Aman Garg - Software Engineer

Technical Skills

Programming Languages: Java, Python
Frameworks and Libraries: Spring Boot, Mockito, JUnit, Selenium
Development Tools: Git, Maven, Jenkins, Sonar, IntelliJ
Databases: Azure SQL, Azure Cosmos NoSQL
Data Processing and Messaging: Apache Kafka, Apache Airflow, Apache Spark
Cloud & DevOps: Kubernetes, CI/CD
Software Development Practices:
- Microservices Architecture & Design Patterns
- Test-Driven Development (TDD)
- Object-Oriented Programming (OOP)
- System Design & Architecture
- Agile/Scrum Methodologies
- Code Review & Best Practices
Other Tools & Technologies: GraphQL, OpenAI (ChatGPT APIs), Web Scraping, Automation

Member of Technical Staff (Apr 2025 - Present)
- Leveraging Apache HBase and Apache Phoenix to build BigData solution and provide database as a service for all Saleforce.

Software Engineer 3 (Aug 2023 - Apr 2025)
- Developed scalable Kafka consumers to process 1B+ daily inventory updates with high availability and low latency
- Led a team of 5 to deliver a seller discount feature generating $60M+ annually, improving seller retention
Software Engineer 2 (Jul 2021 - Jul 2023)
- Built an automated Spark-AIRFLOW pipeline for invoice processing, unlocking $300K revenue in 6 months
- Optimized warehouse cartonization logic, saving packaging cost for 2.6M units per FC annually
Software Engineer Intern (May 2020 - Jun 2020)
- Implemented GraphQL API and cron scheduler for order management automation, improving system flexibility
- Resolved 5 production bugs, contributing to backend service reliability

Software Engineer Intern (Aug 2020 - Dec 2020)
- Developed features for the sales automation platform

Led a team of 4 to create a GenAI-powered voice assistant for an e-commerce company using ChatGPT APIs at a hackathon.

Enabled users to use voice commands to perform actions like search for ingredients, get user sentiments, return/replace orders, and FAQs
Technologies used: Python, Open AI, Generative AI, Machine Learning, Agentic AI

Built an Instagram Automation Bot using Python and Selenium.

Automated login, engagement tracking, and hashtag analysis, leveraging web scraping to build an influencer database for industry trend analysis
Technologies used: Python, Selenium, Web scraping, Automation