Jun 2022 – Jul 2025 · 3 yrs 1 mo · Munich, Bavaria, Germany · On-site

• As a Working Student Software Engineer, I contributed to the design, development, and optimization of services using R, Python, Azure, and MSSQL. This role allowed me to strengthen my skills in software development, cloud services(Azure), and database optimization while collaborating with cross-functional teams to deliver robust, high-performance solutions. My key achievements include:
• 1. Service Design & Data Integration: Designed and developed a service to fetch and import time series data from an FTP server to Azure cloud and MSSQL, implementing a custom database structure for optimized storage.
• 2. Asynchronous Web Scraping: Created a scalable and secure asynchronous web scraping service using selenium to collect investment data, deployed in a Docker container for improved isolation and portability.
• 3. Database Refactoring: Refined database interacting classes to R6 in R, improving object-oriented design, maintainability, and extensibility.
• 4. Azure DevOps: Designed and implemented an Azure pipeline for automated testing and release processes, streamlining deployment and continuous integration workflows.
• 5. SQL Query Optimization: Optimized SQL queries for faster, more efficient retrieval of time series data, improving performance and reducing execution times.

Oct 2021 – Feb 2022 · 4 mos · Gurugram, Haryana, India · Hybrid

• During my short tenure of 5 months, I contributed to the development of an advanced fraud detection system designed to identify and flag fake financial documents effectively. This role allowed me to deepen my expertise in backend development, cloud-based solutions, and scalable system design. The project involved:
• 1. Leveraging Python for core application logic, Redis for caching and data processing efficiency, and PostgreSQL for robust database management.
• 2. Utilizing AWS SQS for seamless queue management and ensuring high scalability and reliability in processing large volumes of data.
• 3. Enhanced the system's ability to detect fraudulent activities with accuracy, supporting the integrity of financial document verification processes.

Jun 2019 – Oct 2021 · 2 yrs 4 mos · Bengaluru, India · On-site

• I worked as a backend developer, designing and developing highly reusable, maintainable APIs over the course of two years. During this time, I took ownership of several key projects that enhanced system performance, developer productivity, and operational efficiency:
• 1. Architected High-Performance APIs: Designed and implemented scalable, efficient API endpoints using Django, Python, PostgreSQL, RabbitMQ, and gRPC, ensuring robust and reusable solutions for diverse application needs.
• 2. Built a Job Recommendation System: Developed a personalized job recommendation engine using Golang and Elasticsearch, enabling tailored suggestions that significantly boosted user engagement through more relevant and timely content.
• 3. Enhanced GraphQL Performance: Implemented advanced caching strategies for GraphQL endpoints using TypeScript and Redis, reducing response times and optimizing system performance during peak usage.
• 4. Pioneered Containerized Deployments: Led the adoption of containerization with Docker, Kubernetes, and AWS, streamlining the setup and deployment process for services and reducing friction in onboarding and environment consistency across teams.
• 5. Revamped Revenue Management Service: Spearheaded the redesign of the revenue management service in Golang, optimizing its performance and scalability to meet evolving business demands.
• 6. Introduced Automation with BuddyBot: Developed and integrated a Slack bot (BuddyBot) to automate and simplify staging environment management, significantly improving workflow efficiency and reducing setup conflicts for developers.

Dec 2017 – Feb 2018 · 2 mos · Chandigarh Area, India · On-site

• Developed a Patent Search Engine website designed for efficient and accurate patent discovery. Key contributions:
• 1. Built a robust patent database using Elasticsearch, leveraging its query language for complex data retrieval.
• 2. Integrated the database with Django to create a seamless user experience, enabling searches across keywords, patent numbers, and inventor details.
• 3. Implemented range-based filters for date and patent number searches, improving result relevance and precision.
• 4. Delivered a scalable, high-performance solution optimized for large datasets, gaining hands-on expertise in Elasticsearch and Django.