
Arlene McCoy
About me
Professional Summary
Innovative and solutions-driven Software Developer with over 5 years of experience in full-stack development and cloud-based architecture. Passionate about building highly scalable web applications and delivering seamless user experiences. Adept at leading projects from conceptualization through deployment, with a strong focus on clean code, performance optimization, and agile methodologies.
Technical Skills
Languages: JavaScript (ES6+), TypeScript, Python, SQL
Frontend: React.js, Next.js, HTML5, CSS3/Tailwind
Backend: Node.js, Express, Django, RESTful APIs, WebSockets
Cloud & DevOps: AWS (EC2, S3, Lambda), Docker, Git, CI/CD pipelines
Databases: PostgreSQL, MongoDB, Redis
Professional Experience
Senior Software Developer
TechFlow Solutions | 2022 – Present
Spearheaded the architecture and full-stack development of a new B2B SaaS product, taking it from initial concept to a successful beta launch.
Engineered and integrated a highly responsive "smart chat" feature as the core module, utilizing WebSockets for real-time communication and optimizing the backend to handle high concurrent user traffic.
Reduced average API response times by 35% through aggressive database indexing and implementing a Redis caching layer.
Mentored junior developers and instituted automated testing standards that increased code coverage to 85%.
Software Developer
Innovate Logic | 2019 – 2022
Developed and maintained dynamic, client-facing web applications using React and Node.js.
Collaborated closely with the product and UI/UX teams to translate design mockups into functional, accessible features.
Built securely authenticated REST APIs to support mobile and web integrations.
Resolved critical production bugs and participated in regular code reviews to ensure maintainability and adherence to best practices.
Education
Bachelor of Science in Computer Science
University of Technology | 2015 – 2019
Projects
Real-Time Collaboration Dashboard: Built a lightweight, open-source dashboard that allows remote teams to share code snippets and collaborate in real-time.
Automated Data Pipeline: Created a Python-based script to automate the extraction and transformation of daily analytics reports
Work Experience
Education
Skills
Honors & awards
Informations
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Offered Salary$120 / day
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Experience time4 Year
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LanguagesFrench, English
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QualificationBachelor Degree
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GenderFemale
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Age30-35
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Phone+88 222 456 899
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Emailarlene-mccoy@fakeuser.com
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