CS @ Arizona State University · Graduating May 2026
I build AI agents, break LLMs for a living, and occasionally predict electricity prices
Adversarial evaluation harness for LLM agents with automated safety grading
- Proposer → Critic → Revision debate pipeline to expose model failure modes
- Automated metrics: hallucination rate, refusal accuracy, policy compliance
- Async evaluation via Redis/RQ with full trace storage in Postgres
- Prompt-injection detection and controlled execution environments
- Tech: Python · FastAPI · PostgreSQL · Redis · RQ · Docker
Full-stack AI safety application enforcing configurable rules on LLM outputs
- Classifier-based pre/post generation gating with configurable harm thresholds
- Model-independent rule engine preventing jailbreak overrides
- Red-team evaluation pipeline with structured trace logging
- Tech: Python · FastAPI · React · Scikit-learn · Docker
Production-grade AI system for voice-driven patient scheduling
- Real-time chat and voice workflows with hallucination-safe backend validation
- Deployed on AWS EC2 with Nginx, Redis session persistence
- Tech: Node.js · TypeScript · React · Vapi.ai · Groq · Redis · AWS
Quantile forecasting model for EU electricity markets
- LightGBM q10/q50/q90 model — 60% reduction in MAE vs baseline
- Integrated Anthropic API with JSON audit logs and hard fallback paths
- Tech: Python · LightGBM · Anthropic API · Pandas
Multi-tenant backend for organizational intent inference
- Semantic drift detection using embeddings to surface early signals
- Tenant-scoped REST APIs with pgvector similarity and timeline queries
- Tech: FastAPI · PostgreSQL · pgvector · SQLAlchemy · Docker
Macro scenario engine with probabilistic modeling
- Monte Carlo simulations across geopolitical and economic scenarios
- Integrated FRED and GDELT data sources with 1.03% MAE validation
- Tech: React · TypeScript · Python · Monte Carlo
Agent orchestration framework focused on measurable outcomes
- Tech: Python
Calibrated sports outcome predictor
- XGBoost classifier · ROC-AUC 0.79 on 570 out-of-sample matches
- Feature engineering with odds-derived metrics and ELO ratings
- Tech: Python · XGBoost · Scikit-learn · Streamlit
Systematic trading strategy with walk-forward validation
- SMA crossover with ATR-based stops and portfolio simulation
- Backtested across stocks, ETFs, and crypto
- Tech: Python · Backtrader · yfinance
Languages: Python · C++ · TypeScript · Java · SQL
ML/AI: LightGBM · XGBoost · Scikit-learn · TensorFlow · Anthropic SDK · pgvector
LLM Systems: Adversarial evaluation · Red-team pipelines · Safety gating · Prompt-injection mitigation
Backend: FastAPI · Flask · Django · Redis · PostgreSQL · Docker · REST APIs
Frontend: React · TypeScript
Tools: Git · Docker · CI/CD · SQLAlchemy · Backtrader · AWS
Teleoperation Associate · Objectways Technologies LLC (2026 – Present)
Collecting and recording robot demonstration data using Trossen systems for ML training pipelines
Research Aide · ASU School of Earth & Space Exploration (Oct 2023 – May 2025)
Built data pipelines and virtual field modules for NSF-funded WORM Portal
Software Dev Intern · Hindustan Aeronautics Limited (Jun–Aug 2023)
Built internal dashboards for real-time aerospace telemetry monitoring
Open to roles in LLM evaluation, AI safety, ML engineering, quant systems, and forward deployed engineering

