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Senior Software Engineer | Architecting Cloud-Native Microservices & Agentic AI Solutions | Python, Node.js, React, AWS
As an innovative Senior Software Engineer with a decade of progressive experience, I specialize in architecting scalable cloud-native platforms and applied Artificial Intelligence ecosystems that drive enterprise transformation. My career spans across diverse, high-impact industries—from IoT green technology and high-volume FinTech transaction systems to advanced e-commerce CRMs and global insurance analytics. I bring deep technical expertise in engineering full-stack, distributed microservices utilizing Python, Node.js, and React, underpinned by resilient multi-cloud infrastructures on AWS and Azure. Beyond traditional software development, I have a proven track record of designing highly concurrent, event-driven architectures utilizing Kafka, Docker, and Kubernetes, while managing complex data topologies across both relational and NoSQL environments, including PostgreSQL, MongoDB, and Amazon DynamoDB. Most recently, I have spearheaded the integration of cutting-edge AI, pioneering the development of serverless GenAI inference pipelines, LLM integrations, and autonomous Agentic AI workflows. By bridging the gap between bleeding-edge machine learning and robust infrastructure as code via Terraform, I consistently deliver high-performance digital solutions that accelerate time-to-market, automate complex enterprise reasoning, and generate millions in tangible operational cost savings.
Carleton University
Bachelor of Science, Computer Science
January 1, 2012 – January 1, 2016
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Cultural Fit Analysis
The candidate's experience spans various domains including insurance, high-growth startups, e-commerce, retail analytics, and IoT, indicating a broad interest and adaptability to different business contexts. Their consistent involvement in modernizing platforms, integrating advanced AI, and optimizing operational efficiency aligns well with innovative and fast-paced environments. The breadth of technologies and methodologies used suggests a continuous learning mindset and a collaborative approach to engineering challenges.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through architectural leadership and quantifiable impact. Their experience across diverse projects and technologies suggests adaptability and a proactive approach to adopting new paradigms like Agentic AI. The detailed descriptions imply strong communication skills in articulating complex technical solutions and their business value.