Usman Raza Saifullah | Software Developer

Hi, I'm Usman.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving complex and challenging real-world problems.

About

I am a professional Electrical and Computer Engineer with 5+ years of experience in Embedded System Design, Embedded Firmware Development, Hardware and PCB Design, Embedded Linux, Real-time OS (RTOS), Communication stacks, SCADA, Automation systems, Digital signal processing and MATLAB. With a passion for innovation and a strong technical background, I have a proven track record of delivering high-quality solutions in a variety of industries, along with project management experience from scratch to fully developed products.

Languages: C, C++, Rust, Python, JavaScript, HTML/CSS, Bash
Databases: MySQL, PostgreSQL, MongoDB
Libraries: Numpy, Pandas, Librosa, Scikit-Learn, NLTK, OpenCV
Frameworks: Flask, Django, Vue.js, Node.js, Selenium, Keras, TensorFlow, PyTorch, Bootstrap
Tools & Technologies: Git, Docker, AWS, GCP, Azure, Heroku, JIRA

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

BHH Products

Embedded System Engineer

Developed hardware solutions, including firmware, schematic design, PCB layout, and integration with sensors and peripherals.
Created custom firmware for various Microcontrollers using C/C++ to handle various device functionalities such as communication protocols, data processing, and power management.
Designed and implemented user-friendly LVGL (LittlevGL) graphical user interfaces (GUIs) for embedded systems, optimizing for performance and touchscreen interaction.
Conducted thorough testing of hardware and firmware, including unit testing, integration testing, and debugging to ensure reliable and stable operation.
Integrated the system with Google Cloud to enable remote monitoring, data storage, and analytics, ensuring secure and scalable cloud communication.
Developed and deployed RESTful APIs using Flask to facilitate communication between hardware devices, cloud services, and front-end applications.
Collaborated with cross-functional teams to define system requirements, troubleshoot issues, and implement improvements in hardware, firmware, and software integration.
Optimized system performance by analyzing resource utilization, minimizing memory footprint, and ensuring real-time responsiveness for embedded applications.
Documented hardware designs, firmware architecture, and API specifications to maintain clear and comprehensive project records for future development and support.
Tools: ESP-IDF, STM32, Python, Flask, MySQL

February 2023 - Present | s-Hertogenbosch, Netherlands

Center for Language Engineering

Research Officer G-II

Research and development of an end-to-end Urdu Text-to-Speech system using deep learning.
Full stack development of an automated Urdu broadcast media content extraction and analytics system using Django framework.
Development of NLP module to generate phonetic stream from plain Urdu text for the production of natural and intelligible speech.
Development of statistical POS tagger for Urdu using different machine learning approaches.
Creation of installation package for the deployment of HMM based Urdu SAPI voice in Windows environment.
Implementation of Fernet encryption for Urdu lexicon.
Tools: Python, Django, Keras, Tensorflow, PyTorch, MySQL

December 2020 - October 2021 | Lahore, Pakistan

Powersoft19

Embedded System Developer

Embedded software development in C/C++ using Keil µVision® IDE, IAR Embedded Workbench, STM32CubeMX for Arm Cortex M4 STM32F429 TM4C123G, NRF52832, Infineon Cypress PSoC 62 Series Microcontrollers
Firmware development of Portable Gas Detectors, single-gas and multi-gas detectors
Firmware Development and feature upgradation of LTE Cat-M1, NB-IoT, and Ethernet based IoT Devices
Tools: C/C++, Keil µVision® IDE, IAR Embedded Workbench, STM32CubeMX, NRF52832, Infineon Cypress PSoC 62 Series Microcontrollers

February 2021 - February 2022 | Lahore, Pakistan

Projects

                
Speech Emotion Recognition
                  A CNN, LSTM and Attention based model to recognize human emotions.
                
AccomplishmentsTools: Scikit-Learn, Librosa, PyTorch
A CNN, LSTM and Attention based model is made using PyTorch.
The model is trained using RAVDESS dataset.
The algorithm is able to predict a total of 8 emotions with upto 96% accuracy.

Sentiment Analysis Deployment
                  An RNN based deployed model for sentiment analysis using AWS.
                
AccomplishmentsTools: Pickle, Scikit-Learn, NLTK, PyTorch, AWS Sagemaker, AWS Lambda, EC2, API Gateway, Endpoints
Designed an RNN in PyTorch and trained this model on movie reviews from IMDB.
Deployed its web application as user interface using AWS.

Face Generation
                  A deep convolutional generative adversarial network for generating faces of celebrities. 
                
AccomplishmentsTools: Pickle, Matplotlib, PyTorch
Implemented a DC-GAN which is trained on the faces of celebrities.
The trained model can generate new realistic faces.

TV Script Generation
                  An RNN based model trained on TV Scripts to generate new TV Scripts which can be used by production companies.
                
