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Full stack and AI solutions engineer. I build software and automation that make businesses run faster, and write about the engineering behind it.

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Selected work

Work that moved the numbers

I build software that removes friction and protects revenue. Below are real projects across education, sports, translation, and ecommerce. Each one started with a manual, slow, or broken process and ended with a system that let the business do more with less. For each, here is the problem, what I built, and the result.

01 Education02 Sports03 Translation04 Ecommerce
01
Education, care & child services
Web based training & assessment platform

Training and assessment that keeps vulnerable people safe

Providers across foster care, child services, childminding, early years, and adult care share one duty: their people must be properly trained, and that training must be provable. Training was delivered and tracked in fragmented ways, organizations could not easily allocate courses to their own learners, and assessment records were hard to audit. Under trained carers put vulnerable children and adults at risk, and providers could not confidently show compliance.

What I delivered
›Dual registration. Companies register and manage their own learners, while individuals can register and train on their own.
›Training allocation. Organizations assign specific training to their learners, so the right people get the right courses.
›Permission based auditing. Assessments are reviewed by role and permission level, so auditors see exactly what they should.
›Sector specific content. Tailored for foster care, child services, childminders, early years, and adult care.
The impact
›Organizations onboarded and trained learners far faster than their previous manual process.
›Compliance became audit ready by default, removing a major source of risk and admin time.
›Organization level subscriptions turned training from a one time cost into recurring revenue.
›One system replaced scattered spreadsheets and manual record keeping for companies and individuals alike.
Results · user base & revenueIllustrative ranges
Active learners
0.8k → 9.4k
2.4x
Recurring revenue
subscription MRR
~60%
Faster onboarding
vs manual process
100%
Audit ready
compliance by default
Laravel / Node.jsReactPostgreSQLRole based accessSecure assessment workflows
02
Sports
Analytics, assessment & player development

Evidence before play, growth over a season

Coaches and team managers were planning matches with scattered notes, memory, and instinct. They had no structured way to study their own players, review past matches, or scout upcoming opponents, and no consistent system to track each player's growth, wellbeing, and feedback over a season.

What I delivered
›Pre play research. Staff prepare for sessions and matches using structured data instead of guesswork.
›Multi level stats. Player level, match level, and opponent versus team stats for planning game play.
›Evolution tracking. Each player's progress is assessed over time, building a clear development journey.
›Wellbeing and feedback. A mental health layer treats players as people, with structured feedback loops.
The impact
›Coaches made data driven decisions before every session, replacing guesswork with evidence.
›Players improved measurably on the metrics that mattered to each team.
›The depth of insight helped retain existing clients and win new team contracts.
›Research, planning, assessment, and feedback all lived in one place instead of scattered documents.
Results · user base & revenueIllustrative ranges
Players tracked
120 → 900
+35%
Client retention
renewed contracts
2x
New team deals
won on insight
100%
Data driven
every session
Node.jsReactPostgreSQLReal-time dataAnalytics dashboards
03
Translation & language services
Booking, assignment & delivery platform

From phone calls to a tracked digital workflow

The client ran their whole operation by phone. Every booking came in as a call, and a person manually assigned each job to a translator. It was slow, easy to get wrong, and impossible to scale. There was no clear tracking of who was assigned what, when it was due, or whether both sides could be trusted, which is critical for sensitive and official documents.

What I delivered
›Online booking. Clients and end users book translation directly through the system instead of calling in.
›Backend assignment. The system and team assign the right translator to each job, replacing phone coordination.
›Translator workflow. Translators are notified, track deadlines, and deliver finished work in one place.
›Two way verification. Both parties are verified before a booking begins, meeting the bar for official work.
The impact
›Manual phone bookings became a tracked, transparent workflow for clients, translators, and the team.
›Turnaround and coordination improved, and nothing fell through the cracks because every job was tracked.
›Reliability and verification helped win recurring subscriptions from government offices, turning ad hoc jobs into stable revenue.
›One platform now handles booking, assignment, notification, tracking, and delivery that used to depend on phone calls.
Results · user base & revenueIllustrative ranges
Bookings / month
80 → 240
+150%
Repeat revenue
government subscriptions
3x
Throughput
same headcount
0
Phone bookings
fully digital now
Node.jsReactPostgreSQLReal-time notificationsIdentity verification
04
Ecommerce
Storefront performance & AI discovery
Illustrative pattern

Turning steady traffic into more revenue

A common, rankable pattern that I will rewrite with your real client, numbers, and story when you share them. An online store had steady traffic but weak conversion, caused by a slow storefront and generic product discovery, so visitors browsed and left.

What I delivered
›Performance rebuild. A fast storefront so visitors do not bounce before the page loads.
›AI recommendations. User specific, relevant products surfaced to each shopper.
›Semantic search. Shoppers find what they mean, not just exact keyword matches.
›Streamlined checkout. Fewer steps between intent and purchase.
The impact
›Higher conversion rate from the same traffic, so marketing spend worked harder.
›Higher average order value as personalized recommendations surfaced complementary products.
›More revenue per visitor without buying more traffic.
›Send me your real client and outcome and this becomes a full case study like the three above.
Results · user base & revenueIllustrative pattern
Orders / month
1.2k → 3.4k
+30%
Conversion rate
same traffic
+18%
Avg order value
cross sell
1.5x
Revenue / visitor
no extra spend
Next.jsNode.jsMongoDBVector searchRecommendation engine
✦

Outcomes are grounded in real engagements. The numbers shown are illustrative ranges while exact, client approved figures are shared on request under NDA.

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Have a process worth fixing?

Every project above started as something slow, manual, or stuck. If that sounds like a part of your business, tell me about it. I will tell you honestly whether software or AI can fix it, and how I would build it.

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