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Software Engineer with 7+ years in Python, FastAPI, and AWS/Kubernetes microservices, specializing i
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Software Engineer with 7+ years building Python / FastAPI microservices across medical AI, gaming, and enterprise SaaS. Strong in REST API design, contract testing, observability, and CI/CD-driven delivery on Kubernetes and AWS. Currently shipping production AI inference containers for multiple modalities at Harrison.ai contributing to microservices migration, shift-left testing, and GitOps deployment via ArgoCD.
BITS Pilani
M.Tech · AI/ML
August 1, 2025 – June 30, 2027
Anna University
Bachelor of Engineering
August 1, 2010 – June 30, 2014
Harrison AI (Annalise AI)
Software Engineer
August 1, 2023 – Present
India
Light & Wonder (Formerly Scientific Games)
QA Engineer (SDET)
February 1, 2022 – August 1, 2023
India
PEP Systems
Software Engineer
November 1, 2018 – January 1, 2022
India
Private construction / infrastructure firms
Civil and site engineering roles
January 1, 2014 – October 1, 2018
India
Cultural Fit Analysis
The candidate's diverse experience across medical AI, gaming, and enterprise SaaS, coupled with a transition from civil engineering to software engineering, indicates adaptability and a strong learning orientation. Their involvement in microservices migration, CI/CD, and observability aligns well with modern agile and DevOps cultures. The pursuit of an M.Tech in AI/ML while working demonstrates a commitment to continuous learning and staying current with industry trends, which is a strong cultural fit for innovative and growth-oriented environments. Their detailed descriptions of collaboration (e.g., 'adopted by multiple feature squads', 'consumer-driven contract testing') suggest a team-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their detailed descriptions of optimizing CI/CD pipelines, improving system performance, and designing robust testing frameworks. Their experience in migrating monolithic systems to microservices and establishing shift-left testing indicates a proactive and quality-focused approach. The emphasis on Pydantic-validated API contracts and spec-driven development suggests a methodical and collaborative operational style. Their work in medical AI and enterprise SaaS implies an ability to handle complex, high-impact systems with a focus on reliability and correctness.