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Bonjour, this is Sazzad...
Bonjour, this is Sazzad...
I'm a Senior Software Engineer in R&D, working for large fintech enterprises in California, USA, and partnered on projects with UNICEF and UNDP. I research, design, and develop intelligent systems in a distributed cloud-native architecture with high security, performance, and scalability. I also lead DevOps and design CI/CD pipelines for mission-critical applications. Additionally, as a Research Engineer, I worked in the CyberCraft Lab.
I did my BS with a dual major in Computer Science and Software Engineering at AIUB. Here, I also served as RA and TA in AI & ML for over a year. Under the supervision of Prof. Dr. Md Mahbub Mishu, part of my undergrad thesis was published in ICCA.
My expertise includes, but is not limited to AI, ML, and SDE technologies like Java, Python, JavaScript, React, PostgreSQL, MongoDB, Docker, Kubernetes, AWS, Tensorflow, Keras, scikit-learn, and more. My works are serving over 150 enterprises like Jack Henry, Fiserv, Alkami, Q2, WESCOM, and more.
Collaborations
Specializations, Courses & Certificiations
Deep Learning Specialization by DeepLearning.AI
Research Publications
Title: An Automated Model using Deep Convolutional Neural Network for Retinal Image Classification to Detect Diabetic Retinopathy
Authors: Md Sazzad Hossen, Alim Ahmed Reza, and Mahbub C. Mishu
Proceedings of the International Conference on Computing Advancements (ICCA)
Projects
Experience
Software Engineer (L4)
2020 - Present
Research & Development
Dynamic Solution Innovators (DSi)
Software Developer
Cybercraft Labs
Ahsanullah University of Science & Technology
Research Assistant
September 2019 - May 2020
American International University-Bangladesh (AIUB)
Teaching Assistant
(Artificial Intelligence)
May 2019 - December 2019
Department of Computer Science
American International University-Bangladesh (AIUB)
Education
Computer Science & Software Engineering, BS
American International University - Bangladesh (AIUB)
Thesis Supervisor: Dr. Mahbub Mishu (Head & Assistant Prof, Dept. of Comp Sci)
Project: xHUED: Secured AI Application for Instant Fashion Generation in Browser
Notable Courses: Computer Vision, Data Mining, Artificial Intelligence, Research Methodology, Advanced Topics in Programming
Areas of Expetise
Programming Languages: Java, Python, Javascript, C/C++
Databases: PostgreSQL, MongoDB, DynamoDB, neo4j
Frameworks: Spring Boot & Spring EcoSystem, Flask
Web Technologies: React, Bootstrap, HTML, CSS
DevOps: Docker, Kubernetes, Jenkins, Ansible, Git & Github,
Cloud: Amazon Web Services & Microsoft Azure
Machine Learning: Tensorflow, Keras, Pytorch, Scikit-learn, Panda, Matplotlib
Software Development: Design Patterns,
AI & ML: SVM, CNN, RNN, LSTM, GAN, VAE, Transformer, Foundation Models, & Language Models
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