Stack Developer Data Science

SUMMARY

West Berlin New jersey

************@*****.***

MOBARAK ALI 856-***-****

Senior Full Stack Developer

With over 10 years as a Senior Full Stack Developer, I bring deep expertise in Python, cloud technologies, and containerization. My focus is on building scalable backends, cloud-native applications, and CI/CD pipelines, leveraging frameworks like Django and Flask for the backend and React and AngularJS for the front end. I’m highly skilled in AI/ML with TensorFlow, PyTorch, and data science tools, crafting predictive models and data-driven insights. Proficient across AWS, Azure, and GCP, along with Docker, Kubernetes, Terraform, and Ansible, I streamline cloud infrastructure for optimized performance. I’m passionate about innovative solutions that align with business goals and am committed to delivering high- quality, impactful software solutions.

SKILLS

Languages: Python (Django, Flask, FastAPI, Nameko, Dash, Scrapy), JavaScript (React, Node.js, AngularJS, TypeScript), SQL, NoSQL, C/C++, Java, PHP, TypeScript

Frameworks & Libraries: Django, Flask, FastAPI, Express.js, React, AngularJS, Node.js, Celery, Nameko Data Science & ML: Pandas, NumPy, NLP, Matplotlib, Seaborn, TensorFlow, PyTorch, Keras, Scikit-learn, Neural Networks, & Model Optimization

Cloud & DevOps: AWS (EC2, Lambda, S3, DynamoDB, RDS), GCP, Azure, Docker, Kubernetes, Terraform, Ansible, Jenkins, CloudFormation

Version Control Systems (VCS): Git, GitHub, Bitbuckets Testing: PyTest, Integration & System Testing, Load & Performance Testing, New Relic Infrastructure Provisioning: Terraform, CloudFormation, Ansible Databases: PostgreSQL, MySQL, MongoDB, DynamoDB

Other Tools: Git, RESTful APIs, GraphQL, RabbitMQ, Kafka, ELK Stack, Jira, WebSockets, Redis, Airflow Message Queueing: RabbitMQ

PROFESSIONAL EXPERIENCE

Cisco March 2024 - Present

Senior Full Stack Developer

I oversaw the creation and management of a solid platform that was highly responsive and performed well using Django and React and working with a productive team.

To develop and apply machine learning models, TensorFlow, and sci-kit-learn were used and the resultant predictive solutions enhanced process efficiency, ROI, and customized experience. Manages tasks asynchronously with Celery to improve team processes and the scalability of the system. By using TypeScript, I built user-friendly and intuitive interfaces and real-time communication systems that helped assure their customers with smooth navigation.

For efficient microservice interactions, RESTful APIs and a GraphQL front-end were developed and optimized (with FastAPI) to achieve flexible data access and front-end to back-end cooperation. Simplified difficult data problems, turned raw data into useful insights, and made well-informed decision-making possible with Pandas.

I built upon this with Redis caching, scalable RabbitMQ communications, and microservices through Nameko to ensure maintainability, performance, and reliability in distributed systems. I’ve integrated the third-party APIs for analytics and payment gateways such as Google Analytics, to improve platform functionality and provide core business insights.

Provided mentorship and code reviews to junior engineers, to create a growth-oriented cooperative atmosphere. For consistent deployments across environments, Docker was introduced and Jenkins CI/CD pipelines were established.

I have also implemented DRF-based authentication and permission to give safe and effective platform access and kept really good documentation to be able to easily navigate around the API. Git is used for managing versions on each team and PyTest is for automated testing to boost code quality and reduce manual testing burden.

Thoughtworks Jan 2018 - March 2024

Full Stack Developer

I used Flask to create dynamic, responsive web apps that are user-centered and that meet clients’ needs with AngularJS. Monitoring tools and alerts implemented improved system reliability; web scraping of data collection and analysis was automated with Scrapy.

I oversaw the migration of deprecated systems into scalable Django-based architecture that generated improved performance and compatibility.

I worked with cross-functional teams to come up with better requirements for new features to ensure the project was on target.

I used pandas and Apache Airflow to build and improve on unique data analysis pipelines that helped save a 40% reduction in processing time and delivered useful insights for important business decisions. We created and designed RESTful APIs in order to facilitate the communication of software components efficiently. The deployment of containerization and orchestration on Docker and Kubernetes has been done for smooth deployment and scalability.

I used Seaborn and Matplotlib to create data visualizations so the stakeholders would have the information necessary to make decisions.

I improved web application security and included Elasticsearch in the ELK stack for effective log handling and analysis. NumPy enhances performance in mathematical modeling and machine learning to help increase the value of stakeholders. The combination of WebSockets and TypeScript that enables the possibility to have real-time updates and alerts has the potential to grow the levels of user engagement.

We used RabbitMQ to provide reliable distributed messaging, that is fault-tolerant across platforms. I deployed highly accessible apps on AWS in close collaboration with DevOps, using CI/CD pipelines with Docker, Git, and Jenkins to secure and make the system stable.

Improving user experience includes cross-platform interoperability, full API and system documentation, and standard responsive design principles.

Dataprise Aug 2014 - Jan 2018

Python Developer

I worked with front-end developers in order to incorporate backend functions into React and Angular Interfaces to enhance user experience overall.

We used Django and Flask to build RESTful APIs and backends so that scalable, fast Python applications had to be ensured. We did backend development using PHP frameworks like Laravel or Symfony and migrated old PHP apps to a more efficient abode.

Provided creative, Python-based solutions to address difficult health technology problems, all the while complying with project specifications.

For asynchronous task management, I was using Celery, and working with task queues to exploit the system performance and data processing.

In order to make decisions using organized data from multiple sources, we used Scrapy and BeautifulSoup to extract data efficiently.

Inserted third-party APIs smoothly into Python-based programs to add functionality and reduce overhead. Collaborated with QA in creating test plans based on Python and structured testing, ensuring a strict quality requirement was maintained.

Using HIPAA-compliant security features, healthcare apps were designed and Django Rest Framework was used to develop user authentication with secure access control.

I organized knowledge-sharing sessions and was a mentor to team members on Python best practices to foster a positive, growth-oriented team atmosphere.

The use of Git processes for version management was able to aid in smooth continuous development with Python development teams.

Creating concise and Python-focused documentation for coding (standards) and APIs, streamlines onboarding and knowledge transfer.

For automated, background processing lock grabbing that is scalable and effective, Python-centric solutions such as Terraform and Django background tasks were utilized. EDUCATION

Bachelors of Technology (CS), 2014

RGPV University

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