Dec 2025 – Present · 4 mos · Hyderabad, Telangana, India · On-site

May 2025 – Jul 2025 · 2 mos · Hyderabad, Telangana, India

• Completed my internship at D. E. Shaw, where I designed a real-time service monitoring and anomaly detection framework capable of processing metrics from Prometheus and Elasticsearch. I conducted extensive research to evaluate suitable machine learning models and implemented a hybrid solution using Isolation Forest and Prophet, achieving over 95% precision in anomaly detection. Alongside this, I developed a flexible threshold-based rule engine allowing users to define complex alert logic using Boolean conditions (AND/OR). The system handled over 10,000 metrics per minute with sub-second latency and supported real-time rule updates. I also built tools to visualize anomaly scores and model residuals, enabling better alert validation and tuning. Collaborated closely with mentors and engineers, contributed to system documentation, and laid a scalable foundation for future alerting and observability work. This experience enhanced my skills in machine learning, real-time systems, and collaborative software development.