Hello!
I'm Amod — a Software Engineer passionate about building scalable backend systems and solving complex engineering challenges.
View My Resume
Get in touch amoddhopavkar2@gmail.com
I'm a Software Engineer at Goldman Sachs, where I build compliance monitoring systems. After completing my Master's in Computer Science from Northeastern University, I've had the opportunity to work across diverse domains - from healthcare tech at Addgene to data engineering at Quantiphi, and now fintech at Goldman Sachs.
My work focuses on developing scalable backend systems and cloud infrastructure. I enjoy tackling complex problems using technologies like Java, Spring Boot, and Kubernetes, while always keeping an eye on system reliability and performance.
When I'm not coding or exploring new technologies, you'll find me reading non-fiction books, hiking new trails, or out on a run. I believe the best engineering solutions come from a well-balanced mind.
Always excited to connect with fellow tech enthusiasts and discuss innovations in distributed systems, cloud architecture, or financial technology.
- Python
- Java
- Javascript
- C++
- MySQL
- Scala
- SQL
- NoSQL
- React
- Node
- Express
- Django
- Flask
- Streamlit
- RESTful APIs
- GraphQL
- Spark
- Airflow
- MapReduce
- ETL
- Kafka
- Amazon Web Services
- Google Cloud Platform
- Docker
- Kubernetes
- CI/ CD Pipelines
- Designed and developed a full-stack MERN (MongoDB, Express.js, React, Node.js) web application that allows users to browse, search, and save their favorite recipes.
- Implemented user authentication, recipe creation and editing functionalities, and a personalized recipe feed to enhance user engagement and experience.
- Engineered a real-time collaborative coding environment where multiple users can simultaneously edit and debug code, fostering teamwork and productivity.
- Leveraged WebSockets for instant communication and implemented syntax highlighting and code completion features to enhance the coding experience.
- Built a scalable and efficient inventory management system deployed on AWS, leveraging RDS for reliable data storage and Flask for a RESTful API backend.
- The system streamlines product tracking, order processing, and generates automated reports for data-driven insights.
- Developed a Java application adhering to the MVC architectural pattern, providing users with real-time stock information and portfolio management capabilities.
- Integrated the Alphavantage API for seamless data fetching and implemented comprehensive JUnit tests to ensure code quality and robustness.