Software Engineer

ABHAY AGARWAL

San Jose, California, United States • +1-925-***-**** • ******.*****@*****.*** • linkedin.com/in/abhay-linkup Experienced Software Engineer skilled in developing reliable, scalable solutions with expertise in both front-end and back-end technologies. Proficient in object-oriented programming and complex database management, improving system performance and user experience. Strong analytical and effective communication skills enable driving projects from concept to deployment, thriving in dynamic environments through collaboration with cross-functional teams. TECHNICAL SKILLS

• Programming Languages: Java, Python, SQL, JavaScript (React), C, C++, C#, Golang, NoSQL, HTML5, CSS3

• Database: MySQL, Microsoft SQL Server, SQLite, MongoDB, Amazon RDS, Redis

• Frameworks: ASP.NET, jQuery, Node.js, Pandas, SpringBoot

• Tools & Technologies: Amazon Web Services (AWS), Google Cloud Platform (GCP), Splunk, Swagger, Apache BEAM, Version Control Systems (Git), JIRA, Blockchain, Tableau, Postman, Apache Airflow, Kubernetes PROFESSIONAL EXPERIENCE

Software Development Engineer – Tesla Inc, California, USA January 2023 – Present

• Developed a termination workflow using .NET Core and RabbitMQ to handle event-based time-sensitive transactions, for Active Directory Federation Services (ADFS) cutoffs.

• Implemented personal event notifications on the homepage screen using C#, MYSQL and Redis Cache, and secured the data through RSA encryption techniques for sensitive data of 140k employee users.

• Designed an automated JIRA task creation tool by consuming APIs for assigning permissions to specified security groups and providing a seamless user experience for end customers and reduced manual work by approx. 2 hours per day.

• Implemented Dead Letter Queue Retry mechanism to reduce message loss incidents for user notifications by 60%.

• Created a C# cron job to automate the uploading of PGP-encrypted files with sensitive employee information to SFTP servers during non-peak hours to ensure minimal system load.

• Developed the backend for push notification systems in Golang and MYSQL for 140k employee users capable of delivering 1000 alerts in approx. 5 milliseconds.

• Developed a microservices-based proof-of-concept (POC) for an internal survey platform in Golang with a MySQL backend and React frontend, improving organizational feedback processes.

• Collaborated effectively as a part of the development team to continuously integrate code changes into the CI/CD pipeline, enabling smooth and consistent weekly feature deployments that enhanced product functionality and user satisfaction.

• Developed Splunk Dashboards for system log monitoring, identifying APIs performing above baseline benchmarks and enhancing API throughput by 15%, and system responsiveness by proactively managing resources to reduce pod load. Data Science Intern – Cowbell Cyber Inc, California, USA (Series-B Startup) May 2022 – Aug 2022

• Redesigned database architecture, integrating data from 10 sources into one repository, boosting SQL efficiency by 40%.

• Developed GraphQL REST APIs for system inventory management, reducing query response times by 5-6 milliseconds and enhancing system performance and data retrieval speed.

• Enhanced CRUD functionality on Amazon RDS using SQLAlchemy for object-relational mapping ORM in Python, reducing latency by 25% and eliminating ad-hoc SQL practices.

• Engaged in Agile development methodologies, to optimize existing Directed Acyclic Graph (DAG) using Airflow with a cross-functional team, reducing manual labor by over 20 hours weekly. Graduate Teaching Assistant – Arizona State University, Tempe, USA Aug 2021 – May 2022

• Collaborated with faculty to deliver lectures on programming fundamentals and advanced topics and provided Java technical support, enhancing the coding proficiency and problem-solving skills of over 120 students.

• Conducted comprehensive testing and debugging during the assessment of capstone projects, offering critical feedback that promoted practical software development skills and aligned with industry standards. Data Engineer – MICI, India Jul 2020 – Jul 2021

• Optimized SQL queries and refactored APIs for the ERP system, reducing query response times by 40% and improving performance in student admissions and billing.

• Developed dynamic student e-forms using React.js, with Java Spring Boot API and SQL database integration, used by over 200 students to enhance data submission efficiency. EDUCATION

MS, Computer Software Engineering – Arizona State University, USA Aug 2021 – May 2023 PUBLICATIONS & CERTIFICATIONS

• Twitter sentimental analysis through machine learning and Comparative Analysis of Different Models International Journal of Scientific Engineering and Applied Science (IJSEAS) Volume-7, Issue-7, ISSN: 2395-3470.

• Google Cloud Platform (GCP) certified Professional Data Engineer (PDE) in 2021.

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