Software Engineer with 4+ years in Microservices, AI/ML & Cloud Architecture.
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Full-Stack & Backend Software Engineer with 4+ years of experience architecting distributed microservices, building ML/LLM-powered systems, and delivering cloud-native applications at scale. Led migration of monolithic platforms to event-driven microservices on AWS/Kubernetes, reducing latency and enabling 10,000+ concurrent users. Proficient in Python, Spring Boot, MongoDB, Kafka, and Angular with a track record of shipping high-throughput, production-grade systems end-to-end.
Rajalakshmi Engineering College
Bachelor of Engineering · Computer Science & Engineering
August 1, 2016 – June 30, 2020
Smartail
Software Engineer (Product Engineering)
January 1, 2022 – Present
India
Cultural Fit Analysis
The candidate demonstrates a broad range of technical skills across backend, frontend, DevOps, and AI/ML, indicating adaptability and a willingness to learn and apply diverse technologies. The experience in leading significant architectural changes (monolith to microservices, Kubernetes adoption) suggests a proactive and innovative approach, which aligns well with a culture that values continuous improvement and technical leadership. The diversity of projects, from core backend systems to AI/ML pipelines and frontend dashboards, shows a versatile engineer capable of contributing across different product areas.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in pioneering new technologies (Kubernetes deployment) and driving significant improvements in system performance, deployment efficiency, and feature delivery. This indicates strong initiative, problem-solving abilities, and a results-oriented mindset. The detailed descriptions of impact (e.g., reducing latency by 65%, reducing deployment lead time by 40%) suggest a focus on measurable outcomes and operational excellence. Experience with code reviews and agile practices implies good collaboration and quality assurance focus.