Monisha Ravikumar

I exceptionally organized and detail-driven professional recognized for consistently surpassing deadlines in high-pressure environments. A collaborative team player known for adeptly leveraging adaptability and precision to propel organizational triumphs. Guided by the ethos of determination, dedication, discipline, diversity, and direction, I actively seek and conquer challenging opportunities, delivering exemplary outcomes through unwavering commitment and expertise.

IDP IELTS Exam: Overall grade of 6.5, CEFR Level B2

Google Play Academy - Store Listing Certificate, Google Play, Oct 2024 - Oct 2027

Agile with Atlassian, Atlassian - Coursera, Jun 2024

Python for Data Science, issued by IBM, Mar 2024

Microsoft Azure Administrator AZ-104, May 2021 - May 2024

Azure Process Automation using Powershell, issued by Udemy, May 2021

Powershell Advanced, issued by Udemy, Mar 2021

WETRACT - Tractors and Farm equipment hire and resale portal

• Developed the application using the Dart language within the Flutter framework, adhering closely to specified requirements.
• Employed third-party libraries and APIs in Flutter effectively to enhance the application's functionality as per requirements.
• Played a pivotal role in implementing equipment addition functionality, integrating data storage and retrieval using Google Cloud's Firestore, and ensuring seamless user authentication.
• Demonstrated extensive proficiency in utilizing Dart to transform data into complex data structures and object mappings, facilitating efficient data rendering on-screen.
• Implemented booking functionality based on various parameters such as date-time and location, incorporating detailed pricing information for the user convenience.
• Established and enforced coding standards, meticulously documented existing code, and conducted refactoring as necessary to accommodate evolving requirements.
• Categorized end-to-end bookings into distinct segments, distinguishing between Booking History (past dates) and Upcoming Bookings (future dates) for clarity and organization.
• Introduced additional features to optimize the application's functionality and user experience, ensuring a seamless and intuitive user interface.
• Employed Python to extract real-time data and convert it into JSON format, enhancing data processing capabilities within the application.
• Facilitated open testing by deploying multiple versions of the application on Android and iOS platforms, including distribution via Google Play Store and App Store.
• Conducted comprehensive data comparison with external sources, standardizing the format of tractor specifications across the application for consistency and accuracy.

UNITRICS - All Unit Conversion

• Implemented the innovative 2D Cutter feature within the Unitrics application, leveraging Dart language within the Flutter framework.
• This cutting-edge functionality optimizes material usage by providing precise cutting instructions based on input parameters such as total rod length, quantity, and size. The 2D Cutter minimizes wastage and ensures efficient utilization of materials.
• Setup the iOS app environment and configured a production environment in Firestore database. Implemented these setups within the app to support deployment in both production and testing modes for Android and iOS.

CRUXIN - Internal

• Transform your business with Cruxin—seamless management
• Oversaw the entire project lifecycle, ensuring seamless execution and delivery.
• Enabled the application to run on iOS devices, configuring necessary settings and optimizations.
• Established the production environment for deployment on both the Google Play Store (Android) and App Store (iOS), supporting both production and testing modes.
• Identified and resolved platform-specific bugs for both Android and iOS, and implemented design enhancements to improve the overall user experience.

VOICESCRIBE - Effortless audio transcription, anytime, anywhere

• Developed the VOICESCRIBE application, revolutionizing audio transcription.
• Seamlessly integrated Dart language within the Flutter framework for optimal performance.
• Utilized Firebase Cloud Storage for secure audio file uploads.
• Employed Google Cloud Speech-to-Text for precise transcriptions, ensuring accuracy and reliability.
• Leveraged advanced machine learning algorithms to refine transcription accuracy and adapt to user preferences.
• Incorporated natural language processing (NLP) systems for intelligent analysis and interpretation of audio content.
• Designed user-friendly interfaces with intuitive search functionality and responsive navigation.
• Offered additional features including a feedback mechanism, Gateway API integration, and options for responses in text and audio formats.
• Upheld best coding practices and underwent rigorous testing procedures for reliability.
• Continuously evolved to meet user needs, standing as a testament to innovation in voice recognition and collaborative functionality.

Ejal Mini - Water Analyser by Elico

• Implemented map integration within the Ejal Mini Test application, enabling users to view and interact with geographical locations.
• Users can conveniently access the current latitude and longitude or select a specific location through search or drag-and- drop functionality. This feature enhances user experience and facilitates seamless integration with other functionalities of the application.
• Set up the iOS app environment and configured a production environment in Firestore database. Implemented these setups within the app to support deployment in both production and testing modes for Android and iOS.

PROQ Club

• Developed a high-performance, cross-platform MLM application utilizing RESTful APIs and MySQL database.
• Designed and implemented a user-friendly, infographic UI to effectively showcase app features.
• Ensured efficient data rendering and high performance by leveraging robust API integration.
• Implemented features to support user subscriptions, binary and hierarchical tree structures, and financial transactions.
• Enabled secure withdrawal and deposit of funds through cryptocurrency APIs.
• Managed user registration and login functionalities, ensuring a seamless user experience.
• Deployed the application as an APK file available on the corresponding website, rather than on the Play Store or App Store.

TRACKER - An Object Detection Model

• It is an University Project for my Bachelor's Degree
• The main aim of the “TRACKER” is to detect the real-timeobject.
• Due to object detection’s close relationship with video analysis and image understanding, it has attracted much research attention in recent years.
• Their performance easily stagnates by constructing complex ensembles which combine multiple low-level image features with high-level context from object detectors and scene classifiers.
• We have used the latest technology including TensorFlow, ObjectDetection, API framework for AI part & HTML, CSS & JS.
• We have taken data from COCOSSD. The entire project can be run online on any PC/Laptop.