Machine Learning Software Developer

FOUZAN UDDIN

Software Developer Seattle, WA USA 940-***-**** ***********@*****.***

SUMMARY

IT professional with 6 years of strong background in Java Backend and Fontend development, Data analytics, Restful services and Cloud services. Skilled in software development life cycle, machine learning, delivering IoT solution and database management. Seeking opportunities to contribute to innovative projects and drive organizational success in IT engineering roles.

EDUCATION

Master of Science in Computer Science and Engineering August 2022

University of North Texas, Denton, Texas, USA. GPA: 3.9/4.0

Relevant Coursework: Artificial Intelligence, Big Data, Data Science, Data Visualization, Machine Learning, Deep Neural Network, PyTorch, TensorFlow, Natural Language Processing, Information Retrieval.

Bachelor of Technology in Computer Science and Engineering April 2018

Jawaharlal Nehru Technological University, Hyderabad, India GPA: 3.8/4.0

TECHNICAL SKILLS

Programming languages: Java, Python, R, C++, Angular, AI/ML, .NET framework, React JS, JavaScript, HTML, MySQL, TypeScript, C, C#.

Tools Expertise: AWS (Cloud Formation, CloudWatch, Spring Boot, agile concepts, Device Farm, Connect), Scrum framework, CWC, RTTPM, AMU, TDD, BDD, Google Colab, Apache Kafka, PostgreSQL, SQS, SNS, Lambda, PyCharm, Tableau, Sonar, Microsoft Excel, App Sync, Aurora DB, Node, AWS Pinpoint, Azure, Jenkins, Terraform, APIs (REST, RPC), Ansible.

Cloud Services: Amazon EC2, Amazon S3, Azure, GPT series (GPT-3, GPT-3.5), Google Cloud Platform.

Logging & Monitoring Tools: Elasticsearch, Logstash, Kibana, Grafana, Nagios, Splunk, CloudWatch.

WORK EXPERIENCE

Software Development Engineer

Amazon.com Web Services LLC (Sept 2022 – Present)

•Played a key role in the design and implementation of components for Continuous Integration/Continuous Deployment (CI/CD) pipelines and APIs, ensuring seamless delivery of software updates.

•Leveraged cloud services, including AWS and Azure, to build scalable and reliable infrastructure solutions for various projects.

•Utilized monitoring tools such as CloudWatch, Elasticsearch, and Grafana to track system performance metrics, identify areas for optimization, and proactively address issues.

•Collaborated with cross-functional teams, including developers, testers, and project managers, to prioritize tasks, coordinate project timelines, and drive project success.

•Conducted code reviews and provided constructive feedback to team members, promoting code quality, best practices, and adherence to coding standards.

•Participated in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, to ensure effective communication and collaboration within the team.

Software Developer

Birlasoft, for Synchrony Financial Client (Sep 2018 - Dec 2020)

•Led software development projects focusing on Java backend development and database management for Synchrony Financial, a leading financial services company.

•Designed and developed fully Struts-based, Spring-based Java applications, ensuring high performance, scalability, and security.

•Collaborated closely with stakeholders to gather requirements, define project scope, and deliver solutions that met business needs.

•Implemented robust database solutions using MySQL, optimizing data storage and retrieval processes for improved efficiency.

•Conducted thorough testing and debugging of software applications to identify and resolve issues, ensuring high-quality deliverables.

•Provided technical guidance and support to junior team members, fostering a culture of knowledge sharing and continuous learning.

University of North Texas (Jan 2021- August 2022)

Student Assistant

Exam Proctor

Technology Engagement Specialist

Graduate Teaching Assistant

PROJECTS

California Wildfire Detection System:

•A real-time video with three categories: fire, start fire, and no fire, as well as the proportion of fire in the forest, was predicted using a dataset of 20000 photos. Tools & Libraries used: Python, Jupyter, Sklearn, Pandas, OpenCV, CNN

Data Visualization on Product Sales dataset (Tableau):

•User stories were adapted to build an appealing dashboard that gave actionable insights, and Tableau 2021.1 was used to generate 12+ dashboards for evaluating Sales data.

Hurricane Damage Assessment using Machine Learning:

•A Python-based project for predicting hurricane wind speeds and property damage. US hurricane data was taken for different years and the damage was assessed as low risk, high risk and moderate risk

•3 Layer Neural Network was tested, and it worked best among all other algorithms tested.

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