Built → Secured → Still Running

Real Results from Real Engagements

See how businesses automated operations, recovered from breaches, and kept systems running with Quinji. Real clients. Real outcomes.

Case Study #1

10-Year Client Relationship — Ongoing Security and Infrastructure Management

Managed Security

!Problem

The client wasn't looking for a one-off fix. They'd been through enough reactive firefighting — something breaks, you scramble, you patch it, then wait for the next thing. What they wanted was someone who treated their infrastructure like it mattered. Someone who'd be there before the problem, during it, and after it. That's a rare thing to find and even rarer to keep.

🔍Root Cause

Growing infrastructure with no dedicated security resource. No maintenance schedule, no proactive patching, no monitoring — issues discovered by clients instead of caught by monitoring.

🔧Fix Implemented

  • Took over full server administration and security management
  • Established proactive maintenance schedule with regular patching
  • Executed multiple server migrations over the relationship as the client's needs grew
  • Monitoring, alerting, and automated security updates configured and maintained
  • On-call incident response for emergencies throughout the engagement
  • Complete infrastructure documentation maintained and updated

Outcome

  • 10+ year continuous relationship — the client never hired another security professional in that time
  • Zero downtime during 3 platform migrations over 10 years
  • Issues caught in maintenance windows, not by clients reporting problems
  • The quote says it all: "The only security expert I've used for the last 10 years."

"The only security expert I've used for the last 10 years."

— Upwork Client Review

Time to Stabilize

Ongoing retainer — proactive, not reactive

Long-term Prevention

  • Bi-weekly maintenance windows as standard
  • Proactive vulnerability scanning before CVEs become incidents
  • Infrastructure documentation updated with every change
Case Study #2

AI Automation for a $20M Business — Built, Secured, and Monitored

Business Automation

!Problem

A $20M+ business wanted AI agents running in their environment — but they'd seen enough to know the risk. Give an AI access to your systems and you're trusting it to never do something it shouldn't. At that scale, one wrong execution — one misconfigured instruction that gets acted on without review — isn't a minor issue. It's an operational incident. They needed AI that was genuinely under control, not just theoretically safe.

🔍Root Cause

Most AI automation deployments optimize for capability and ignore the safety layer entirely. No controls on what the system can execute, no human review for sensitive operations, no record of actions taken, and no fallback path when instructions fall outside safe limits.

🔧Fix Implemented

  • Secure environment built from the ground up — no shortcuts
  • All credentials isolated and protected — nothing shared, nothing exposed
  • Every automated action reviewed before execution — no unilateral decisions
  • Clear boundaries on what the system can and cannot do
  • Secure remote access configured and locked down
  • Full log of every action — nothing happens invisibly
  • New environments ready in under 30 minutes

Outcome

  • AI systems running in production — client confident from day one
  • Risky actions flagged for human approval before execution
  • Complete visibility into what the system is doing
  • New environments ready in under 30 minutes
  • Built to handle real business volume

Time to Stabilize

Under 30 minutes per server, safety layer active from day one

Long-term Prevention

  • Human review for sensitive actions is permanent — not a temporary setting
  • Logs reviewed as part of ongoing monitoring
  • Boundaries updated as the business evolves, not left static
Case Study #3

Automated Business Operations — Support, Content, and Reporting Running 24/7

AI Automation

!Problem

Client needed multiple business tasks automated — customer support triage, content creation, and reporting. Each task needed to run independently without interfering with the others. Most automation setups fail here because the systems start mixing up contexts and producing inconsistent results.

🔍Root Cause

Off-the-shelf automation tools cannot keep separate tasks properly separated. One system starts affecting another, and quality drops without anyone noticing.

🔧Fix Implemented

  • Multiple automated systems, each handling a specific business function
  • Each system configured with its own rules, tone, and boundaries
  • Complete separation — one task cannot interfere with another
  • Automatic checks to catch quality drops before they reach the client
  • Simple management guides — one person can oversee everything
  • Clear rules for when the system should flag a human

Outcome

  • Each business function running independently
  • Consistent quality every time
  • One person manages the entire operation
  • Same approach can be applied to new business functions

Time to Stabilize

1 week for initial deployment, ongoing refinement

Long-term Prevention

  • Documented rules prevent behavior drift over time
  • Session naming and channel mapping SOPs for operational clarity
  • Quality monitoring catches issues before they reach end users
Case Study #4

Cloud Security Breach — 3 Servers Contained in 48 Hours, Zero Data Lost

Incident Response

!Problem

The call came in with the servers already breached. 3 GCP production servers, compromised. The client had hosted clients of their own on the same environment — meaning someone else's data was also at risk. They needed it contained without shutting down operations. Every hour it stayed open was another hour of exposure.

🔍Root Cause

Compromised GCP access credentials combined with insufficient network segmentation between hosted client environments. Once inside, the attacker had lateral movement paths across all three servers.

🔧Fix Implemented

  • Immediate breach containment — compromised instances isolated within hours
  • Forensic analysis to determine attack vector and full scope
  • All credentials and access keys rotated across the GCP environment
  • Systems separated so a breach in one cannot spread to others
  • GCP security groups, IAM roles, and firewall rules rebuilt from scratch
  • Monitoring set up to catch threats automatically
  • Full incident documentation for compliance and future reference

Outcome

  • Breach contained within 48 hours — no data loss, no hosted client impact
  • GCP environment restructured so this class of attack has no path forward
  • Client trusted the work enough to continue as a 6-month retainer after the incident
  • Business stayed online throughout — zero downtime during remediation

"Immediately fix a security breach on our Google Cloud Network server."

