Recently joined AQR Capital Management as a part of the Quant Research Development team as a Software Engineer Associate. Working at the intersection of technology and finance, supporting high-performance systems and services that enable quantitative research and model implementation.

Research, Discovery, and Funding platform for Indian Companies and Investors, featuring an extensive database with detailed profiles of over 150k Companies, insights on over 4.5k Funds, 29k HNIs, and more.- Engineered a company-wide Change Data Capture (CDC) system utilising MongoDB, Async Python, and RabbitMQ to generate & consume MongoDB collection data changes, to facilitate real-time data synchronisation and event-driven integration between multiple applications.- Led the migration of the EPFO project from Django to Scrapy, creating a fault-tolerant, self-recovering scrapy spider that ensures complete data integrity with every scrape and achieves scrapes about 50% faster than the previous implementation. Integrated technologies that include Scrapy, FastAPI, Celery, RabbitMQ, and Pydantic.- Designed and implemented a centralised Lists & Filters management screen using Python, Elasticsearch, and Django ORM, which promotes user engagement, profile interaction, and provides enhanced data change updates and tracking features.- Developed and deployed a Structured Logging tool, now integrated across over 20 projects, enhancing application monitoring and observability, also significantly reducing testing and debugging time.- Utilised GitHub Actions for Kubernetes deployment and GitLab CI/CD for Python package distribution. Monitored Kubernetes deployments and app stability using kubectl.

- Contributed to a migration project for a major German Hair Care company’s IT architecture to Azure cloud-based infrastructure, focusing on documentation and analysis of over 50 application requirements.- Conducted detailed assessments of client’s existing applications and resource needs, supporting the design of the new Azure architecture.

Led the development of a GIS-based Network Design and Cost Estimation Tool for Belgium’s largest telecom provider, overseeing the implementation of a unified platform for network designers to plan and validate infrastructure layouts.- Orchestrated the resolution of over 200 feature requests, change requests, and bugs, ensuring robust software performance and reliability.- Delivered expert technical guidance and mentorship, resolving complex issues across Python, Qt for Python, and PyQGIS, while empowering 5+ team members to achieve project goals and improve their technical skills.

Senior Developer for a GIS-based Network Design and Cost Estimation Tool for Belgium’s largest telecom provider.- Spearheaded the development process by overcoming a critical technical limitation—a print preview feature for network layouts—using PyQt's print-preview component, demonstrating innovation and problem-solving skills.- Mastered PyQt and gained a thorough understanding of the Qt framework. Used this to deliver three major features from concept to deployment, and enhanced system functionality through 15+ smaller updates.- Devised innovative solutions for complex features, resolving technical challenges with efficiency and creativity.

- Enhanced the Fallout Management tool for a global telecom client, leading change requests from analysis to implementation and testing.- Integrated Test and Production instances, optimizing the tool's operational environment.- Developed a Java-based automation tool, reducing the effort to summarize Change Request Documentation into Excel sheets by 70%.- Technologies used: SQL (Oracle), Unix, JavaScript, and Java.

- Achieved a completion score of 89% during the Systems Engineer Trainee program, demonstrating expertise in Python, Java, and Angular 4.- Excelled as a Top Performer in Generic Training with a score of 93%, mastering Python and SQL.- Excelled as a High Performer in Stream Training with an 86% score, focusing on Java, Spring MVC, Hibernate and Angular 4.