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Senior Software Developer @Takeo.Ai

NY, US

Leading the design and development of next-generation AI-powered learning systems that combine scalability, performance, and intelligent automation. Spearheading engineering initiatives across backend architecture, DevOps, and data streaming pipelines to deliver resilient, cloud-native platforms supporting millions of daily learners.>Re-architected the company’s monolithic application into modular, event-driven microservices using Spring Boot 3, Kafka, and AWS Lambda, improving scalability by 65% and cutting deployment times by 60%.>Designed and deployed AI-driven data ingestion pipelines that process over 2 TB of behavioral data per day, enabling personalized content recommendations and real-time analytics.>Implemented Terraform-based IaC and GitHub Actions CI/CD, automating builds, testing, and blue-green deployments — boosting release velocity by 3×.>Integrated observability tools (Datadog, Prometheus) to achieve 99.9% uptime and actionable monitoring dashboards for proactive incident response.>Led modernization of authentication services with JWT + OAuth2, enhancing API security compliance and reducing unauthorized access incidents by 40%.>Mentored a team of 8 engineers, fostering clean-code practices, design reviews, and hands-on workshops on microservices and cloud scalability.>Collaborated with product managers and AI researchers to align engineering roadmaps with business OKRs, ensuring measurable feature impact.

Ansal University Gurgaon

Computer Science

University of New Haven

Data Science

University of Cambridge

A level