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Work Background
FreelanceAI Software Engineer
Nov. 2024Developed a sophisticated Retrieval-Augmented Generation (RAG) system with advanced hallucination detection capabilities. Key innovations include: Implemented a novel attention-based hallucination detection system that monitors and analyzes language model attention patterns in real-time
Designed multiple query reformulation strategies to recover from detected hallucinations by intelligently retrieving relevant context
Built a modular architecture supporting different reasoning approaches: Token-level analysis
Entity recognition
Attention weight patterns
Entropy-based uncertainty detection Technical highlights: PyTorch-based attention analysis system
Integration with Elasticsearch for high-performance retrieval
Support for multiple LLM architectures including Llama models
Automated evaluation framework for comparing different RAG strategies The system demonstrates significant improvements over traditional RAG approaches by: Actively detecting and correcting hallucinated content
Maintaining contextual coherence through sophisticated retrieval strategies
Supporting multiple question-answering formats from yes/no to complex reasoning chains Implemented and tested on multiple datasets including StrategyQA, WikiMultiHopQA, HotpotQA, and IIRC, demonstrating robustness across different reasoning tasks.
FreelancerAI Backend+Database Developer
Dec. 2022- Developed an innovative Backend+Database system powered by a large language model (LLM), which infers business logic based on the name of the API call.
- Leveraged the power of AI to encode business logic, bypassing the need for traditional programming languages and databases. This novel approach allows for faster prototyping and iteration of frontend applications.
- Created an adaptable system where the backend format can be adjusted dynamically to suit the frontend needs, demonstrating my ability to integrate flexible and user-friendly solutions.
- Conceptualized and built a system where mis-typing an API name doesn't lead to an error, increasing system resilience and usability.
- Used LLM to handle backend logic for a to-do list application, demonstrating the system's practicality in handling CRUD operations.
FreelancerSoftware Architect
Sep. 2022I independently designed and developed Erik's Full-Stack Personalized AI Assistant, a full-stack application that enables the conversion of any document or resource into data accessible by pluggable large language models (LLMs). One of the goal of this project was to use pluggable open-source LLMs, with data siloed by workspace/tenant boundaries to protect company proprietary information. This project highlights my proficiency in creating AI tools, managing large datasets, and integrating various AI models and vector solutions.
SynamediaDistinguished Software Engineer
Oct. 2018
Cisco SystemsTechnical Leader II
Nov. 2011 - Oct. 2018Greater Philadelphia AreaCisco Systems acquired BNI Video in November 2011.
Beaumaris Networks, Inc.Software Architect
Jun. 2009 - Dec. 2011North Wales, PASenior architect for video control plane products. Responsible for enterprise cloud architecture, distributed resource management, legacy communications design, systems integration, and component detailed design.
MotorolaSoftware Staff Principal Engineer
Sep. 2006 - Jun. 2009Horsham, PAArchitect and team lead for switched digital video (SDV) and video on demand (VOD) resource management. In addition, developed applications for mining viewing statistics and television addressable advertising.
Vertasent LLCPrincipal Engineer
Apr. 2005 - Sep. 2006Motorola acquired Vertasent in September 2006.
Concurrent ComputerSoftware Engineer
Jan. 2001 - Dec. 2005
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