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Mounika Kalasani

Associate Software Engineer • India • m*************@gmail.com • +91*******031 • drivetube.ai/•••••

Professional Summary

Associate Software Engineer with hands-on experience in a SaaS-based product environment, contributing to web application development, SQL database management, Agile sprint execution, and AWS cloud operations. Proficient in React.js, SQL, Jira, and AWS with a strong foundation in Java, OOP, and embedded systems. Passionate about building scalable, user-focused applications while collaborating effectively in cross-functional teams.

Technical Skills

Programming Language: SQL,Object-Oriented Programming,Data types and constructors,Java
Frontend Technologies: HTML,CSS,React
Databases: Relational database concepts
Microcontrollers & Processors: Arduino
Cloud Platforms: AWS,S3
Project Management & Collaboration: Agile,Jira

Work Experience

DRIVE TUBE SOLUTIONS PRIVATE LIMITED
HYDERABAD
CLIENT MANAGEMENT
Feb 2026 – Aug 2026
Worked in a SaaS-based product environment, collaborating with cross-functional teams to support product operations, customer onboarding, and continuous platform enhancement.
Tech Stack: React, AWS, Agile, Jira, Sql
  • Developed and maintained responsive web application features using React.js, ensuring a smooth and user-friendly interface.
  • Wrote and optimized SQL queries to retrieve, update, and validate application data for improved performance.
  • Collaborated with cross-functional teams in an Agile/Scrum environment, actively participating in sprint planning, daily stand-ups, and sprint reviews.
  • Managed and tracked tasks, user stories, and bug fixes using Jira, ensuring timely delivery of project milestones.
  • Worked with AWS services for application deployment, monitoring, and cloud-based resource management while following industry best practices

Projects

IoT Based Forest Protection and Fire Safety Control System | Jan 2022 – May 2022
Tools Used: Arduino C, C++, IoT fundamentals, Sensor interfacing, Microcontrollers
  • Designed and implemented an Arduino-based prototype to monitor forest conditions and detect fire indicators using temperature and smoke sensing, improving early detection capabilities in the proof-of-concept prototype.
  • Integrated sensors with microcontroller firmware to sample environmental data, apply threshold logic, and trigger alerts when fire conditions were detected.
  • Documented system architecture and testing results demonstrating reliable sensor readings and alerting behavior suitable for further development into an IoT-connected solution.

Education

Sai Spurthi Institute of Technology
Electronics and Communication Engineering • Telangana, India • Jul 2018 – Aug 2022

Certifications

Employability Skill Development Training Programme — Mahindra Pride Classroom • 2022
Arduino based Embedded System Design with IoT

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