Anurag Singh

Developed and optimized high-traffic feed and chat features, directly enhancing user engagement and retention across a large-scale social platform.

Collaborated with cross-functional teams to implement UI/UX enhancements that significantly boosted session duration and click-through rates.

Designed and implemented robust analytics and A/B testing frameworks, guiding data-driven product decisions and measuring new feature impact.

Architected and developed core automation workflows for scheduling, payments, and CRM, streamlining tutoring operations and enhancing efficiency.

Deployed scalable front-end dashboards and admin tools, empowering tutors to track performance and revenue effectively.

Drove rapid product iteration by collaborating directly with founders and early customers, shaping the product roadmap based on user feedback.

Developed comprehensive account management and reporting modules for an enterprise SaaS platform.

Optimized key dashboards and APIs, significantly reducing load times and enhancing overall user experience.

Collaborated with product teams to translate complex business requirements into robust, scalable technical solutions.

Contributed to backend development and integration tasks for fintech workflows, enhancing system reliability and scalability.

Developed and maintained robust REST APIs and data pipelines, supporting critical core product features.

Conducted applied ML research on predictive models for surgical cost estimation, achieving over 90% prediction accuracy using regression ensembles.

Authored comprehensive technical documentation and assisted medical researchers in preparing publication-ready reports.

Led applied ML research on predictive models for surgical cost estimation, achieving over 90% prediction accuracy using regression ensembles.

Collaborated with Ph.D. researchers to design novel neural architectures and feature extraction pipelines utilizing PyTorch.