Software Engineer Front-End Web

RAHUL SURESH UBALE

+1-812-***-**** *****.*******@*****.*** linkedin.com/in/rahul-ubale/ github.com/RahulUbale rahulubale.github.io/rahulubale/ SKILLS

Languages: Java, C#, Python, C, C++, JavaScript

Distributed Computing Technologies: Docker, Kubernetes, Apache Kafka, Caching, Hadoop, Spark Databases: Oracle, SQL, MSSQL Server Database, Neo4j, MongoDB, PostgreSQL, Hive Developer Tools: GitHub, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse, Postman, Tableau, GSuite, Microsoft Office Cloud Computing Services: Microsoft Azure, AWS, JetStream2, Confluent Front-end Web Development: HTML, CSS, JavaScript, Bootstrap, React, Angular Frameworks and APIs: REST API, Spring Framework, Spring Boot, Hibernate, Django PROFESSIONAL EXPERIENCE

Squad Software Remote

Software Engineer February 2024 - Present

• Resolved complex bugs identified during production support meetings to ensure seamless operations.

• Developed and implemented data pipelines to process and analyze over 1 TB of customer data daily, improving data accessibility and efficiency for the corporate team.

• Optimized ETL processes resulting in a 30% reduction in data processing time, leading to faster decision-making for corporate stakeholders.

• Designed and maintained a data warehouse infrastructure handling petabytes of data, ensuring high availability and performance for corporate analytics.

• Collaborated with cross-functional teams to deliver real-time data solutions, reducing data latency by 20% for corporate reporting and decision-making.

Indiana daily student Bloomington, IN, USA

Managing Editor of Digital January 2023 - December 2023

• Led 12 projects, supervised a team of web designers, and managed task assignments for project buildouts.

• Implemented custom buildouts in CSS, HTML, React.js, and Vue.js for cross-platform compatibility.

• Enhanced website accessibility through Python-based data analysis, improving the user experience.

• Utilized analytical insights to enhance user engagement by 15%.

• Mentored 6 new members to set up the projects and conducted Knowledge transfer sessions for project overview.

• Operated using Agile Scrum methodology, participating in daily editorial meetings, sprint planning, reviews, and retrospectives. Worked closely with team members to refine content requirements and prioritize tasks, ensuring timely delivery of features.

• Developed Python scripts to automate data processing tasks, improving workflow efficiency by 30%.

• Implemented dashboard reporting to provide concise and insightful data visualization, enhancing decision-making processes DIPY Bloomington, IN, USA

Software Engineer August 2022 - May 2023

• Contributed and optimized a state-of-the-art convolutional neural network (CNN) model using Python alongside essential libraries like NumPy and TensorFlow.

• Successfully achieved noise reduction, resulting in improved microstructural values for reliable tractography.

• Documented the critical features of the project, containing a detailed description of all the functionalities. Modern Education Society's College of Engineering Remote Web Developer September 2021 - December 2021

EDUCATION

Indiana University - Bloomington January 2022 - December 2023 Master's, Computer Science GPA: 3.84

Savitribai Phule Pune University July 2017 - August 2021 Bachelor's, Computer Engineering GPA: 8.91

PROJECTS & OUTSIDE EXPERIENCE

TradeSimX Remote

Software Engineer August 2023 - December 2023

• Developed a secure, microservices-based trading platform in Java with Angular UI.

• Created a risk-free virtual trading platform with real-time market data, integrated Google Auth for secure access.

• Streamlined market data with WebSockets and Kafka integration, utilizing MySQL for data storage. WeatherWiseNet Remote

Software Engineer January 2023 - May 2023

• Designed Java-based microservice to fetch user weather search history from a Node.js microservice.

• Implemented functionality to insert data into MongoDB from the retrieved weather search history.

• Dockerized all the microservices, making them easily deployable and scalable.

• Load tested the microservices using Apache JMeter and Artillery to optimize API performance.

• Crafted and tested REST APIs for efficient front-end communication, using Postman for testing and JSON analysis for DOM.

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