I build production AI systems that turn model capability into usable enterprise workflows: agent orchestration, fine-tuning, retrieval evaluation, explainability, analytics products, and the platform plumbing needed to keep all of it observable.
| Area | Current focus |
|---|---|
| Agent platforms | Multi-agent coordination, deterministic tool execution, human-in-the-loop confirmations, tool-call graphs, and enterprise workflow automation. |
| LLM operations | SFT, DPO, PPO, QLoRA, Axolotl, vLLM, checkpoint recovery, model serving, and failure diagnostics for production AI workflows. |
| Retrieval and evaluation | RAG/GraphRAG over long-form and graph-structured documents, ranking quality, BM25, MMR, reranking, and nDCG@k measurement. |
| Explainability and analytics | Model-agnostic attribution, PDP workflows, KPI design, DuckDB/Arrow pipelines, SHAP alignment, and stakeholder-facing analytics products. |
| Platform engineering | FastAPI services, Kubernetes reconciliation loops, productized launch flows, health checks, observability, and reusable enterprise assets. |
I care about systems that are measurable, debuggable, and useful to the people who have to run them after the demo is over.
- Architected an NVIDIA NeMo Agent Toolkit LLM runtime for dynamic reasoning chains, multi-agent coordination, deterministic tool execution, and enterprise workflow automation.
- Built a FastAPI execution layer that converts user/model intent into runnable agent configurations across tools, document workflows, prediction scoring, and human-in-the-loop approvals.
- Designed a pluggable enterprise tool registry with persisted execution metadata and tool-call graphs for observability, reproducibility, workflow reuse, and operational debugging.
- Productized an OpenClaw-based agent platform with sandbox launch flows, tenant configuration, health checks, gateway reachability checks, Slack access, streaming responses, and failure diagnostics.
- Led a fault-tolerant fine-tune-and-serve platform for enterprise AI use cases, translating customer requirements into scalable experimentation and deployment workflows.
- Implemented SFT and DPO workflows using Axolotl and QLoRA; automated checkpoint detection and recovery, reducing manual setup and monitoring effort by 80%.
- Enabled a Fortune 50 telecom client to launch a security metadata classifier on schedule through a productionized fine-tuning and serving workflow.
- Designed retrieval workflows for graph-structured and long-form enterprise documents while balancing ranking quality, token constraints, modular experimentation, and production evaluation.
- Improved retrieval nDCG@k by 25% through iterative tuning of BM25, Maximal Marginal Relevance, and reranking components.
- Led a standardized model explainability/PDP analytics workflow that reduced per-feature computation time by 17x while maintaining median curve fidelity around 0.90.
| Build | What it explores |
|---|---|
| Open Prior Auth Workbench | A FHIR-first healthcare AI workbench for discovering coverage requirements, prefilling documentation questionnaires, assembling submission-ready packets, and tracking case status through human review. |
| Multi-agent commerce systems | A Swiggy-style production multi-agent system spanning food, delivery, and dine-out domains. |
| LLM workflow tools | Obsidian/n8n LLM-wiki writing agents, MiroFish-style LLM councils for risk decisioning, GEN-1 robotics concepts, and Codex agentic OS experiments. |
Agentic AI & LLM systems
multi-agent orchestration · tool registries · AgentOps · human-in-the-loop flows · RAG · GraphRAG · SFT · DPO · PPO · QLoRA · Axolotl · vLLM · LangChain · LlamaIndex · NVIDIA NeMo Toolkit · NeMo Guardrails · OpenAI · Vertex AI
Platforms, data & backend
Python · SQL · Cypher · FastAPI · Flask · PySpark · DuckDB · PostgreSQL · MongoDB · Neo4j · Chroma · AWS · GCP · Docker · Kubernetes · GitHub Actions · OpenTelemetry · Langfuse
ML, product & analytics
PyTorch · TensorFlow · Keras · scikit-learn · LightGBM · SHAP · ONNX · PDP · KPI design · stakeholder discovery · PRDs · MVP roadmaps · success metrics
| Project | Signal |
|---|---|
| Gaming-Industry-Analysis | Data analysis of a 40-year gaming dataset, including genre/platform trends, sales patterns, publisher contributions, and a companion long-form article. |
| Prediction-of-Customer-Churn | ANN-based churn prediction for banking customers with ROC, confusion matrix, pie chart, KDE, and counter-plot analysis. |
| Disaster-Response-Pipeline-Web-App | End-to-end ETL, NLP, and ML pipeline powering a web app for classifying disaster-response messages. |
| Recommendation-of-Refactoring-Techniques-to-address-Self-Admitted-Technical-Debt | SATD detection and refactoring recommendation work from my RIT capstone. |
- The Essential Guide to Effectively Summarizing Massive Documents, Part 1
- Advancing the Power of Retrievers in RAG Frameworks
- Customer Segmentation, Identifying the Profit Among the Loose Ends.
- The Last 40 Years of Gaming Industry, Unlocked.
Auto-updated from my Medium RSS feed.
Other work: PPO post-training for Llama text-to-SQL, SATD detection and refactoring recommendation, and histopathology carcinoma classification using multi-level spatial fusion.
- Authored the core problem statement and evaluation metrics for the UC Berkeley AI Summit 2023 - Data Science Hackathon.
- Represented Aible at Ai4 2023, Google Next 2024, and AWS Summit 2024, translating technical systems into demos and customer conversations.
- Write long-form pieces on document summarization, retrieval systems, RAG evaluation, customer segmentation, applied AI, and gaming industry analysis.
| Signal | What to look for |
|---|---|
| Languages | A practical mix of data, backend, notebooks, and web-facing work rather than a single narrow stack. |
| Repositories | Public projects skew older but show the arc from analytics and ML pipelines toward AI-native systems. |
| Writing | Medium activity makes the technical reasoning visible, especially around retrieval, summarization, and applied analytics. |
| Activity feed | Recent public GitHub events are generated below so profile movement is visible between larger project updates. |
- 🎉 Merged PR #45 in vinzlercodes/DecisionRisk
- 🎉 Merged PR #46 in vinzlercodes/DecisionRisk
- 🎉 Merged PR #47 in vinzlercodes/DecisionRisk
- 🔒 Closed issue #10 in vinzlercodes/DecisionRisk
- 🗣 Commented on #10 in vinzlercodes/DecisionRisk
- 💪 Opened PR #47 in vinzlercodes/DecisionRisk
- 💪 Opened PR #46 in vinzlercodes/DecisionRisk
- 💪 Opened PR #45 in vinzlercodes/DecisionRisk
- 🎉 Merged PR #44 in vinzlercodes/DecisionRisk
- 🎉 Merged PR #43 in vinzlercodes/DecisionRisk
Fun fact: I will absolutely over-analyze both fragrance notes and video-game industry trends.