at Isenberg, but even more than that, I hope these next four years bring you great friendships, independence, curiosity, confidence, and the courage to discover your own path. A big new chapter for her and for me too. As Lin starts building her, I find myself with a little more room to build mine, continuing to grow my real estate and property management business and helping more clients buy, sell, invest, and manage property across Greater Boston. #UMassAmherst #Isenberg #EmptyNester #RealEstate #GreaterBostonRealEstate

I'm happy to share that I've completed the certification for "Claude Code - The Practical Guide".

My course completion certificate for "AI Prompt Engineering and RAG for Software Engineers"

I’m happy to share that I’ve obtained a new certification: "AI Leader: Generative AI & Agentic AI for Leaders & Founders"

🚀 We’re Hiring: Java Support Engineer | Bangalore 🚀 Are you passionate about production support, troubleshooting, and working with modern cloud technologies? We’re looking for a talented professional to join our team in Bangalore! 🔹 Key Responsibilities Monitor, troubleshoot, and resolve issues across Java-based applications, SQL databases, and Unix/Linux environments Perform root cause analysis and implement permanent fixes Collaborate with development and business teams to ensure smooth operations Manage incident response, escalation, and communication during critical events Drive automation and process improvements using AI-driven tools Support and maintain infrastructure on AWS cloud services Document operational procedures and maintain a knowledge base Ensure adherence to SLAs and operational standards 🔹 Required Skills Strong experience in Java, SQL, and Unix/Linux Hands-on expertise with AWS services (EC2, S3, RDS, etc.) Good understanding of application support & production environments Experience in incident management and troubleshooting Knowledge of monitoring tools and log analysis Familiarity with automation or scripting (Shell/Python preferred) Strong problem-solving and communication skills 📍 Location: Bangalore 📩 Apply/Refer: rima.mishra@apexon.com #Hiring #BangaloreJobs #JavaJobs #ProductionSupport #AWS #CloudComputing #DevOps #TechCareers #ITJobs #SQL #Linux #NowHiring #CareerOpportunity #Apexon #SupportEngineer

🚀 Rethinking Software Testing Life Cycle with Agentic AI Most AI testing solutions today can generate outputs… But very few bring structure, governance, and lifecycle discipline. Over the past few months, I have been working on something deeper: 👉 A structured Agentic AI–Driven Software Testing Life Cycle (STLC) platform To the best of my knowledge, this represents one of the first structured approaches to bringing: ✔️ End-to-end lifecycle orchestration ✔️ Contract-driven execution ✔️ Runtime verification ✔️ Governance and traceability into a unified AI-driven testing system. 🔷 What makes this fundamentally different? Instead of treating AI as isolated agents or prompt-driven tools, this platform introduces a stage-governed lifecycle: ➡️ Plan ➡️ Design ➡️ Implement + Runtime Verification ➡️ Validation ➡️ Git / Publish Each stage operates with: Explicit contracts (inputs, outputs, exit criteria) Human-in-the-loop decision points Built-in runtime verification (not post-facto validation) Full traceability across artifacts and stages 🔷 Not Just Architecture — Fully Executable Platform The images below demonstrate actual platform execution: Stage-driven lifecycle orchestration Contract-based execution across stages Runtime verification embedded within implementation Full artifact capture (logs, outputs, evidence) Human-in-the-loop approvals for controlled release This is not a conceptual model — it is an operational system designed for enterprise-scale adoption. 🔷 Beyond a Workflow — A Complete Platform Ecosystem This platform brings together: Execution dashboard with real-time orchestration Prompt governance and versioning system Knowledge base with contextual intelligence Agent ecosystem (50+ specialized agents — coding & non-coding) Full execution history and audit trace Enabling a shift from: 👉 isolated AI execution to 👉 enterprise-grade AI-driven testing platforms 🔷 Key Architectural Contributions 💡 Contract-governed AI execution 💡 Separation of design vs execution layers 💡 Embedded runtime verification 💡 Governance-first AI architecture 💡 Artifact-centric traceability 🔷 Why this matters The industry is moving from: 👉 “Can AI generate test artifacts?” to 👉 “Can AI systems be trusted, governed, and scaled in production?” This shift demands engineering rigor — not experimentation. 🔷 Personal Note This platform has been designed, developed, and validated end-to-end based on real enterprise challenges in automation and AI adoption. I strongly believe: 👉 The future of AI in software testing will not be defined by generation capability, but by how well it is structured, governed, and trusted at scale. Would love to hear perspectives from architects, QA leaders, and AI practitioners. #AgenticAI #SoftwareTesting #AIArchitecture #QualityEngineering #TestAutomation #EnterpriseAI #Innovation

