Experienced full stack software and AI engineer with 5 years of experience. Skilled in multiagent AI/ML systems, complex React UIs, and full stack development. Currently building multi-agent LLM-based solutions to solve problems in an enterprise environment.
Startup experience founding, building, and running MedMeta, an AI-powered platform for medical education. Strong background in taking AI systems from prototype to production at scale.
> Experience
Software Engineer III
Working independently on scalable, production-ready machine learning and LLM systems. Building multi-agent solutions, research tools, and code generation systems.
- Designed, built, and deployed a production-ready multi-agent solution built on Google Agent Development Kit (ADK) to handle a high-volume automation
- Designed a code conversion system using LLMs to migrate between UI frameworks, estimated to reduce total migration effort by 60-70%
- Created an innovative UI image-to-code generation system leveraging hybrid code/image tokenization and embeddings
- Led a team of six engineers in development of a LLM RAG-based conversational interface
- Prototyped more than 15 MVP experiences for client-facing applications, working with usability testing and R&D teams to deliver data for go/no-go decisions
Founder & CEO
Building the future of medical education tools using advanced AI-powered data processing systems to extract insights from research and surface them via conversational AI.
- Architected end-to-end application infrastructure on Google Cloud and Azure, setting organization policies and ensuring scalability
- Designed and built an LLM-based research ingestion pipeline with workflows to extract information from research papers and journal articles
- Developed and launched customer-facing iOS app (React Native) and web app (React), enhancing user engagement through strategic product management
- Established robust LLM tracing and monitoring systems throughout the application to enable A/B testing and bias monitoring
- Built and deployed a robust API with over 40 endpoints in 5 months
Program Manager
- Managed team of 1 direct report manager and 30-45 operational staff
- Designed curriculum for training programs
- Performed and compiled demographic analysis for corporate expansion
> Open Source
Local multi-agent orchestration framework for building and running autonomous agent systems on your own infrastructure
TypeScript types that understand natural language. Drop-in replacements for native types with embedded LLM intelligence for parsing, validation, and classification
> Skills
AI/ML & LLMs
Multi-agent Systems, Agent Design, RAG, Advanced RAG, LLM Evaluation, Prompt Engineering, Fine Tuning, Neural Networks, Hugging Face Transformers, PyTorch
Agent Frameworks
Google ADK, OpenAI Agent SDK, LLM Orchestration, AI Testing Pipelines, LLM Cost Optimization
ML Infrastructure
MLOps, AI Ops, Vector Databases (Pinecone, OpenSearch), Semantic Search, KNN Search, LLM Tracing & Monitoring
Languages
Python, TypeScript, JavaScript
Cloud & Infrastructure
AWS (Certified Developer Associate), Google Cloud, Azure, Docker, CI/CD, Data Pipelines, Step Functions
Application Development
React, React Native, FastAPI, Node.js, GraphQL
> Education
B.S. Computer Science • GPA: 3.7
14-week full-stack development bootcamp (C#/.NET Core)
Sustainable Business and Computer Science Engineering
> Patents
Method and System to Generate Sets of Preference Aware Financial Plans
> Certifications
Amazon Web Services
> Contact
Interested in working together or discussing AI systems?