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You will get a Custom Embedded Computer Vision Prototype (ESP32/Jetson)
Rising Talent
Rising Talent
Project details
Do you need to validate a computer vision concept on real hardware? I build optimized proof-of-concept (PoC) pipelines for ESP32-S3, NVIDIA Jetson, and Raspberry Pi.
I specialize in embedded vision, where memory limits, sensor behavior, and frame-rate constraints matter. Instead of generic scripts, you get efficient C++17/OpenCV code that runs reliably on your device.
What I can build:
ESP32-S3: Frame capture, thresholding, ROI logic, and simple blob/object tracking.
Jetson / Pi: YOLO/TFLite inference, detection, and tracking optimized for low power.
Automation: Zone monitoring and object-sorting logic.
What you receive:
Clean, documented source code, a reproducible build (CMake), and support to flash or deploy on your hardware.
If you want a focused, reliable embedded vision prototype to validate your idea or move toward production, I can help you build it quickly and correctly.
I specialize in embedded vision, where memory limits, sensor behavior, and frame-rate constraints matter. Instead of generic scripts, you get efficient C++17/OpenCV code that runs reliably on your device.
What I can build:
ESP32-S3: Frame capture, thresholding, ROI logic, and simple blob/object tracking.
Jetson / Pi: YOLO/TFLite inference, detection, and tracking optimized for low power.
Automation: Zone monitoring and object-sorting logic.
What you receive:
Clean, documented source code, a reproducible build (CMake), and support to flash or deploy on your hardware.
If you want a focused, reliable embedded vision prototype to validate your idea or move toward production, I can help you build it quickly and correctly.
AI Development Type
Deep Learning, Model TuningAI Tools
NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
C++What's included
| Service Tiers |
Starter
$300
|
Standard
$650
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | |
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Live Remote Deployment Support
+$150
Docker Deployment Container
(+ 1 Day)
+$200Frequently asked questions
About Christie
Senior Software Engineer | C++, Python, SQL & AI/Data Systems
Centurion, South Africa - 1:50 am local time
and AI/ML integration — including 8 years as a core developer on a complex
C++ enterprise production system where correctness, performance, and
reliability are non-negotiable.
That system was PLATO — a mature enterprise platform for real-time
multi-day planning, scheduling, and distribution control. That means I'm
comfortable in large legacy codebases, I understand performance trade-offs,
and I know how to deliver features without breaking what's already working.
More recently I've moved into Python backend development, cloud architecture,
and AI/ML integration. I've built a production-grade REST API (FastAPI,
PostgreSQL, Docker) aggregating financial transaction data across 8 payment
rails, and architected a multi-tenant SaaS backend on AWS (Lambda, API
Gateway, DynamoDB) with role-based access control and secure data
partitioning. I've also built real-time computer vision pipelines in C++
using YOLO and OpenCV — so I can go from cloud to edge when the work calls
for it.
What I bring beyond the technical skills:
→ I've run my own businesses. I understand that software has to solve real
problems and deliver value — not just be technically elegant.
→ I've acted as the bridge between clients, implementation consultants, and
engineering. I can translate business requirements into technical specs and
communicate clearly across both sides.
→ I work independently and take full ownership. I'm not someone who needs
hand-holding through a ticket queue.
I'm based in South Africa (SAST, UTC+2) and available for both async and
real-time collaboration.
What I can help you with:
- Backend APIs — FastAPI, Python, REST design, authentication, PostgreSQL
- Data pipelines — ingestion, normalisation, transformation, SQL optimisation
- C++ development — feature work, performance fixes, legacy codebase
improvements, system architecture
- AWS serverless — Lambda, API Gateway, DynamoDB, S3
- AI/ML integration — model integration, computer vision pipelines,
YOLO-based detection and tracking
- Database design — schema design, complex queries, migrations, MS SQL Server,
MySQL, PostgreSQL
Let's talk about what you're building.
Steps for completing your project
After purchasing the project, send requirements so Christie can start the project.
Delivery time starts when Christie receives requirements from you.
Christie works on your project following the steps below.
Revisions may occur after the delivery date.
Hardware & Sensor Audit
I review your hardware selection (ESP32, Jetson, Pi) and confirm camera compatibility. We define input resolution and basic constraints.
Pipeline Architecture
I design the processing flow (capture → preprocessing → detection/tracking) to ensure the system meets your performance goals.