Aditi Jain

Fremont, ***** CA • +1-669-***-**** •ad19fv@r.postjobfree.com • www.linkedin.com/in/aditijain3007 • https://github.com/aditijain3007 SUMMARY

Disciplined, Motivated Software Development Engineer with eight years of experience in Frontend and Backend application development. An excellent problem solver and team player who is known for being creative and cooperative. TECHNICAL SKILLS

● Programming Languages: C/C++ (8yrs), Python (5yrs), Java (3yrs), Kotlin, Flutter( Android Development), Rust, QTC++, QML, Bash, Dart, Embedded C/C++, Arduino, HTML5, CSS3, JavaScript, Go

● Database and Frameworks/Libraries: MySQL(3yrs), Oracle, PLSQL, MongoDB, S3, Google Firebase, Firestore, DynamoDB, PostgreSQL, MSSQL, JSON, XML, YAML, Flutter, Figma, NodeJS, AngularJS, ReactJS, Redux, Elastic Search, Jenkins, Bitbucket

● OS and Cloud Platforms: Unix, Linux, Amazon Web Services (AWS EC2, CFN, Lambda, NLB, ELB), Microsoft Azure, IBM Cloud, GCP

● Software/Tools: Eclipse IDE, VS Code, IntelliJ, sublime, Jira, MATLAB, Dev C++, GitHub, Docker, Kubernetes, Jenkins, Kafka, Android Studio, IOS XCode, Maven, Jira, Gradle, Ansible, Puppet, Nagios, Valgrind EDUCATION

● Santa Clara University, Santa Clara, CA – Master’s in Computer Science (GPA: 3.74) Sep 2021 - June 2023 Graduate Courses (2021): Design Analysis and Algorithms, Operating Systems, Object Oriented Analysis and Design Programming, Artificial Intelligence, Machine Learning, Deep Learning, Pattern Recognition & Data Mining, Computer Architecture, Database Design, Network Design Analysis, Advanced Operating Systems, Advanced Web Programming, Distributed Systems, Software Product Management, Directed Research, and Mobile Application Development.

● Ujjain Engineering College, India – B.E. Electronics & Communications Engineering (CGPA: 79.2%) Sep 2009 - Jun 2013 WORK EXPERIENCE (July 2013 – July 2023)

● HCL America Solutions Inc., Irvine, California, USA Jun 2023 – Nov 2023 Technical Lead, Checkbox tool, Thales Avionics (Aviation Global System): As the Technical Lead at Thales Avionics, I demonstrated my strong leadership and technical prowess by successfully leading a team in developing the innovative Checkbox tool application which is a maintenance tool for in-flight entertainment. By utilizing C++17 and its data structures and QT/QML, we created a state-of-the-art solution that streamlined log collection and maintenance activities on aircraft through a remote interface. This achievement showcased my ability to coordinate and guide a team and resulted in the seamless application release to production, contributing significantly to the company's technological advancements in aviation maintenance. Leveraging Python’s Scikit-learn and TensorFlow, designed machine learning models to optimize maintenance schedules for predictive maintenance, specializing in aircraft component failure prediction. Skilled in prototyping and analysis using Jupyter Notebooks for efficient and accurate predictive maintenance solutions.

● LG Soft India, Bangalore, Karnataka, India Aug 2018 - Mar 2021 Research Engineer, LG’s Virtual Keyboard and WebOS (Reference Platform): Research Engineer with expertise in C++ and Qt/QML as a GUI framework for LG's Virtual Keyboard and WebOS (Reference Platform), specializing in Embedded Systems and On-device development. Utilized Qt/QML to enhance predictive text and hand gesture recognition, significantly improving user experience in real-time systems. Implemented Text-to-Speech (TTS) functionality using Qt/QML, not only enhancing accessibility but also contributing to on-device development.

Headed critical security initiatives for Access Control Groups (ACG) in WebOS, ensuring the robust safeguarding of platforms and users in real-time environments.

Led the design and execution of innovative Qt/QML-based container initiatives for WebOS in the automotive industry, focusing on Embedded Systems, thereby enhancing usability and versatility in on-device applications. Demonstrated proficiency in automation testing with Python scripting, particularly in the context of Embedded Systems. Developed robust test scripts for software applications, incorporating testing frameworks such as Selenium and pytest to ensure the efficiency and reliability of on-device software products.

● Amdocs, Pune, Maharashtra, India Nov 2016 - Sep 2017 Senior Software Engineer, Ensemble Delivery Centre (Cricket Wireless, AT&T): Successfully delivered customer-centric features related to database management, cellular plans, discounts, and family plans

(multi-line connections) for CSM (Customer Service Module) using C++ and SQL database on the Linux platform. Developed and executed robust testing strategies using Python scripts to ensure the quality and reliability of the CSM

(Customer Service Module), leading to a significant reduction in customer complaints and improved satisfaction ratings. Developed a web application using the MERN (MongoDB, Express.js, React.js, Node.js) stack, hosted on AWS. The application empowers users to seamlessly review and track their plans and usage, ensuring a user-friendly and informative experience.

● Tata Consultancy Service, Mumbai, Maharashtra, India Jul 2013 - Oct 2016 Systems Engineer, IT Demand Management & Enterprise Management, Vodafone: Led the development of a game-changing application that transformed the workflow for IT projects in Vodafone Ltd.'s live production environment.

Utilized C/C++ in a Unix environment, shell scripting, and SharePoint to create a centralized sharing platform for project teams, resulting in optimized collaboration and streamlined workflows. Earned recognition from senior leadership for delivering a cutting-edge solution that significantly improved project efficiency, productivity, and overall business performance. Systems Engineer, Neat/Neat plus trading application, National Stock Exchange: Developed and maintained several high-performing trading applications in Futures and Options, and Capital Market segments, using C and C++ on the Linux platform.

Demonstrated a deep understanding of the industry, constantly updating and refining the applications to meet the dynamic needs of traders and investors.

ACADEMIC/RESEARCH PROJECTS

● Question Answering System: Developed an Android application employing a contextual question-answering system utilizing PyTorch and SQuAD dataset, integrating a Large Language Model (LLM) GPT-3. Implemented advanced fine-tuning techniques for the Android app, optimizing model performance through the utilization of AWS computational resources such as EC2 instances and S3 storage. Leveraged AWS's GPU capabilities for efficient training and fine-tuning of the PyTorch-based LLM model like GPT-3, enhancing the overall responsiveness and accuracy of the question-answering system.

● Homework Application: Championed the development of a cross-platform mobile application for Android and iOS, tailored for the educational landscape in Rwanda, using the Flutter framework, Google Firebase database, and Figma. The result is a user-friendly Homework Application that facilitates efficient learning.

● MathTarea Application: Successfully developed a cross-platform bilingual mobile application for Android and iOS, specifically designed for children in Mexico. Leveraged the Flutter framework, Google Firebase database, and Figma to create a user-friendly Bilingual Mathematics Application. This innovative tool facilitates efficient learning by offering translations in both Spanish and English.

● Task and Meeting Organizer: Utilized C++, QT C++, and PL-SQL to architect and develop a robust application facilitating the creation and organization of meetings and tasks. Implemented features to add attendees to meetings and incorporated a notification system for real-time updates on any changes to scheduled meetings. The result is a highly functional and user-friendly application that enhances productivity and collaboration.

● Airline Enterprise application: Developed an airline ticket booking system using HTML, CSS, Bootstrap for the front end, Node.js for the back end, and MongoDB for the database. Integrated a seamless web interface with a robust backend API, enabling customers to manage Mileage rewards, airline reservations, and itineraries efficiently.