Contributed to [QuantConnect’s LEAN](https://www.twine.net/signin open-source quantitative trading engine by implementing the Tom Demark’s Sequential candlestick indicator used for trend reversal detection. This feature adds support for detecting trend exhaustion and potential reversals, increasing the toolkit available to quantitative strategy developers. Implemented the indicator with full support for Setup/Countdown phases and price flip logic. Demonstrated proficiency in C#, Git, unit testing, and financial modelling with a focus on clean code and extensibility.
Rathnagiri Nagarajan
- London, United Kingdom
- 1 project
NET, and Go in Azure and GCP environments.
About
I am an experienced Contract Software Engineer specializing in building distributed, cloud-native enterprise applications using C#, .NET, and Go in Azure and GCP environments. I focus on designing scalable, modern systems integrating traditional software with cloud platforms and delivering high-impact solutions that enhance operational efficiency and stakeholder satisfaction.
I have strong expertise in software design, development best practices, AI and machine learning, and cloud-native architectures. My passion lies in leveraging innovative technologies to create robust, maintainable, and secure software solutions while continuously driving improvements and aligning technology choices with business goals.
- Joined April 2025
Languages
- EnglishFluent
Industry experience
- Financial Services
- Energy & Utilities
- Software & Internet
- Professional Services
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Projects · 1
Work experience· 8 roles
Integrated new cricket feed providers into internal trading systems using C#, .NET, RabbitMQ, gRPC, REST, and MongoDB with Google Cloud deployment. Optimized pricing request services with Kafka-based asynchronous microservices and container orchestration using Docker and Kubernetes, improving latency and scalability. Developed a React and ASP.NET Core web application front-end and independently created heartbeat and fixture suspension functionalities. Established real-time monitoring with Prometheus and Grafana.
Integrated a new cricket feed provider into internal trading systems enhancing market coverage. Optimized asynchronous pricing request service with Kafka-based microservices improving scalability and resilience. Developed a modern web application front-end with React and ASP.NET Core back-end. Implemented heartbeat and fixture suspension functionalities to maintain system accuracy. Established comprehensive metrics and monitoring dashboards using Prometheus and Grafana for real-time system visibility.
Designed and developed Wellbore Stability calculations API library integrated into cloud microservices. Implemented resource allocation using RabbitMQ to improve system throughput. Architected a configurable Validation API reducing cloud resource costs. Led development with diverse technology stack hosted on Google Cloud and Azure with Kubernetes. Managed product lifecycle including repository setup, deployments, compliance scanning, testing, and stakeholder coordination to ensure high-quality delivery.
Education· 8
Certifications and awards
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