Hanken students, don’t miss this. AI is already reshaping marketing, from content creation to decision-making. The real question is: what does that mean for your future career? Join HankAI: AI in Marketing - The Future of Work to get a clear, practical look at: • How AI is used in marketing today • The key tools you should know • How roles and skills are changing Featuring speakers Mikael da Costa : CEO & Founder at WP SEO AI, Frank Diepmaat : RevOps manager at Hoxhunt, and Anna Ursin : Fractional GTM at SaaS Anna. Event organized by The AI Collective , HankAI and Herizon . AI in Marketing - The Future of Work Date: 29.04.2026 Time: 17:00-20:30 Place: Hanken Business School, Lila Hången Arkadiankatu 22, Helsinki https://lnkd.in/dY7hvka3

We don’t struggle because we don’t know what to do. We struggle because we don’t do what we already know. — Engineers know they should: • Communicate clearly • Ask questions early • Take ownership Managers know they should: • Support their team • Give clarity • Prioritise people over deadlines And yet… it doesn’t happen. — This is not a knowledge problem. It’s an execution problem. And most execution problems are emotional problems in disguise. Fear of looking stupid. Avoidance of discomfort. Need to prove instead of learn. — Until we address that… no framework, no process, no training will stick. — This is exactly what I’m working on through my sessions with tech teams. Because performance isn’t just technical. It’s deeply human. — If this resonates with you or your team, comment “IN” or DM me. — #Leadership #EngineeringCulture #EmotionalIntelligence #TechLeadership #WorkplaceGrowth #Performance #Execution #SelfAwareness #CareerGrowth #Managers

🔥 Most Oracle Developers Don’t Know This Optimization — FILTER PUSHDOWN You write a query thinking Oracle will execute it step by step… 👉 But Oracle rewrites your SQL behind the scenes to make it faster. One of the most powerful (and hidden) optimizations is: 💡 FILTER PUSHDOWN (Predicate Pushdown) 🧠 What Really Happens? You write: SELECT * FROM orders o JOIN customers c ON o.cust_id = c.cust_id WHERE c.country = 'INDIA'; ❌ What most people think: Join all orders + customers Then filter INDIA 👉 Huge data processing 😓 ✅ What Oracle actually does: It pushes the filter before the join 👉 Filters customers first 👉 Then joins only required rows Result? ⚡ Less data ⚡ Less CPU ⚡ Faster query 🚀 Where This Becomes a Game Changer ✔ Views (filters pushed inside views) ✔ Subqueries (optimized automatically) ✔ Remote queries (executed on remote DB) ⚠️ Common Mistake That Breaks This Avoid writing: WHERE TO_CHAR(order_date, 'YYYY') = '2025' 👉 This blocks: ❌ Index usage ❌ Predicate pushdown ❌ Partition pruning ✅ Write Like This Instead: WHERE order_date >= DATE '2025-01-01' AND order_date < DATE '2026-01-01' 👉 Now Oracle can fully optimize 🔥 🔍 How to Verify SELECT * FROM table(DBMS_XPLAN.DISPLAY_CURSOR(NULL, NULL, 'ALLSTATS LAST')); 👉 Check how early filters are applied 👉 Watch row reduction happen 🎯 Final Thought 👉 Oracle doesn’t execute your SQL as-is 👉 It TRANSFORMS it Small rewrite in SQL = Massive performance gain ⚡ If you’re serious about Oracle performance tuning… Follow me for more deep dives like: 🔥 Scalar Subquery Caching 🔥 Join Elimination 🔥 Adaptive Cursor Sharing #Oracle #SQL #PerformanceTuning #Database #PLSQL #OracleDB #QueryOptimization #DBA #DataEngineering #TechLearning