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AI Engineer with 4+ years in LLM & Distributed Systems
Software / Al Engineer with a Master's in Computer Science and a track record of building scalable, production-grade distributed systems across backend and full stack. Prior experience at Amazon and Coverfox; currently leading the design and deployment of Al-powered, microservices-based systems at Optivaize from LLM and retrieval-augmented generation (RAG) pipelines to agentic workflows, Dockerized services, and CI/CD. Strong in Python, Go, and cloud-native architecture, with end-to-end ownership from system design to production.
University of North Carolina, Charlotte
M.S. · Computer Science
August 1, 2021 – June 30, 2022
University of Mumbai
B.E. · Information Technology
August 1, 2015 – June 30, 2019
Optivaize.nl
Al / Software Engineer
January 1, 2026 – Present
India
Amazon
Software Development Engineer
September 1, 2022 – September 1, 2024
USA
CoverFox
Software Engineer
August 1, 2019 – September 1, 2020
India
Automated Essay Evaluation (ML/NLP)
June 30, 2026 – Present
ML pipeline scoring free-text essays; feature engineering and model training in Python.
View ProjectRouteSpotter
June 30, 2026 – Present
Route discovery and mapping application with a data-driven backend.
Cultural Fit Analysis
The candidate's diverse experience across different company sizes (Amazon, Optivaize.nl, CoverFox) and project types (AI/ML, UI frameworks, financial backend) indicates adaptability and a broad skill set. The focus on AI/ML and distributed systems aligns well with an AI Engineer role, suggesting a strong interest and commitment to the field. The detailed descriptions of contributions and impact demonstrate a proactive and value-driven mindset, which would likely contribute positively to a collaborative and innovative culture.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership in AI system design and deployment, suggesting excellent problem-solving, critical thinking, and project ownership skills. Experience at Amazon implies adaptability and ability to thrive in fast-paced, high-performance environments. The detailed descriptions of architectural decisions and measurable outcomes reflect a results-oriented and analytical approach. The remote work experience at Optivaize.nl also suggests self-management and effective remote collaboration capabilities.