"Trust him with our entire network."

— Upwork Client Review

Time to Stabilize

48 hours for containment, 2 weeks for full hardening

Long-term Prevention

  • Ongoing security retainer following breach
  • Quarterly GCP security posture reviews
  • Monitoring and alerting covering all three servers
Case Study #5

2+ Year Engagement — Faster Website, Lower Costs, Ongoing Support

AWS / Infrastructure

!Problem

The infrastructure was running — but not well. Performance was degrading, costs were climbing, and there was no one in-house who understood the AWS environment well enough to fix it systematically. The client needed someone who could both diagnose what was wrong and own it for the long term. Not a consultant who'd write a report. Someone who'd actually stay.

🔍Root Cause

Unoptimized server configuration, missing caching layers, oversized instances running inefficient stacks, no performance monitoring baseline, and security groups not properly scoped.

🔧Fix Implemented

  • Server software optimized for speed
  • Caching systems added to speed up page loads
  • Database queries optimized — faster data retrieval
  • Cloud security tightened — minimal access, maximum protection
  • Automated backups and disaster recovery configured
  • Performance monitoring dashboard — visible metrics at a glance
  • 208+ hours of ongoing optimization over the engagement

Outcome

  • 2+ year engagement — faster website, lower costs, ongoing support
  • Page load times cut significantly after caching and stack optimization
  • AWS costs reduced through instance right-sizing — paying for what they actually need
  • Client's own words: "Exceptional work every time. Client-focused, conscientious, reputable, reliable."

"Exceptional work every time. Client-focused, conscientious, reputable, reliable."

— Upwork Client Review

Time to Stabilize

Initial optimization in 1 week, sustained improvement over 2+ years

Long-term Prevention

  • Ongoing performance monitoring with alerting thresholds
  • Monthly AWS cost and security review
  • Proactive infrastructure updates before deprecation issues
Case Study #6

Emergency Response — 10 Websites Cleaned, Reinfection Stopped Permanently

Incident Response

!Problem

10 WordPress sites across 4 accounts were infected — and staying infected. The client had already paid a high-rated security professional to clean them. It didn't hold. A week later the malware was back. At that point it wasn't just a technical problem anymore: it was a trust problem, a client-facing problem, and a problem that had no end in sight.

🔍Root Cause

Cross-account contamination through a shared hosting environment. The previous cleanup only addressed infected files (symptoms) — not the persistent backdoor PHP shells using shared server-level access between accounts as a propagation vector.

🔧Fix Implemented

  • Full file-level malware scan across all 10 sites and 4 server accounts
  • Identified and removed persistent backdoor shells that survived previous cleanup
  • Isolated accounts to cut cross-contamination pathways
  • Hardened WordPress configurations: file permissions, security keys, admin access
  • WAF rules deployed per account
  • File integrity monitoring and automated alerting configured

Outcome

  • All 10 sites clean — and stayed clean. Previous expert had failed twice. No reinfection after this.
  • Root propagation vector closed — not just the files, the pathway between accounts
  • Zero security incidents in the monitoring period post-cleanup
  • Client went from weekly firefighting to zero security overhead

"Resolved virus issues on 10 different WordPress sites across 4 accounts."

"Previous high ranking security dev couldn't solve it but he did."

— Upwork Client Review

Time to Stabilize

1 week for full remediation across all 10 sites

Long-term Prevention

  • File integrity monitoring across all accounts
  • Centralized alerting for suspicious file changes
  • Hardened account isolation to prevent future cross-contamination
Case Study #7

Online Store Recovery — Google Blacklist Removed, Traffic Restored in 3 Weeks

eCommerce Security

!Problem

The store was live but might as well have been offline. Google had blacklisted it — every visitor saw a red warning page before they could even land. Organic traffic gone. Paid ads wasted. Revenue dropping every day the flag stayed up. The owner didn't know how long it had been infected, couldn't tell customers what happened, and had no timeline for when it would be resolved.

🔍Root Cause

A vulnerable plugin and weak login credentials let attackers inject spam and redirects into the site's database — hidden in places that standard security plugins cannot reach.

🔧Fix Implemented

  • Complete file-level malware scan — not plugin-based, which misses embedded backdoors
  • Database audit: injected scripts removed from posts, options, and user tables
  • Spam injection and SEO redirect scripts fully removed
  • All plugins, themes, and WordPress core updated
  • wp-config.php hardened, file permissions corrected, admin access locked down
  • WAF rules deployed to block common attack patterns
  • Google Safe Browsing reconsideration request submitted post-cleanup
  • File integrity monitoring and automated vulnerability alerts configured

Outcome

  • Google blacklist removed — confirmed within 48 hours of cleanup submission
  • Site faster post-cleanup than it was before the hack (injected scripts removed)
  • Organic traffic fully recovered within 3 weeks
  • Zero reinfections — 12+ months clean with monitoring in place

"Over exceeded my expectations."

"Quickly dove into my security problem, found the issues, resolved them."

— Upwork Client Review

Time to Stabilize

Same day for critical cleanup, 72 hours for complete hardening

Long-term Prevention

  • Weekly automated security scans
  • Automated plugin vulnerability alerts
  • Monthly security posture review

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