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Senior Java Developer with 4.6 years of experience designing scalable microservices and backend plat
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Java Backend Developer with 4.6 years of experience designing scalable microservices and backend platforms using Java, Spring Boot, REST APIs, and CI/CD pipelines. Currently contributing to platform engineering solutions at Allstate, including automation, developer productivity tools, and internal platform modernization initiatives. Skilled in TDD, Groovy testing, Jenkins, and Agile development practices. Hands-on exposure to Generative AI, Agentic AI, MCP (Model Context Protocol), and RAG-based solutions to improve engineering workflows and automation.
Savitribai Phule Pune University
M.Sc. · Computer Applications
August 1, 2020 – June 30, 2022
Allstate
Java Developer
February 1, 2025 – Present
Bengaluru, Karnataka, India
Tata Consultancy Services (TCS)
Java Developer
December 1, 2021 – February 1, 2025
Bengaluru, Karnataka, India
Google Cloud Certified – Associate Cloud Engineer
Google Cloud
June 1, 2026 – Present
Microsoft Certified: Azure Developer Associate
Microsoft
June 1, 2026 – Present
PCAP - Certified Associate in Python Programming
Unknown
June 1, 2026 – Present
Java Certification
LearnTube.ai
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across two companies, including a large service-based organization (TCS) and a product-based environment (Allstate), shows adaptability. Their involvement in diverse projects like stock trading platforms, mail alert systems, and internal developer tools (Managed Vault, DevBuddy, Mutation) indicates a broad interest and ability to contribute to various domains. The certifications in multiple cloud platforms and Python, alongside Java, suggest a versatile and continuous learning mindset, aligning well with a culture of growth and innovation.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile methodologies (Scrum, Kanban), participation in ceremonies, and taking end-to-end ownership. Their collaboration with cross-functional teams and focus on observability and system stability indicate a good understanding of operational excellence. The exploration of AI technologies suggests a proactive and innovative mindset.