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How I Solve Growth & Engineering Problems
Real examples of how I identify bottlenecks, design systems, and deliver reliable production outcomes across SEO, SaaS, and automation.
Overview
About Myself
AI-first Digital Growth & SEO professional combining software engineering, technical SEO, and AI automation.
I'm an AI-first Digital Growth & SEO professional with around 4 years of technical, SaaS, and automation experience, with 19+ digital growth, AI, and automation systems plus additional freelance and business solutions. I build and optimize systems across SEO, content, search intelligence, marketing automation, analytics, conversion, attribution, social, email, and AI agents. My work goes beyond using marketing tools — I design, build, and automate the systems behind growth. This includes programmatic SEO engines, Google Search Console intelligence, automated SEO traffic and content-refresh agents, AI marketing operations, multi-touch attribution, browser-automation SaaS, business calling agents, education platforms, and AI-powered workflow systems. My core approach is AI + Automation + Optimization: identify a repetitive, expensive, or measurable business process, turn it into a data-driven workflow, automate what can be automated, and continuously improve the outcome through analytics and feedback.
Career Milestones
Technical Deep Dives
Experience Quick Reference
The one-line version of every role story
| Situation | Angle | Impact |
|---|---|---|
| Broken pipelines at InfoZ | Rebuilt with staged rollouts + auto-rollback | Near-zero deploy failures |
| Cloud overspend | Audited + right-sized + scheduled scaling | 40% instances were waste |
| Noisy monitoring at InfoZ | Threshold-tuned, silenced noise | MTTD: user-reported → 5 min |
| ERP from scratch at LDM | Architected for bursty load | 500+ DAU, still running |
| Exam submissions slow | Async batched DB writes | 8s → under 1s |
| Slow DB queries | Composite indexes + materialized views | Page loads instant |
| SEV-2s at HCL | Root cause analysis, not just restarts | Recurring incidents eliminated |
| Alert noise at HCL | Audit + retune + runbooks | 200+ alerts → under 20 |
| CrawlMindAI Visual SaaS | Headless Playwright + Pydantic schema | 99% extraction accuracy |
| Programmatic SEO Engine | Prisma + Next.js ISR + Schema.org | 100% valid JSON-LD, 0 collisions |
| Multi-Touch Attribution | ClickHouse OLAP + Markov removal effects | Mathematical channel lift |
Project Quick Reference
The one-line version of every project story
| Project | Problem | Decision | Result |
|---|---|---|---|
| AI CommodityChain | Hallucinating AI financial tools | Context injection from live data | Grounded analysis, 60s latency |
| Enterprise Web Scraper | Manual, stale competitor data | Scrapy + Selenium dual-engine | 10,000+ products tracked reliably |
| Sales Dashboard | Manual inconsistent Excel reports | Repeatability-first pipeline | Consistent, decision-ready reports |
| Email Automation | Generic batch campaigns | Event-based triggers + SendGrid | Targeted, adaptable campaigns |
| API Framework | Rebuilding integrations from scratch | Reusable adapter + failure-first | Hours not days per integration |
| Document Management | Unstructured file storage | Rule-based + edge case handling | Consistent, searchable storage |
| Social Media Suite | Fragmented manual posting | API + Selenium + analytics loop | Reliable cross-platform scheduling |
Universal Questions
What would you do differently?
Tell me about a failure.
How do you prioritize when everything is on fire?