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Software Engineer with 8+ years in Java, Spring Boot & Cloud Infrastructure
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Assessing your cultural and operational fit
Results-driven Software Development Engineer II with 8+ years of experience designing and building distributed, event-driven microservices for large-scale financial and logistics platforms. Deep expertise in Java, Spring Boot, PostgreSQL, Kafka, and Azure cloud infrastructure, with hands-on experience in REST API design, system design, CI/CD pipelines, Kubernetes (AKS), and Docker. Proven track record of delivering high-throughput transactional systems, AI-powered automation, and full-stack solutions using Agile methodologies. Passionate about clean architecture, performance optimization, and mentoring engineering teams.
Motilal Nehru National Institute of Technology, Allahabad
B.Tech · Electronics & Communication Engineering
August 1, 2013 – June 30, 2017
DP World
Software Development Engineer II
September 1, 2021 – Present
Bengaluru, Karnataka, India
Talentica Software
Software Development Engineer I (Full Stack)
March 1, 2020 – September 1, 2021
Delhi, Delhi, India
Capgemini
Software Development Engineer
September 1, 2017 – March 1, 2020
Delhi, Delhi, India
AI Nexus: Multi-Functional AI Assistant
June 1, 2026 – Present
Built a unified enterprise AI platform featuring automated form generation from PRDs/Figma, chat-based multilingual product discovery, AI-powered ticketing, and workflow automation.
Cultural Fit Analysis
The candidate exhibits strong cultural fit through diverse project experience across financial, logistics, and insurance domains, showcasing adaptability. Their involvement in mentoring and leading Agile teams indicates a collaborative and leadership-oriented approach. The breadth of technologies and practices (microservices, event-driven, AI, full-stack) suggests a continuous learning mindset and ability to integrate into various team structures. The personal project 'AI Nexus' further demonstrates initiative and passion beyond work responsibilities.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile methodologies, leading sprint ceremonies, conducting code reviews, and mentoring junior engineers. Their project descriptions highlight problem-solving, performance optimization, and delivering tailored solutions, indicating a proactive and results-driven work attitude. The emphasis on clean architecture and performance optimization suggests a commitment to high-quality engineering practices. The candidate's involvement in AI-powered automation projects also indicates an innovative mindset.