A collection of notes from my ongoing attempt to learn new things, navigate life’s surprises, and make sense of both. You’ll find AI experiments, study notes, career reflections, personal stories, and the occasional reminder that not every lesson has to be learned the easy way.
Career Dashboard Current Target Role: Solutions Engineer (FinTech / Enterprise SaaS)Original Time-to-Hire Estimate: 90–120 daysCurrent Time-to-Hire Estimate: 90–110 days (Recalibrated post-certification)Confidence Level: Medium-HighRemaining Skill Gaps: Mid-Week Progress Status Check: My technical upskilling track is operating at maximum velocity, but my market validation metrics are hitting a brick wall. This week brought a profound sense of…
Career Dashboard Current Target Role: Cloud / DevOps Engineer (primary), Platform / MLOps Engineer (secondary)Original Time-to-Hire Estimate: 3–6 monthsCurrent Time-to-Hire Estimate: 3–5 monthsConfidence Level: MediumSkills Acquired: Kubernetes Deployments & Pods, ConfigMaps & Secrets, AWS VPC Fundamentals, CI/CD Security & LintingRemaining Skill Gaps: Today’s Objective Today’s objective was to run a Mid‑Week Progress Check and evaluate…
Career Dashboard Current Target Role: AI Solutions EngineerOriginal Time-to-Hire Estimate: 3–6 MonthsCurrent Time-to-Hire Estimate: 3–5 MonthsConfidence Level: MediumRemaining Skill Gaps: Progress Since Day 1: ✓ Established a structured learning plan✓ Identified transferable skills from previous roles✓ Developed a clearer understanding of modern AI architecture✓ Started connecting individual technologies into larger solution patterns✓ Increased confidence in…
Career Dashboard Current Target Role: Solutions Engineer (FinTech / Enterprise SaaS)Original Time-to-Hire Estimate: 90–120 daysCurrent Time-to-Hire Estimate: 100–120 daysConfidence Level: MediumRemaining Skill Gaps: Weekly Review Pace vs. Plan Audit: I am officially lagging behind my initial timeline expectations, and the culprit is an internal execution trap: over-studying. This week, I poured roughly 28 out of…
Career Dashboard Current Target Role: Cloud / DevOps Engineer (primary), Platform / MLOps Engineer (secondary)Original Time-to-Hire Estimate: 3–6 monthsCurrent Time-to-Hire Estimate: 3–5 monthsConfidence Level: MediumSkills Acquired: Terraform Modules (Refactoring IaC), Dockerized Service (Production‑like Packaging), Local Kubernetes Deployment (kind), Prometheus Metrics Exporter (Observability), CI Pipeline Enhancements (GitHub Actions)Remaining Skill Gaps: Today’s Objective Today’s objective was to…
Career Dashboard Current Target Role: AI Solutions EngineerOriginal Time-to-Hire Estimate: 3–6 MonthsCurrent Time-to-Hire Estimate: 3–5 MonthsConfidence Level: MediumRemaining Skill Gaps: Today’s Question Am I missing skills, or am I presenting them poorly? Ten days into this experiment, I expected to be thinking primarily about technology. Instead, I’ve spent most of today thinking about language. Not…
Career Dashboard Current Target Role: Cloud / DevOps Engineer (primary); Platform / MLOps Engineer (secondary)Original Time-to-Hire Estimate: 3–6 monthsCurrent Time-to-Hire Estimate: 2–4 monthsConfidence Level: MediumSkills Acquired: Portfolio repo with IaC, CI pipeline, containerized service, basic monitoring; screening call prep.Remaining Skill Gaps: Managed Kubernetes deployment, deeper cloud networking, security hardening, live interview practice. Today’s Objective Convert…
Career Dashboard Today’s Objective Gather qualitative feedback on my new resume and target market positioning through an informational interview with an active industry contact. What I Worked On I had a 45-minute virtual coffee chat with a former colleague who currently works as a Principal Solutions Architect at a mid-sized enterprise SaaS vendor. I also…
Career Dashboard Current Target Role: Cloud / DevOps Engineer (primary); Platform / MLOps Engineer (secondary)Original Time-to-Hire Estimate: 3–6 monthsCurrent Time-to-Hire Estimate: 2.5–5 monthsConfidence Level: MediumSkills Acquired: Terraform infra repo with modular structure, Dockerized microservice, GitHub Actions basic pipeline, README and runbook draft.Remaining Skill Gaps: Kubernetes deployment to a managed cluster, observability integration, security hardening, interview…
Career Dashboard Today’s Objective Complete the foundational network blocks of the AWS training and execute the rewrite of my master resume. What I Worked On I spent 5 hours on intensive AWS training focusing on VPC configuration, IAM security boundaries, and high-availability database setups. The remaining 3 hours were dedicated to rebuilding my resume from…
