Kamruzzman Shuvo
Head of Operations
A results-driven Software Engineer with professional experience in designing, developing, and maintaining software systems. Proficient in Python, Django, and ETL pipelines, with hands-on expertise in Machine Learning, Deep Learning, and Data Analytics. Skilled in delivering optimized solutions for complex business challenges, managing large-scale datasets, and implementing cutting-edge technologies like CI/CD pipelines, Kubernetes, and AWS. Passionate about contributing to innovative projects in software development, data science, and cloud-based systems.
PROFESSIONAL EXPERIENCE
Softzino Technologies – Software Engineer (Python) | April 2023 – Present
Apple Inc. – (Independent Contractor, Remote) | April 2023 – Present
MySoft Limited – Programmer and Coordinator | April 2022 – March 2023
eSystems Research and Development Lab (eSRD-Lab) – Programmer | October 2020 – April 2022
EDUCATION
North South University – Bachelor of Science in Computer Science and Engineering | January 2017 – December 2020
TECHNICAL SKILLS
Programming Languages:
Proficient in Python, PHP, JavaScript, and TypeScript for web development, backend scripting, and application logic.
Frameworks:
Experienced in using Django and Django REST for robust web applications, Flask for lightweight APIs, Angular for front-end development, Spring Boot for Java-based applications, CodeIgniter for PHP projects, and Bootstrap and JQuery for responsive design and UI enhancements.
Databases:
Skilled in designing, managing, and querying databases like MySQL, MongoDB, and PostgreSQL.
Data Modeling and Query:
Expertise in Star Schema and Snowflake Schema for data warehouse design, along with OLAP query development for analytical processing.
API Testing Tools:
Proficient in Postman, Rested Client, and HTTPie for testing and debugging RESTful APIs.
Version Control:
Experienced with Git for version control and proficient in using platforms like GitHub, GitLab, and BitBucket for collaboration and repository management.
Project Management Tools:
Skilled in managing tasks, sprints, and team collaboration using Jira and Trello.
Analytical Tools:
Experienced in creating data visualizations and dashboards using Tableau and Apache Superset for analytical insights.
Cloud Services:
Knowledgeable in AWS services, including IAM, networking, cloud computing, S3 buckets, AWS Management Console, and security best practices.
Deep Learning:
Proficient in designing and implementing RNNs, CNNs, ANNs, Transformers, and TensorFlow-based solutions, with expertise in Word Embedding techniques for NLP tasks.
Machine Learning:
Skilled in data visualization, predictive analysis, statistical modeling, and implementing machine learning algorithms for diverse use cases.
Operating Systems:
Comfortable with macOS, Linux, and Windows, ensuring versatility in various development and deployment environments.
CERTIFICATIONS
- Getting Started with Docker and Kubernetes + Hands-On
- Deep Learning Specialization
- Sequence Models
- Convolutional Neural Networks
- AWS Cloud Technical Essentials
- Structuring Machine Learning Projects
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Data Analysis with Python
- MySoft Health Data Analytics vInternship
KEY ACHIEVEMENTS
- Designed and optimized ETL processes for large-scale data integration and processing.
- Spearheaded new feature development on the vInternship platform, improving usability and functionality.
- Implemented CI/CD pipelines for Python projects deployed on Kubernetes, ensuring scalability and performance.
- Contributed to cutting-edge data analytics and machine learning projects, enhancing real-time data insights.