Principal Engineer | Building high-scale, event-driven systems | Cloud, Kafka, OpenSearch, GenAI, Observability
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Self
Data Scientist
June 22, 2026 – Present
production-systems-labs
May 30, 2026 – Present
Runnable Java experiments - tail latency, queueing theory, hedged requests, coordinated omission, backpressure, SLO engineering. Experiments use topic-based class and task names; article numbers are compatibility aliases.
View Projectagentic-ai-stress-suite
February 22, 2026 – Present
Production-grade proof-of-concept demonstrating empirical trade-offs in RAG-to-agent workflows.
View Projectspringboot-kafka-observability
November 20, 2025 – November 24, 2025
A real-time event streaming application that consumes Wikimedia recent changes via Server-Sent Events (SSE), publishes to Kafka, and persists to MongoDB with comprehensive observability.
View Projectds-algo
November 15, 2025 – November 19, 2025
This is a Java-based data structures and algorithms learning repository. It contains implementations of fundamental data structures and solutions to common algorithm problems, organized by topic and pattern.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and experimentation across various technologies (Java, Python, JavaScript, DevOps). While there's a project directly related to AI, the overall portfolio is very broad, which could indicate adaptability but also a lack of deep specialization in data science. The 'Self' employment as 'Data Scientist' with a future start date and no listed skills makes it difficult to assess current cultural fit or practical experience in a team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.