Client Work/Offerings & Engagements

How We Can Work Together

I provide dedicated contract engineering and technical consulting for international teams. No fabricated agency markups or hidden fees—just senior craft and straightforward milestones.

PACKAGE 01

High-Performance Web & WordPress Engineering

Custom web applications and clean WordPress architectures that load instantly and don't break under traffic.

Who This Is For:

›Agencies and companies with a slow, bloated WordPress site that needs a modern rebuild.
›Design studios who need an engineer capable of turning Figma files into 100% faithful, responsive code.
›Publishers who want bespoke Gutenberg editing workflows without 50 conflicting third-party plugins.

Deliverables & Artifacts:

✔Custom, lightweight WordPress theme or Next.js frontend with 95+ mobile Lighthouse score.
✔Semantic, accessible HTML and clean CSS tailored to your exact brand guidelines.
✔Edge caching setup (Cloudflare / Vercel) and database query optimization.
✔Full video walkthrough and handoff documentation for your content team.

Typical Engagement Workflow:

STEP 01

Audit & Architecture

Reviewing your current bottlenecks, database query count, and design specs.

STEP 02

Clean Build Sprint

Developing modular components with strict typing, responsive states, and zero bloat.

STEP 03

Content Migration & Cache Tuning

Importing existing posts, verifying redirects, and tuning Redis and edge caching.

STEP 04

Launch & Handoff

Zero-downtime DNS cutover with monitoring and team training.

Timeline: Typically 3 to 6 weeks depending on page count and custom block complexity.

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PACKAGE 02

Custom Software & API Engineering

Disciplined backend services, internal tooling, and clean integrations that connect your systems seamlessly.

Who This Is For:

›Startups needing a dependable engineer to build or refactor core REST/GraphQL endpoints.
›Operations teams struggling with manual spreadsheets who need automated internal tools.
›Product teams looking for reliable contract engineering to accelerate a milestone.

Deliverables & Artifacts:

✔Type-safe backend services with predictable error handling and validation.
✔Clean relational database schema with indexed queries and migrations.
✔Interactive API documentation and comprehensive unit/integration test coverage.
✔Containerized deployment scripts (Docker) ready for your cloud environment.

Typical Engagement Workflow:

STEP 01

Requirements & Data Modeling

Mapping entity relationships, access controls, and boundary conditions.

STEP 02

API Development & Staging

Iterative development with live staging endpoints for client review.

STEP 03

Security & Load Testing

Validating input bounds, rate limits, and stress testing heavy endpoints.

STEP 04

Deployment & Observability

Deploying to production with health checks, error logging, and alerts.

Timeline: Typically 4 to 8 weeks for dedicated modules or standalone tools.

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PACKAGE 03

AI / ML & Computer Vision Solutions

Practical edge vision pipelines, image processing, and machine learning models tailored to real hardware.

Who This Is For:

›Hardware and manufacturing teams needing real-time visual inspection on edge boards (Jetson, Raspberry Pi).
›Companies wanting to automate image classification, defect detection, or document parsing.
›Founders needing a fast, technically sound feasibility prototype before raising capital.

Deliverables & Artifacts:

✔Custom dataset augmentation pipeline resilient to real-world lighting and noise.
✔Trained and evaluated model (PyTorch / YOLOv8 / OpenCV) with benchmarked metrics.
✔Quantized edge engine (TensorRT / ONNX) with low latency and low thermal footprint.
✔Working API endpoint or local daemon with clean logging and error fallback.

Typical Engagement Workflow:

STEP 01

Feasibility & Data Assessment

Evaluating sample images, camera specs, lighting swings, and latency limits.

STEP 02

Data Curation & Baseline Model

Augmenting dataset and establishing clear quantitative baseline metrics.

STEP 03

Model Optimization & Quantization

Tuning architecture and applying INT8/FP16 quantization for edge hardware.

STEP 04

Hardware Integration & Benchmarking

Testing under live camera streams and logging accuracy.

Timeline: Typically 4 to 8 weeks for a scoped proof-of-concept or edge deployment.

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PACKAGE 04

Performance Audits & Technical Advisory

Honest, deep-dive reviews of your existing web code, database queries, and architectural bottlenecks.

Who This Is For:

›Founders and product managers preparing for a major product launch or investor demo.
›Teams dealing with mystery server crashes, high cloud bills, or abysmal mobile scores.
›Non-technical founders who need an independent technical opinion before committing to a development quote.

Deliverables & Artifacts:

✔Detailed written audit report with prioritized recommendations (quick wins vs. deep fixes).
✔Core Web Vitals breakdown and database query bottleneck profile.
✔Code review of architectural patterns, security oversights, and maintainability risks.
✔90-minute live video call to walk through the findings and answer your team's questions.

Typical Engagement Workflow:

STEP 01

Access & Observation

Non-destructive read access to repository, staging environment, and telemetry logs.

STEP 02

Deep Profiling

Running automated and manual profiling on network payloads, query logs, and DOM depth.

STEP 03

Synthesis & Action Plan

Writing pragmatic, actionable fixes with estimated effort and business impact.

STEP 04

Consultation Call

Discussing recommendations with your stakeholders and technical leads.

Timeline: Typically 3 to 5 business days from receiving repository access.

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