N .
Full-Stack Software Engineer | Java Python C++ | React.js TypeScript Node.js | Cloud & DevOps (AWS Docker Kubernetes Jenkins) | AI & Machine Learning | API & Microservices Development at Smart Bridge
Based in New York, United States
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Seniority
Other
Department
Other
Location
New York
Industry
IT System Custom Software Development
Company size
42
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n•••••••@smartbridge.tn
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Background
About N .
I am a full-stack software engineer with expertise in Java Python C++ and API development. I design and develop scalable high-performance applications while focusing on cloud computing DevOps automation and front-end technologies like React.js and TypeScript. I work in agile environments and coordinate with cross-functional teams to build efficient and reliable software solutions. Skills: Python | JavaScript | Java | TypeScript | C++ | C# | React.js | Redux | CSS | jQuery | Node.js | MongoDB | SQL | PostgreSQL | AWS | SaaS | CI/CD | Jenkins | Docker | Git | Selenium | Jest | Mocha As a Python developer intern at Smart Bridge I built RESTful APIs to optimize microservices communication increasing system efficiency by 35%. I automated CI/CD pipelines using Jenkins and Docker cutting deployment cycles by 50%. I enforced OAuth and RBAC authentication mechanisms strengthening security by 30%. I improved SQL query execution by 40% through indexing and query tuning. I constructed responsive front-end interfaces with React.js and TypeScript reducing page load times by 45%. I directed agile sprints and standups aligning developers testers and product managers to meet project deadlines. I have completed multiple high-impact projects. I developed an AI health monitoring system using TensorFlow and Scikit-Learn achieving 87% anomaly detection accuracy. I created a vehicle accident location tracking system using Java Firebase and Google Maps API reducing emergency response times by 40%. I designed a book-sharing application with React.js Node.js and MongoDB integrating JWT authentication and AWS S3 storage to improve security and scalability. I deployed a smart cart AI e-commerce platform with a serverless architecture using AWS Lambda and DynamoDB reducing API response times by 45%. Additionally I engineered a Bitcoin market analysis and forecasting model with ARIMA and LSTM achieving 92% trend detection accuracy and integrating real-time cryptocurrency data with Flask and Plotly dashboards. Contact Information: Email: navapraharsha7@gmail.com Phone: +1 (475) 231-9390 Location: United States
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