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Lead Java Engineer with 8+ years in Backend Systems, AI, and Cloud Infrastructure
Lead Software Engineer with 10+ years of experience delivering production backend systems across financial services, enterprise infrastructure, and AI platform engineering. Built and owned backend services at Google (Gemini Enterprise Agent Platform), Amazon (S3 Event Notifications), Expedia Group / Hotels.com (clickstream platform via EPAM), and J.P. Morgan (Chase QuickPay with Zelle). Core expertise spans Java, Kotlin, Python, event-driven architecture, durable workflow execution, distributed systems design, and cloud-native infrastructure on AWS and GCP. Consistent track record of owning reliability, observability, and safe deployment at high scale, from real-time payments and object storage event delivery to production AI agent runtime systems.
University of Hull
Master of Science · Artificial Intelligence
November 1, 2023 – June 1, 2025
Hajvery University (HU)
Bachelor's Degree · Computer Science
January 1, 2012 – January 1, 2016
Lead Software Engineer
November 1, 2023 – May 1, 2026
India
Amazon
Senior Software Engineer
November 1, 2021 – June 1, 2023
India
EPAM Systems
Senior Java Backend Engineer
March 1, 2019 – June 1, 2021
India
J.P. Morgan / JPMorganChase
Java Backend Engineer
March 1, 2017 – January 1, 2019
India
Cultural Fit Analysis
The candidate has worked across diverse industries (financial services, e-commerce, cloud infrastructure, AI platforms) and in large, high-performing organizations (Google, Amazon, J.P. Morgan). This breadth of experience suggests adaptability and an ability to thrive in various technical and organizational cultures. Their involvement in hackathons and continuous improvement initiatives (e.g., automation projects) indicates a proactive and innovative mindset. The consistent progression in roles and responsibilities, culminating in a Lead Software Engineer position at Google, demonstrates ambition and a strong work ethic, which are positive indicators for cultural fit in a demanding technical environment.
Soft Skills & Operational Fit
The candidate's resume highlights strong operational ownership, problem-solving skills (e.g., improving event delivery reliability, hardening failure classification), and a proactive approach to release safety and quality. Their experience in sprint planning, backlog refinement, and mentoring indicates good team collaboration and leadership potential. The descriptions suggest a candidate who is detail-oriented, focused on system resilience, and capable of driving technical initiatives.