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Schedule Interview NowMy name is Sacha D. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: JavaScript, Python, C++, GitHub, Image Processing, etc.. I hold a degree in Master of Computer Applications (MCA). Some of the notable projects I’ve worked on include: Dog Face Recognition, Mediapipe head pose estimation Python or JS, YOLO8 The basic functions to start!, Licence Plate Recognition API, Encrypt & Decrypt AES algorithm between python3 and javascript, etc.. I am based in Recife, Brazil. I've successfully completed 6 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
2 years
1 Year
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Potentially possible
Mercado Livre
State of the Art Dog Face Recognition using a siamese network Tensorflow/Keras to detect,align and recognize Dog Face with high accuracy!
Head pose estimation for liveness detection process in python or JavaScript (browser). Ising MediaPipe API
When you start using YOLO8 you loose a lot of time to find the basics codes to get the bounding boxes, the confidence , the classes or to run a yolo model with onnx runtime! This is a tutorial of the basic function and optimization ,working with YOLOv8!
API For Licence plate recognition for Brazil Car and Moto using YOLO, DNN
Dog Breed recognition in images, detect 120 breeds! With a confidence of more then 90%, one of the best system. Writen in Python th model was compiling in COLAB.
Master of Computer Applications (MCA) in Computer science
1990-01-01-1994-01-01