Senior Software Engineer focused on building robust developer tools, machine learning pipelines, and backend systems. I am passionate about building scalable C#/.NET backend services, writing clean, typed Python code, and contributing to open-source ecosystems.
| Organization & Repository | Merged PRs | Engineering Impact & Core Fixes |
|---|---|---|
 microsoft/agent-frameworkMicrosoft • Multi-Agent Orchestration & Workflow Framework   |
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• Workflows & Execution: Added keyword-only parameter support for RunContext and input payloads in functional workflows, preventing positional argument type errors (fixing #9324). |
| microsoft/PyRIT Microsoft • Python Risk Identification Tool for GenAI (AI Red Teaming)   |
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• AI Red Teaming & Security: Identified credential leak blindspots in AI red teaming and implemented detection for Azure SAS tokens, Service Bus / Event Hub connection strings, and Databricks PATs in CredentialLeakScorer (authored #3468, merged in #3469).• Target Validation & Hardening: Identified missing bounds checks in prompt targets and added strict range & non-finite ( NaN/inf) validation for presence_penalty and frequency_penalty across OpenAI and LiteLLM targets (authored #3498, merged in #3530). |
 huggingface/transformersHugging Face • State-of-the-Art ML & LLM Framework   |
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• LLM Inference & Pipelines: Preserved model-level generation_config precedence over pipeline defaults across text and audio generation pipelines (fixing #47752). |
 cloudflare/workers-sdkCloudflare • Serverless Edge Runtime   |
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• Edge Runtime & DX: Forwarded Cloudflare Access (access.dev) configuration to Miniflare in @cloudflare/vite-plugin via unstable_getMiniflareWorkerOptions() to enable local Zero Trust auth emulation. |
 feast-dev/feastLinux Foundation AI • ML Feature Store   |
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• Latency & Scalability: Implemented async DynamoDB connection pre-warming (describe_limits) to eliminate ~20ms cold-start latency.• CI/CD & Protocol: Downgraded & locked Model Context Protocol (MCP) pin ( 1.29.0) to resolve core protocol incompatibilities and unblock test pipelines.• Type Safety: Corrected PyTorch TorchTensor TypeAlias runtime parsing in strict static analysis. |
 facebookresearch/hydraMeta AI Research (FAIR) • Config Engine   |
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• Distributed Systems: Fixed Ray cluster initialization bug that overrode shared object store memory on pre-existing clusters. • Config Engine: Normalized group default paths containing slashes and resolved deferred interpolations early in the Defaults List. |
- Languages: C#, Python (strict typing, async & performance), TypeScript/JavaScript, SQL, C++, Shell Scripting
- AI & Data Systems: Transformers, Feast (Feature Stores), PyTorch, Ray, AWS DynamoDB, Redis, NumPy, pandas
- Frameworks & Architecture: .NET Core, Cloudflare Workers / Miniflare, Hydra, OmegaConf, FastAPI, gRPC, Model Context Protocol (MCP)
- Developer Tooling & CI/CD: Git, Docker, GitHub Actions, Ruff, mypy, Pyre, pytest, Antlr4
- Contributing to Microsoft Agent Framework (Multi-Agent Workflows & Execution), Microsoft PyRIT (AI Red Teaming & Risk Identification), Hugging Face Transformers (Inference Pipelines & Generative AI), Cloudflare Workers SDK, Feast (Feature Stores & MCP), and Meta / Hydra ecosystems.
- Building resilient, high-throughput backend services, edge worker extensions, and reproducible ML pipelines.
- Open to collaborating on open-source cloud infrastructure, edge computing, and distributed backend systems.
“Clean code always looks like it was written by someone who cares.”