Software Developer Machine Learning

Vaishnavi More

EDUCATION

California State University, Fullerton, Fullerton, CA

Master of Science in Computer Engineering, GPA-3.96 August 2022 - May 2024 TECHNICAL SKILLS

Languages: Python, JAVA, TypeScript, JavaScript, HTML5, CSS3, Bash,C# Databases and Frameworks: SpringBoot, React, Django, Node.js, Redux, PyTorch, JQuery, REST API, Microservices, MySQL, SQLite, MongoDB, PostgreSQL, Nginx, AJAX, Kafka, Terraform, Spark, Big Data DevOps: Kubernetes, Docker, Google Cloud Platform Tools: GIT, Jenkins, JIRA, Postman, Bitbucket, Splunk, Beautiful Soup, JSON, Numpy, Grafana, Prometheus, Spark Machine Learning: Deep Learning, sci-kit-learn, TensorFlow, Keras, PyTorch Skills: OOP, Data Structures and Algorithms, Agile, Unit Testing, Linux, Design Patterns, CI/CD, Scrum, Jira, Kanban, Microservices architecture, DevOps

EXPERIENCE

California State University Fullerton Fullerton, CA Student Research Assistant, Part-Time (Neuro-Gaming Integration) August 2022 – May 2024

• Launched research on integrating Brain-Computer Interface (BCI) technology in video games in real-time, examining a varied dataset from 35 subjects over 105 trials

• Conducted comprehensive testing yielded a 30% enhancement in brain-to-game interfacing efficiency among trial groups

• Developed an advanced deep learning model by utilizing PyTorch framework to design CNN, LSTM, and GNN, enhancing EEG signal classification accuracy for Motor Imagery (MI) tasks by 30% over prior models Wipro Limited Pune, India

Software Developer, Full-time July 2021 - March 2022 1. EUC Remediation Framework –

• Directed creation and launch of audit processing applications for financial processes, utilizing Java, Spring Boot, React.js, Docker, and Microservices, achieving a 95% user satisfaction score and slashing application deployment time by 25%

• Accomplished a 40% acceleration in API response times by innovating microservices deployment and refining API invocation processes

• Spearheaded migrating from on-premises infrastructure to cloud-native architectures, ensuring a seamless transition and minimizing operational disruptions

2. Container Accelerator - June 2019 – June 2021

• Revolutionized container creation tailored to user specs, slashing setup times 40% and boosting satisfaction via agile container management and elevating overall user satisfaction through agile container management practices

• Demonstrated expertise in technologies such as Microservices, Java, SpringBoot, and Kubernetes, improving development workflows and cutting software release times by 25%.

• Streamlined operations with tools such as Restful Webservices, Databases, Jenkins, and Docker, contributing to faster time-to-market for new releases, created Helm charts for 25+ projects, ensuring streamlined deployment and scalability

• Architected a high-capacity API Invoking Service, amplifying system scalability by 40% via Microservices and Google Cloud API integration, implemented Docker images for 30+ applications, optimizing performance and reliability.

• Orchestrated automated infrastructure deployment using Terraform on GCP and AWS, overseeing the management of more than 20 containerized applications annually.

Bharat Sanchar Nigam Limited Nashik, India

Software Developer, Intern March 2018 – December 2018

• Led developing and designing an established Java and Spring Boot web application, implementing a structured 3-tier architecture covering Presentation, Business, and Data Access Layers to ensure efficient development processes.

• Addressed user-reported issues, debugged logs, and optimized data retrieval within the Spring Boot framework, leading to a 30% decrease in customer complaints

PROJECTS

NLP-Driven Hardware Trojan Detection (Research Assistant) August 2022 – May 2024

• Utilized Hugging Face library, Google BERT, LSTM, and RNN to orchestrate the collection and exploitation of 1500 FPGA bitstream data for training Transformer models in time series analysis

• Engineered Transformer model achieving a 75% accuracy and LSTM with 94% in distinguishing compromised vs. authentic hardware bitstreams, revolutionizing hardware trojan detection

• Presented research at the ‘WISE’ conference, earning acclaim for exemplary research methodology and captivating presentation style City Navigation System (Software Developer) April 2023 - May 2023

• Designed the "City Navigation Tool," adeptly employing agile methodologies to fuse React-Leaflet and JavaScript, propelled user navigation efficiency by 20% in a collaborative five-member team environment

• Leveraged React Leaflet and the Floyd-Warshall algorithm to develop innovative, efficient routing solutions, improving point-to-point navigation accuracy.

SEO Analyzer (Software Developer) June 2023 – August 2023

• Spearheaded the development of an advanced SEO analyzer using text searching algorithms on web-scraped data, suggesting words according to SEO standards and calculating the search index of each word, using React.js, Node.js, and CircleCI for CI/CD

• Led frontend development efforts, driving a 25% enhancement in application performance through seamless integration of backend API functionalities with HTML, CSS, JavaScript,React.js, and web scrapping tools such as Beautiful Soup PUBLICATIONS

• IEEE AIIOT 23: Using Motor Imagery and Deep Learning for Brain-Computer Interface in Video Games

• IEEE AIMHC 24: Incorporating Motor Imagery-Controlled Gaming into Paralysis Rehabilitation

• IEEE ISVLSI 24: Natural Language Processing Meets Hardware Trojan Detection: Automating Security of FPGAs (Accepted) Full Stack Engineer Java SpringBoot React JavaScript 657-***-**** *************@***.*********.*** LinkedIn Portfolio GitHub Google Scholar

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