Lead Java Engineer with 9+ years in Java, Spring Boot & AI
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AI Full Stack Lead with 9+ years of experience in Java, Spring Boot, and Microservices, specializing in Product Carbon Footprint (PCF) regulations and AI-driven transformation. Proven ability to deliver client-focused solutions and execute end-to-end software projects for international markets, with hands-on expertise in GenAI, Agentic AI, and Context Engineering. Strong backend and modern frontend experience leveraging AWS and Azure to build and scale production-grade distributed systems, leading initiatives with significant business impact.
Narsee Monjee Institute of Management Studies
Master's in finance
August 1, 2021 – June 30, 2022
Deenbandhu Chhotu Ram University Of Science And Technology
B.Tech · Computer Science
August 1, 2014 – June 30, 2017
EPAM Systems
Technical Lead / AI Full Stack Lead
March 1, 2024 – Present
India
Adobe
Computer Scientist I
October 1, 2022 – March 1, 2024
India
Arcesium
Senior Full Stack Developer (Contract)
December 1, 2021 – September 1, 2022
India
Verizon
Full Stack Developer
January 1, 2018 – October 1, 2021
India
Infogain
Intern
July 1, 2017 – January 1, 2018
India
AI-102
Unknown
March 1, 2026 – March 1, 2026
PGDM in Data Engineering
Unknown
January 1, 2023 – Present
NIELIT Certified Java developer
NIELIT
September 1, 2013 – Present
Cultural Fit Analysis
The candidate's diverse project experience across various industries (Bosch, Adobe, Arcesium, Verizon) and roles (Technical Lead, Computer Scientist, Senior Full Stack Developer) suggests adaptability and a broad perspective. Their involvement in AI-driven transformation and sustainability-aligned projects (PCF platform) indicates a forward-thinking mindset and alignment with modern technological and ethical considerations. The breadth of skills, from core Java to GenAI and cloud platforms, shows a continuous learning attitude.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentoring, and Agile/Scrum experience, which are crucial for a Lead role. Their ability to drive AI adoption and deliver significant engineering output using AI-assisted workflows suggests a proactive and innovative operational fit. Experience collaborating with international stakeholders and distributed teams indicates strong communication and teamwork skills.