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Hi there, I'm Davor πŸ‘‹

About me

As a Computer Vision Engineer at Finbet doo, I work with Python, C++, Go, OpenCV, PyTorch, and PostgreSQL to develop and deploy innovative solutions for image and video analysis, object detection, and face recognition. I work with a cross-functional team of engineers, data scientists, and product managers to deliver high-quality products that meet the needs and expectations of our clients.

I have a strong engineering background, with a Bachelor of Engineering in Electrical Engineering and Computing and a Master's degree in Data Science at Singidunum University. I have multiple certifications from Oracle in database design and programming, and I have previous experience as a Data Scientist at dataHacker.rs and a Oracle Database Developer at Joint stock company "Elektroprivreda Srbije".

I am passionate about applying data science and computer vision to solve real-world problems and create value for businesses and society. I am always eager to learn new technologies and tools, and to collaborate with other professionals and experts in the field. I am motivated by challenges and opportunities to improve my skills and knowledge, and to contribute to the advancement of the domain.


Technologies

πŸ”¨ I’m currently working with ...

Programming Languages
Advanced Working knowledge Working knowledge
Python Go C++
Database

PostgreSQL Redis MySQL MongoDB Oracle

More

PyTorch TensorFlow Keras MXNet SKLearn OpenCV RabbitMQ RESTAPI


Some of my work

My work

Contact me πŸ“ž

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Github Stats

Davor Jordacevic's Projects

seqface icon seqface

SeqFace : Making full use of sequence information for face recognition

serpscrap icon serpscrap

SEO python scraper to extract data from major searchengine result pages. Extract data like url, title, snippet, richsnippet and the type from searchresults for given keywords. Detect Ads or make automated screenshots. You can also fetch text content of urls provided in searchresults or by your own. It's usefull for SEO and business related research tasks.

siterank icon siterank

A python script to get alexa global rank for a given website or domain

sklearn-porter icon sklearn-porter

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

slideview icon slideview

An awesome sliding button library for Android.

smart-agriculture-using-iot-and-machine-learning icon smart-agriculture-using-iot-and-machine-learning

The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure

sparseml icon sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

sparsify icon sparsify

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

stacks-cli icon stacks-cli

πŸ“Š Analyze website stack from the terminal πŸ’»

superglue-pytorch icon superglue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

syndata-generation icon syndata-generation

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

tilix icon tilix

A tiling terminal emulator for Linux using GTK+ 3

torch2trt icon torch2trt

An easy to use PyTorch to TensorRT converter

track-anything icon track-anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.

tresnet icon tresnet

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

ultrajson icon ultrajson

Ultra fast JSON decoder and encoder written in C with Python bindings

ultralytics icon ultralytics

YOLOv8 πŸš€ in PyTorch > ONNX > CoreML > TFLite

weatherdatawwo icon weatherdatawwo

This package is used to retrieve and transform historical weather data from www.worldweatheronline.com into pandas dataframe and csv.

webtech icon webtech

Identify technologies used on websites.

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