Principal Data Engineer @ Red Hat | AI/ML Enthusiast | Open Source Contributor | Platform Thinker
Welcome to my GitHub! With 14+ years in IT and nearly a decade at Red Hat, I lead large-scale data engineering, AI/ML integration, and cloud platform projects. I'm passionate about building intelligent, scalable systems—especially where data, AI, and business meet.
- Building AI-powered data product pipelines using Snowflake, dbt, and OpenShift AI
- Leading projects across data engineering, agentic memory systems, and CI/CD automation
- Contributing to enterprise transformations through platform modernization and open-source AI tools
| Area | Tools |
|---|---|
| Programming | Python, SQL, Shell, JavaScript |
| Data Platforms | Snowflake, Starburst, dbt, Fivetran |
| Orchestration | Apache Airflow (Astrocloud), GitLab CI/CD |
| AI & ML | LLMs (Gemini, OpenAI, HuggingFace), vLLM, Triton, Inference |
| Cloud & DevOps | AWS, OpenShift, Git, Docker |
| Sales/Marketing Data | Marketo, Salesforce, HG Insights, Adobe AAM, Bombora, Eloqua |
Fivetran + dbt + Snowflake
Marketing automation sync from Marketo → Snowflake using auto-ingest and modular dbt models.
Streamlit + Gemini + dbt + GitLab
Smart UI to generate staging models, join configs, tests, and full dbt data products using Gemini 2.5 Flash + LangChain.
Migrated Git repos and CI/CD workflows. Solved blockers for broken CI/CD in marketing pipelines.
Rebuilt batch ETL pulling Starburst → formatting → pushing to Adobe AAM S3.
Built scalable job to ingest firmographic data into Snowflake from HG v2 feed, replacing legacy systems.
Migrated legacy data pipelines to Dataverse with modular dbt modeling and Snowpipe ingestion.
| Repo | Description |
|---|---|
fluvii |
Framework to streamline marketing data flows across internal teams |
qlikreader |
CLI/SDK to extract structured data from Qlik dashboards |
python-outreach |
Python client to interact with Outreach CRM API |
dwm |
Personal fork with productivity enhancements to dynamic window manager |
I'm currently building Memorix AI – a next-gen Agentic Memory SDK and platform to give AI agents recall, context, and privacy-aware memory.
| Repo | Purpose |
|---|---|
memorix-sdk |
Core SDK with modular API, YAML config, tiered memory |
memorix-server |
REST API server exposing MemoryAPI |
memorix-embedders |
Embedding plugins for OpenAI, Gemini, etc. |
memorix-vectorstores |
Vector store plugins for FAISS, Qdrant, Chroma |
memorix-meta |
Metadata integrations (DuckDB, Postgres, etc.) |
memorix-roadmap |
Public issues, feature planning, RFCs |
- Sprint Facilitator – Led cross-team agile planning & delivery
- CI/CD Optimization – Automated broken CI/CD across GitLab Marketing repos
- Data Governance Lead – Approved for PII hosting in non-prod Snowflake, implemented privacy-safe workflows
- Patent Planning – Currently drafting patents around agentic memory systems and AI platform design
- Red Hat Mentoring Program – Mentee and future mentor in the company-wide career growth initiative
- Launch open-source tools that bridge data platforms and agentic AI workflows
- Advance in LLM inference, memory systems, and AI orchestration
- Build enterprise-grade AI-first data platforms
- Work in memory systems, inference optimization, and agent design
- GitHub
- Email:
[email protected]
Thanks for stopping by!
Let’s build something impactful together—especially at the intersection of data, AI, and open source.