Milan is available for hire

Milan Marković

Verified Expert in Engineering

Software Developer

Location

Niš, Serbia

Toptal Member Since

January 8, 2016

Milan is a C++ developer with over 14 years of experience in image processing and multimedia. He has developed applications and image processing filters in frameworks like DirectShow and GStreamer. Also interested in machine learning and functional programming, Milan enjoys programming in C++, Rust, Erlang, OCaml/Haskell, and Scheme.

C++Linux Microsoft Visual Studio Arch Linux Ubuntu Rust Linux RHEL/CentOS Debian Linux Python C Haskell Erlang Agile Software Development PostgreSQL OCaml GStreamer Scheme

Portfolio

MotionDSP Inc.

Machine Learning, Computer Vision, Image Processing, NVIDIA CUDA, MATLAB, C++...

Experience

Linux - 20 years C++ - 15 years Rust - 8 years DirectShow - 4 years

Availability

Part-time

Preferred Environment

Visual Studio, Windows, Vim Text Editor, Git, GCC, Linux

The most amazing...

...project I've worked on was a real-time video geo-referencing solution developed at MotionDSP. It references each frame to GIS points on the ground.

Work Experience

Research Engineer

2008 - PRESENT

MotionDSP Inc.

Developed the core DirectShow infrastructure for a real-time video streaming and processing software.
Ported a huge codebase to Linux and several DirectShow filters to GStreamer.
Optimized the image processing and computer vision algorithms for real-time performance using SSE2 intrinsics, Intel's TBB, and NVIDIA CUDA.
Implemented several top-down parsers for various binary protocols, including parts of H.264.
Researched various topics, such as speckle imaging, image dehazing, and contrast improvement.
Studied relevant topics like nonlinear optimizations, multiple view geometry, and 3D reconstruction.

Technologies: Machine Learning, Computer Vision, Image Processing, NVIDIA CUDA, MATLAB, C++, Rust

Experience

ErrorProp.tgz

https://github.com/hepek/ErrorProp/

An error propagation library that I wrote in standard Haskell with no external dependencies needed. Using a simple symbolic differentiation system, it estimates error propagation through a non-linear system. It is implemented here to evaluate the Jacobian matrix, which calculates error propagation. Follow my GitHub link above for examples.

Education

2004 - 2010

MSc of Telecommunications and Information Technology Degree in Electronic Engineering

University of Nis - Nis

2007 - 2008

Exchange Program During Studies towards an MSc Degree in Electrical Engineering and Computer Science

IUPUI - Purdue School of Engineering - Indianapolis, IN

Skills

Libraries/APIs

DirectShow, Libraries/APIs

Tools

Emacs, Vim Text Editor, Microsoft Visual Studio, GCC, Git, Visual Studio, MATLAB

Languages

C++, Python, Scheme, C, Rust, OCaml, Haskell, Erlang

Frameworks

GStreamer

Paradigms

Functional Programming, Distributed Computing, Agile Software Development, Parallel Computing

Platforms

Ubuntu, Debian Linux, Linux, Linux RHEL/CentOS, Arch Linux, Windows, NVIDIA CUDA

Storage

PostgreSQL

Other

Vectorization, Image Processing, Computer Vision, Machine Learning, Libraries

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