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Open Source Contributor
Cross-ecosystem maintainer · velero, ray-project, kubeflow, kubernetes-sigs, Cloud-CV, modelcontextprotocol2025 - Present
GitHub- •Merged pull requests across major open-source projects including velero-io, ray-project, Kubeflow, kubernetes-sigs/headlamp, Cloud-CV/EvalAI, the MCP Python SDK, ZenML, and RISC-V infrastructure
- •Shipped reliability fixes such as routing orphaned backup deletion through DeleteBackupRequest in velero and hiding GPU/GRAM columns when absent in the Ray dashboard
- •Fixed hard bugs others skipped: MCP respond()/cancel() concurrent-cancellation race, Headlamp events table crash on missing source, and LogReg edge cases in EvalAI
- •Improving DX and docs across ZenML GitBook rendering, JSON-Schema test-suite spec links, and Python SDK guards
TypeScriptPythonGoRustKubernetesDockerGit
SCOUT
Self-Evolving Memory Agent2025 - Present
GitHub- •Built an AI agent with autonomous memory management that learns, recalls, and evolves its knowledge base over time without human intervention
- •Designed a persistent memory layer using LangChain and ChromaDB that stores, retrieves, and compacts long-horizon context across sessions
- •Wired retrieval-augmented generation (RAG) so the agent grounds answers in its own evolving memory rather than static context
- •Exposed a FastAPI service for memory ingestion, retrieval, and diagnostics with live agent feedback loops
PythonLangChainChromaDBRAGGPT-4FastAPI
NEXUS
Multi-Agent Orchestration Framework2025 - Present
GitHub- •Built a framework for coordinating multiple AI agents to solve complex tasks through collaborative planning and execution
- •Implemented role-specialized agents that plan, delegate, and verify subtasks using AutoGen and CrewAI
- •Added an event-driven runtime with Redis pub/sub and WebSockets for real-time inter-agent communication
- •Enabled conversational handoffs so a coding assistant can spawn, monitor, and merge parallel agent work
PythonAutoGenCrewAIRedisWebSockets
VERITAS
Truth Verification Engine2025 - Present
GitHub- •Built an AI-powered fact-checking system that cross-references multiple sources to verify claims in real-time
- •Plumbed a RAG pipeline over GPT-4 and BERT embeddings to retrieve supporting or contradicting evidence for a claim
- •Modeled entity and source relationships in Neo4j to surface provenance and confidence paths
- •Delivered verdicts with source citations through a FastAPI endpoint
PythonGPT-4BERTRAGFastAPINeo4j
JARVIS
Local AI Assistant2025 - Present
GitHub- •Built a fully local AI assistant integrating LLMs, voice interaction, and automation tools for privacy-first task execution
- •Wired Whisper for voice transcription and local model inference so queries never leave the machine
- •Automated system and workflow tasks through a FastAPI service with tool-calling
PythonLLMsWhisperFastAPILocal Inference