Sohel Mahmud

Computer Vision Developer

Motius GmbH•  November 2018 - May 2019

• Developed 3D image acquisition pipeline in the form of point clouds, depth and infra-red images with CamBoard pico flexx 3D sensor(RGB-D Camera) using C++ (OpenCV, PCL and Royale SDK). • Developed RGB image acquisition pipeline for Raspberry Pi 3 B+ prototype with multiple cameras using OpenCV. • Successfully manipulated suitable lighting conditions for Raspberry Pi 3 B+ Prototype multiple cameras. • Prepared RGB Image preprocessing pipeline with normalization, blurring, denoising, background segmentation, thresholding, image sharpening, etc. using OpenCV. • Constructed pipeline for Defect packet Classification model evaluation Tensorflow (Python).

Research Assistant

Max Planck Institute for Social Law and Social Policy•  April 2017 - December 2017

• Investigated the performance of statistical machine translation systems for interpreting questionnaires and responses in English-French language pair using Moses. • Developed with data preprocessing pipelines for SHARE data using Python NLTK, Scikit-learn and pandas. • Created and developed NLP/ML pipelines and models for neural machine translation • Developed Sequence-to-Sequence Network with Attention mechanism along with Recurrent Neural Networks using Python (PyTorch Framework) for neural machine translation. • Experimented different algorithms - Naive Bayes, SVM, SVD and PCA.

Data Analyst

KI Labs GmbH •  May 2017 - December 2017

• Developed ETL (Extract, Transform, Load) pipeline for data acquisition of different companies from online yellow pages using web scraping techniques for the customers using Python Scikit-learning and NLTK. • Successfully scraped and gathered more than 100,000 company profiles and information, and stored in a relational database (MySQL) using Python libraries - Scrapy and BeautifulSoup. • Proficiently Cleaned and preprocessed the company data.

PHP Developer

Bet It Best GmbH•  December 2015 - June 2016

• Implemented business logic for the domain of sports news and live score feeds. • Developed web-based applications using CodeIgniter PHP Framework (serverside), JQuery (frontend), and MySQL (backend), and nginx (web server).