AccomplishmentsTools: Numpy, Pickle, PyTorch
Implemented a Recurrent Neural Network which is trained on many
                    existing TV scripts.
This algorithm generates new TV Scripts which can be used by a TV show production
                    company.

Income Classification Web App
                  A web application to predict whether a person earns more than a threshold or not.
                
AccomplishmentsTools: Pandas, Seaborn, Scikit-Learn, Streamlit, Heroku
Several classifiers from SkLearn library were used to predict
                    whether a person earns more than a threshold or not.
Best model was then deployed as a web application
                    using Streamlit on Heroku.

Predicting Bike-Sharing Patterns
                  A deep neural network for bike sharing company.
                
AccomplishmentsTools: Numpy, Pandas
In this project I Implemented a Deep Neural Network from scratch.
The algorithm predicts how many bikes are needed by the company to fulfil the customer requirements on any given
                    day by using the historical data.

Dog Breed Classifier
                  A fine-tuned CNN (VGG-16) to predict the breed of a dog.
                
AccomplishmentsTools:Seaborn, Scikit-Learn, PyTorch
I implemented a pre-trained Convolutional Neural Network (VGG-16) using
                    transfer learning, fine-tuned it by training on different dog breeds.
The algorithm can classify 113 dog breeds efficiently.

Bill Projection
                  A linear regression model hourly/monthly bill projection.
                
AccomplishmentsTools: Matlab
This project takes Date, Time, PV, and Temperature as input data and with the help of machine
                    learning algorithms predicts the monthly residential load demand, which is then further used to calculate the bill
                    of that certain month.

NMRware
                  A GUI based software package for Linux for Metabolite Identificatoin.
                
AccomplishmentsTools: Shell Scripting
This software contains
                    the tools for Metabolite Identification. This software was designed using shell programming and is being
                    currently open sourced.

Publications

BHH Products

Embedded System Engineer

Developed hardware solutions, including firmware, schematic design, PCB layout, and integration with sensors and peripherals.
Created custom firmware for various Microcontrollers using C/C++ to handle various device functionalities such as communication protocols, data processing, and power management.
Designed and implemented user-friendly LVGL (LittlevGL) graphical user interfaces (GUIs) for embedded systems, optimizing for performance and touchscreen interaction.
Conducted thorough testing of hardware and firmware, including unit testing, integration testing, and debugging to ensure reliable and stable operation.
Integrated the system with Google Cloud to enable remote monitoring, data storage, and analytics, ensuring secure and scalable cloud communication.
Developed and deployed RESTful APIs using Flask to facilitate communication between hardware devices, cloud services, and front-end applications.
Collaborated with cross-functional teams to define system requirements, troubleshoot issues, and implement improvements in hardware, firmware, and software integration.
Optimized system performance by analyzing resource utilization, minimizing memory footprint, and ensuring real-time responsiveness for embedded applications.
Documented hardware designs, firmware architecture, and API specifications to maintain clear and comprehensive project records for future development and support.
Tools: ESP-IDF, STM32, Python, Flask, MySQL

February 2023 - Present | s-Hertogenbosch, Netherlands

Skills

Languages and Databases

Python

Go

C++

Shell Scripting

HTML5

CSS3

JS

MySQL

PostgreSQL

Libraries

NumPy

Pandas

Matplotlib

Seaborn

Plotly

Scikit-Learn

Librosa

OpenCV

NLTK

Frameworks

Vue.js

Node.js

Django

Flask

Bootstrap

Keras

TensorFlow

PyTorch

Selenium

Other

Git

AWS

Jira

Slack

Streamlit

Heroku

Certificates

IBM Machine Learning with Python

IBM Data Visualization with Python

Education

                  Information Technology University of Punjab
                
Lahore, Pakistan

                  Degree: Masters in Computer Engineering   
                  
                  Specialization: Artificial Intelligence (AI)
                  
                  Year: 2023 - 2025
                
                    Relevant Courseworks:
                    
Computer Vision
Deep Learning
Machine Learning
Cloud Computing and Big Data Analysis
Embedded AI
Advanced Computer Architecture
Real Time Operating Systems

                  University of Engineering and Technology, Lahore
                
Lahore, Pakistan

                  Degree: Bachelor of Electrical Engineering      
                  
                  Specialization: Electrical Power Systems and Embedded Systems
                  
                  Year: 2016 - 2020
                
                    Relevant Courseworks:
                    
Data Structures and Algorithms
Control Systems
Microprocessor Systems
Machine Learning
Database Engineering
Computer Networks
Computer Architecture

                Government College University, Lahore
              
Lahore, Pakistan

                Degree: Intermediate
                
                Specialization: Pre-Engineering
                
                Year: 2013 - 2015
              
                    Relevant Courseworks:
                  
Physics
Chemistry
Mathematics
English

Contact

(+92) 316 4044 136

usmanrazasaif@gmail.com

github.com/usmanrazasaif

linkedin.com/in/usmanrazasaif/