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Arizona State University
Frontend Developer
June 21, 2026 – Present
transformer-compiler-workbench
May 10, 2026 – Present
ONNX/MLIR compiler workbench for transformer inference graphs: analysis, safe rewrites, ORT validation, and optional lowering.
View Projectidentity-risk-engine
March 20, 2026 – Present
Open-source session-level identity risk scoring for fintech
View Projectonchain-sybil-detector
March 20, 2026 – Present
Open-source behavioral Sybil attack detection for blockchain networks
View Projectagentforce-reliable-rag-agent
March 3, 2026 – Present
Production-ready Agentforce reliable RAG agent for Salesforce scratch orgs
View Projectnsys-llm-explainer
February 10, 2026 – Present
Offline Nsight Systems SQLite explainer for LLM inference hotspots
View Projectlocalmod
December 27, 2025 – Present
Self-hosted content moderation API that outperforms Amazon Comprehend. 100% offline, your data never leaves your server. Text + Image moderation.
View Projectvoice-ai-ordering-agent
December 4, 2025 – December 7, 2025
A fully functional conversational AI system for restaurant phone ordering using Twilio, Whisper, LLM, and RAG
View Projectvlm-clt-training
November 4, 2025 – Present
Cross-Layer Transcoder training for Vision-Language Models - Adapted from EleutherAI for VLMs
View Projectsparse-clt
October 27, 2025 – Present
Cross-Layer Transcoder (CLT) library for extracting sparse interpretable features from transformer models. Batched processing, memory-efficient, works with any LLM/VLM.
View Projectattribution-graph-optimization
October 27, 2025 – Present
4.76x Faster Attribution Graph Generation for LLMs and VLMs - Achieves 79% speedup by eliminating Python loops and vectorizing GPU operations. Works with GPT, LLaMA, Qwen, LLaVA, CLIP
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AI/ML, backend, and system-level development, with only one project (agentforce-reliable-rag-agent) explicitly listing frontend technologies (HTML, JavaScript, CSS). The target role is 'Frontend Developer', which presents a significant mismatch. While the candidate demonstrates strong technical skills, the lack of dedicated frontend projects or experience makes the cultural fit for a specialized frontend role questionable. The current 'Frontend Developer' role at Arizona State University is listed as current but without details, making it hard to assess its relevance. The candidate's experience level is 0, which contradicts the depth of their personal projects, suggesting a potential data inconsistency or a very early career stage with advanced self-learning.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong drive for innovation and problem-solving, often tackling complex, cutting-edge AI/ML challenges. The focus on open-source contributions and self-hosted solutions indicates a proactive and independent work style. However, without specific psychometric test results or interview data, it is difficult to assess collaboration, stress handling, or direct operational fit beyond technical aptitude.