Version-controlled, modular resume system aligned to platform engineering, data architecture, and AI-driven systems.
Built using modular LaTeX with role-based variants (platform, architect, AI, mission)
Each resume is tailored to a specific role type while sharing a common core.
I design and build data platforms that treat pipelines as products, with emphasis on:
- Data quality, governance, and lifecycle ownership
- Scalable ingestion, transformation, and serving patterns
- Observability and operational metrics
- Hybrid constraints (on-prem + cloud integration)
- Distributed data systems (Spark, Kafka)
- Medallion architecture (Bronze/Silver/Gold)
- Incremental and batch/stream hybrid pipelines
- Data validation, anomaly detection, and quarantine design
- API-first data access patterns
- Decoupled ingestion, processing, and serving layers
- Hybrid platform design (on-prem + cloud)
- System-level data lifecycle management
- Retrieval-Augmented Generation (RAG)
- Vector databases (Qdrant, pgvector)
- Embedding pipelines and semantic search
- Integration of LLM workflows into data systems
- Kubernetes (k3s), containerized services
- FastAPI-based APIs
- systemd-based orchestration
- Local-first development environments
End-to-end data platform systems across ingestion, processing, observability, and AI-driven retrieval.
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Dev Stream
Streaming ingestion system with partitioned landing zone and replayable architecture -
Hybrid Metrics Platform
Hybrid platform exposing pipeline observability metrics via API -
RAG with Kubernetes Documentation
RAG pipeline with medallion processing and vector search -
Context-Aware Pareto Optimization
Framework for modeling trade-offs and decision optimization
This repository reflects a modular resume system:
- Shared core content (experience, projects, education)
- Variant-specific summaries and skill emphasis
- Targeted outputs for platform, architecture, AI, and mission roles
This repo demonstrates:
- Systems-oriented data engineering
- Platform-level architectural thinking
- Practical alignment between engineering and operational outcomes