AI Engineer with 10+ years in AI/ML, DevOps & Cloud Engineering
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Assessing your cultural and operational fit
Accomplished Lead AI/ML Engineer with 10+ years of experience in orchestrating agentic AI systems, RAG workflows, and MLOps. Proven ability to drive enterprise alignment, optimize cloud infrastructure (70% cost reduction), and enhance deployment velocity (40% improvement). Expertise in LLM fine-tuning, Python, AWS, Kubernetes, and CI/CD pipelines. Seeking to leverage extensive experience in building robust, scalable AI solutions to drive innovation and efficiency for your team.
Government College of Engineering
B.S. · Computer Engineering
N/A – Present
Old Dominion University
M.S. · Computer Science
N/A – Present
New York Life Insurance
Development Manager – Platform & Maintenance Team
October 1, 2024 – November 1, 2025
India
GE Healthcare
Senior Build & Release Engineer – DevOps / SRE / Cloud Engineer
March 1, 2021 – October 1, 2024
India
MetLife
Sr. Process Improvement Consultant – Global Release Management
September 1, 2019 – November 1, 2020
India
Garmin International
Technical Lead Software Engineer – Software Configuration, Builds & Tools
June 1, 2012 – September 1, 2019
India
ITIL 4.0 Certified
Unknown
June 1, 2026 – Present
Generative AI & LLMs
Udemy
June 1, 2026 – Present
Oracle DBA Certified
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple large enterprises (New York Life, GE Healthcare, MetLife, Garmin) and various roles (Development Manager, Senior Build & Release Engineer, Sr. Process Improvement Consultant, Technical Lead Software Engineer) indicates adaptability and a broad understanding of different organizational cultures and operational models. Their involvement in global teams and focus on process improvement aligns well with a culture that values collaboration, efficiency, and continuous improvement. The blend of AI/ML, DevOps, and platform engineering skills suggests a proactive and versatile individual who can contribute across different technical domains.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and management skills, having led a team of 9 associates and functioned as a Scrum Master. Their experience in coordinating with external vendors and internal teams, harmonizing release practices across global teams, and spearheading platform engineering initiatives indicates excellent collaboration, communication, and operational management capabilities. The focus on reliability, compliance, and auditability in regulated environments suggests a meticulous and responsible approach to engineering.