Ph.D., Computer Science — Iowa State University • Oct 2025
📍 Current Role: Applied Scientist at Amazon, California
"Bridging cutting-edge AI research with real-world impact across transportation, agriculture, and quantum computing"
📄 Download Industry Resume • Download Academic Resume
I'm an AI researcher and applied scientist with expertise spanning multiple high-impact domains. My work bridges academic research and practical industry applications, with a focus on deploying AI solutions that create measurable real-world impact.
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🔬 Research Impact
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💼 Industry Impact
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🎥 Video-LLMs for Safety
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⚡ Model Efficiency
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🧠 LLM Theory & Reasoning
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Key Publications:
- ✅ ICML 2026 - CalPro: Prior-Aware Evidential Conformal Prediction for Protein Structures
- ✅ ACL 2026 - Causal Consistency Regularization for Verifiably Sensitive Reasoning (Main)
- ✅ ACL 2026 - Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics (Main)
- ✅ EMNLP 2025 - Efficient Unstructured Pruning of Mamba State-Space Models
- ✅ EMNLP 2025 - Cache-Efficient Posterior Sampling for RL with LLM-Derived Priors
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🎬 Computer Vision & Video Analytics
🎯 Impact Metrics:
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🤖 Reinforcement Learning & Control
🛠️ Simulation Frameworks:
🏢 Industry Projects:
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Precision farming through geospatial ML and environmental modeling
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🗺️ Precision Agriculture & Geospatial AI
🌍 Key Capabilities:
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🌱 Environmental Data Science
📊 Technical Stack: 💼 Industry Experience:
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Exploring the frontiers of machine learning and quantum algorithms
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⚛️ Quantum Neural Networks
🛠️ Frameworks:
📄 Publications:
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🧬 Biomedical AI Applications
📊 Research Impact:
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🔍 Theoretical Foundations
📝 In Submission:
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GenAI-powered language learning platform with interactive exercises Tech Stack: Features:
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Complete PyTorch implementation of Google's PaliGemma multimodal model Tech Stack: Features:
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| Project | Description | Tech Stack | Links |
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| 🔍 Wiki Word Analyzer | Web-based text analysis with intelligent caching | FastAPI Redis NLP |
Code |
| 🚦 RL Signal Sync | Reinforcement learning for traffic signal optimization | Ray RLlib SUMO |
Code |
| 🏆 Mcity AV Challenge | Autonomous vehicle competition entry | Python Computer Vision |
Code |
| 📚 Online Course Projects | Collection of ML/AI implementations | PyTorch TensorFlow |
Code |
Comprehensive graduate-level training in AI, ML, and computer science
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Lecturer Graduate Research Assistant Graduate Teaching Assistant Graduate Teaching Assistant |
Applied Scientist II Applied Scientist Intern Data Scientist Data Engineer Intern |
LLMs & Multimodal AI Transportation Safety Precision Agriculture Quantum Computing |
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✅ ICML 2026 (4 Papers)
✅ ACL 2026 (4 Papers — 3 Main, 1 Findings)
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✅ IEEE/CVF CVPR 2026
✅ IEEE ITSC 2026 (2 Papers)
✅ Journal Publications (2026)
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✅ ECAI 2025
✅ EMNLP 2025 (2 Papers)
✅ ITSC 2025 (2 Papers)
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✅ Journal Publications
✅ IEEE/CVF CVPR 2024
✅ IEEE ITSC 2023
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NeurIPS 2026 (5 Submissions)
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ACL ARR May 2026 (6 Submissions)
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ECCV 2026 & IEEE T-ITS
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🎥 Computer Vision
CVPR '24–'26 |
🧠 Machine Learning
NeurIPS '26 |
💬 NLP
ACL Industry Track '26 (Area Chair) |
🛣️ Transportation / Multimedia
ITSC '23–'25 |
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📊 Total Reviews: 30+ papers across 10+ top-tier venues • 🧑⚖️ Area Chair: ACL 2026 Industry Track |
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🏛️ University Service
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🔬 Mentoring & Outreach
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Languages Python ⭐⭐⭐⭐⭐
Java ⭐⭐⭐⭐
SQL ⭐⭐⭐⭐
C++ ⭐⭐⭐⭐
R ⭐⭐⭐
Go ⭐⭐⭐ |
Web Development FastAPI ⭐⭐⭐⭐⭐
Flask ⭐⭐⭐⭐
Streamlit ⭐⭐⭐⭐
React ⭐⭐⭐ |
Databases PostgreSQL ⭐⭐⭐⭐⭐
MySQL ⭐⭐⭐⭐
MongoDB ⭐⭐⭐⭐
Elasticsearch ⭐⭐⭐⭐
SQLite ⭐⭐⭐⭐
Athena ⭐⭐⭐ |
DevOps & Cloud AWS ⭐⭐⭐⭐⭐
Docker ⭐⭐⭐⭐
Git/GitHub ⭐⭐⭐⭐⭐
Kubernetes ⭐⭐⭐
Jenkins ⭐⭐⭐
Terraform ⭐⭐⭐ |
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🔥 Deep Learning
🎬 Computer Vision
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🤖 LLM & GenAI
📊 Vector Databases
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🎮 RL & Simulation
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🔄 Big Data Processing Apache Spark ⭐⭐⭐⭐⭐
PySpark ⭐⭐⭐⭐⭐
Hadoop ⭐⭐⭐⭐
Apache Kafka ⭐⭐⭐
ETL Pipelines ⭐⭐⭐⭐⭐
AWS Data Pipeline ⭐⭐⭐⭐📊 Monitoring & Analytics Splunk ⭐⭐⭐
Datadog ⭐⭐⭐ |
🗺️ GIS & Geospatial QGIS ⭐⭐⭐⭐⭐
ArcGIS ⭐⭐⭐⭐
GDAL ⭐⭐⭐⭐
PostGIS ⭐⭐⭐⭐
Remote Sensing ⭐⭐⭐⭐
Terrain Modeling ⭐⭐⭐⭐
Spatial Analytics ⭐⭐⭐⭐⭐📈 Visualization Tableau ⭐⭐⭐⭐
Matplotlib ⭐⭐⭐⭐⭐
Plotly ⭐⭐⭐⭐
Seaborn ⭐⭐⭐⭐
Kepler.gl ⭐⭐⭐ |
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⚛️ Quantum Computing
torchquantum Novel QNN architectures for security applications |
📊 Statistical Analysis
R Studio Advanced statistical modeling and hypothesis testing |
🎓 Research Tools
LaTeX Experiment tracking and scientific writing |
🔍 Crash Analysis 🎯 Prompt Engineering ⏱️ Time Series Analysis
🤖 Autonomous Systems 📈 Predictive Modeling 🌐 Knowledge Graphs
🎥 Video Understanding 🧮 Optimization Algorithms 🔐 Cybersecurity
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Computer Science Dissertation Focus: |
Artificial Intelligence Specialization: |
Computer Science & Engineering Focus Areas: |
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📧 Personal |
🎓 Academic |
📞 Phone |
📍 Location |
AI Research • Machine Learning Engineering • Data Science • Academic Positions
"I have to win. If not eventually, I will. There is no alternative."

