Rakshini J Gowda

Software Engineer | Full Stack / Backend / Frontend Developer

Talent

Mysuru, KarnatakaMember since August 16, 2026

PythonJavaScriptSQLHTMLCSSFlaskNode.jsMySQLPostgreSQLMongoDBAWSCursor AIReal-Time Dashboards

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PythonJavaScriptSQLHTMLCSS

About

Software Engineer with 3.5 years of experience designing, building, and deploying full-stack and IoT-integrated platforms, including real-time fleet tracking, smart device automation, and energy-trading systems. Skilled in Python (Flask), Node.js, SQL and NoSQL databases, and cloud deployment on AWS and GCP, with hands-on experience building real-time dashboards, GPS-based tracking, and remote/local device control. Experienced in using agentic AI tools (Cursor AI) to accelerate development across the full stack.

Seeking a Frontend, Backend, or Full Stack Developer role to build scalable, user-focused software.

Experience

Junior Software Engineer at Zinco Electric Pvt Ltd (2022-01 – Present)

Full Stack Development: Build and maintain backend services (Python/Flask, Node.js) and frontend dashboards (HTML, CSS, JavaScript), integrated with MySQL, PostgreSQL, and MongoDB, across multiple IoT and web platforms (see Key Projects below).
Agentic AI-Assisted Development: Use Cursor AI across the full stack to accelerate feature delivery and reduce development turnaround time.
Cloud Deployment: Deploy and manage applications on cloud virtual machines using AWS and GCP, supporting reliable uptime and scalability.
Quality & Documentation: Write unit and integration tests, debug software defects, and maintain technical documentation to support long-term maintainability.
Collaboration & Support: Partner with cross-functional teams to define, design, and ship new features, and provide technical support and troubleshooting to end users.

Trainee Decision Scientist at Mu Sigma Business Solutions Pvt Ltd (2022-01 – 2022-12)

Data Preparation: Collected, cleaned, and preprocessed data from multiple sources to ensure quality and usability for analysis.
Data Analysis: Applied statistical methods, data mining techniques, and machine learning algorithms to extract insights from datasets.
Model Development & Reporting: Collaborated with senior data scientists to build predictive models and optimization algorithms, and prepared reports, dashboards, and presentations to communicate findings to stakeholders.