Back-end Engineer

Summary

As a data engineer, I've applied machine learning to significantly enhance facial recognition systems. Leveraging Python's robust libraries like TensorFlow and OpenCV, I developed and fine-tuned convolutional neural networks (CNNs) to improve the accuracy and speed of facial recognition algorithms. By training models on diverse datasets and utilizing transfer learning techniques, I achieved substantial improvements in identifying faces across varying conditions and environments.

In my coding practices, Python has been instrumental in creating clean and efficient codebases. I adhere to best practices such as PEP 8 guidelines, ensuring readability and maintainability. Through modularization and object-oriented programming (OOP) principles, I've structured code for scalability, making it easier to integrate new features and maintain code hygiene over time.

In database management, I excel in designing and optimizing databases using SQL. I've developed normalized schemas that enhance data integrity and query performance. Utilizing SQL's capabilities, I've implemented complex queries, stored procedures, and triggers to automate data manipulation and ensure data consistency across applications.

Connecting diverse systems seamlessly is crucial in modern data engineering. I've integrated APIs to establish communication between different endpoints, enabling efficient data exchange and synchronization. Whether it's fetching real-time data from external sources or orchestrating workflows between applications, I've leveraged RESTful APIs and tools like Flask or FastAPI in Python to build robust and scalable API endpoints.

My approach to data engineering revolves around innovation and continuous improvement. By integrating machine learning, maintaining clean Python codebases, optimizing SQL databases, and leveraging APIs, I strive to enhance data-driven solutions and deliver impactful results in the field of technology.

Expectations

In my next position, I am eager to find an environment that encourages self-advocacy and welcomes innovative thinking. Collaboration is a priority for me, so I am seeking a role where I can contribute effectively as part of a team while also thriving independently. Clear and open communication with my team lead and manager is essential; I value the opportunity to discuss challenges, share insights, and find effective solutions.

Continuous growth in AI is crucial to me. I am looking for a role that supports ongoing learning and professional development, ensuring I continue to evolve and grow. It's important that my time is respected and that my perspectives are valued in decision-making processes. Recognition of my contributions is also something I seek in a job.

Additionally, I appreciate a supportive work culture where my manager or team lead regularly engages with me, offering guidance and feedback. This helps to align my efforts with team objectives and fosters a collaborative and productive work environment.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• AVA
• Python
• Ruby
• C#
• PHP
• Node.js
• JavaScript
• TypeScript
• Scripting Languages
• Perl
• Shell Scripting
• Bash
• Web Frameworks
• Java
• Spring
• Hibernate
• Django
• Flask
• Ruby On Rails
• Express.js
• Koa.js
• Database Management
• Relational Databases
• MySQL
• PostgreSQL
• Oracle
• NoSQL Databases
• MongoDB
• Cassandra
• Redis
• API Design
• Development
• RESTful APIs
• GraphQL
• API Security
• OAuth
• JWT
• Server-Side Architecture
• Microservices Architecture
• Serverless Computing
• AWS Lambda
• Azure Functions
• Scalability
• Performance Optimization
• Version Control Systems
• Git
• GitHub
• GitLab
• Bitbucket
• Containerization
• Virtualization
• Docker
• Kubernetes
• Cloud Platforms
• Amazon Web Services
• AWS
• Microsoft Azure
• Google Cloud Platform
• GCP
• Familiarity With Services Like EC2
• S3
• RDS
• Etc
• Authentication
• Authorization
• JSON Web Tokens
• Identity Management Systems
• Testing
• Debugging