👋 Hi there! I'm Farabi!
📊Applied Scientist in Amazon | 🎓 Ph.D. in Computer Science | 🔬 Applied AI Researcher
Ph.D., Computer Science — Iowa State University • Oct 2025
📍 Current Role: Applied Scientist in Amazon, California
"Bridging cutting-edge AI research with real-world impact across transportation, agriculture, and quantum computing"

📄 Download Industry Resume • Download Academic Resume
🎯 About Me
I'm an AI researcher and data 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
- 📚 10+ Publications at top-tier venues
- 🏆 6 Papers Accepted to ECAI, EMNLP, ITSC 2025
- 🎯 5+ Under Review at top conferences
- 👥 Reviewer for CVPR, ICCV, ICLR, ACM MM, ICML
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💼 Industry Impact
- 🏢 Amazon Applied Scientist (January 2026 - Present)
- 🏢 Amazon Applied Scientist Intern (Summer 25)
- 🌾 35% Accuracy Boost in soil mapping
- 🚗 Iowa DOT Partnership for safety systems
- 💰 20% Cost Reduction via cloud optimization
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🌟 Domain Expertise
🤖 Large Language Models & Generative AI
Pioneering multimodal AI for safety-critical applications
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🎥 Video-LLMs for Safety
- Crash detection systems
- Automated narrative generation
- Real-time video analysis
- Synthetic data simulation
- Published at TRC-30 '24
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⚡ Model Efficiency
- Mamba state-space pruning
- Edge deployment optimization
- Cache-efficient sampling
- Resource-constrained AI
- 2 Papers at EMNLP '25
- 4 Papers at ACL '26 (under review)
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🧠 LLM Theory & Reasoning
- Counterfactual sensitivity
- Risk certification methods
- Reward function analysis
- Faithful reasoning
- 6 Papers at ACL '26 and ICLR '26 (under review)
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Key Publications:
- ✅ EMNLP 2025 - Efficient Unstructured Pruning of Mamba State-Space Models
- ✅ EMNLP 2025 - Cache-Efficient Posterior Sampling for RL with LLM-Derived Priors
- 📝 IEEE ITS - Leveraging Video-LLMs for Crash Detection and Narrative Generation
- 📝 ACL 2026 - Counterfactual Sensitivity for Faithful Reasoning (submitted)
- 📝 IEEE ITS - Image Segmentation with LLMs: Survey for Transportation Systems (submitted)
🚗 Transportation & Autonomous Systems
AI-driven solutions for safer roads and smarter mobility
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🎬 Computer Vision & Video Analytics
- Real-time crash detection with temporal localization
- HybridMamba for fine-grained action recognition
- All-weather image classification (CycleGAN + SigLIP-2)
- Change-point detection for action localization (CVPR '24)
- Ensemble learning for sidewalk detection (ITSC '23)
🎯 Impact Metrics:
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🤖 Reinforcement Learning & Control
- Autonomous vehicle decision-making algorithms
- RL for traffic signal synchronization
- Reward hacking detection & mitigation
- Multi-agent coordination systems
🛠️ Simulation Frameworks:
- 🚙 CARLA - Autonomous driving simulation
- 🛣️ SUMO - Traffic flow modeling
- 🏋️ Isaac Gym - Physics-based RL
- 🎮 OpenAI Gym - Custom environments
🏢 Industry Projects:
- ❄️ Iowa DOT Snowplow Navigation (ADAS)
- 🚨 Real-time Incident Detection Systems
- 🎥 Synthetic Crash Video Generation
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🌾 Digital Agriculture & Environmental Analytics
Precision farming through geospatial ML and environmental modeling
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🗺️ Precision Agriculture & Geospatial AI
- Soil Mapping Engine: Production system serving 10+ farms
- Performance: 35% accuracy improvement over baseline
- Cost Optimization: 20% speed increase with reduced hosting costs
- Cloud Integration: QGIS scripts for seamless AWS processing
- Stack: Python • QGIS • ArcGIS • AWS • PostgreSQL
🌍 Key Capabilities:
- Digital mapping & remote sensing
- Terrain modeling & spatial analytics
- Multi-source geospatial data fusion
- Real-time environmental monitoring
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🌱 Environmental Data Science
- Climate data analysis & sustainability metrics
- Resource allocation optimization
- Crop yield prediction modeling
- ML-driven agricultural decision support
📊 Technical Stack:
Geospatial: QGIS • ArcGIS • GDAL
Cloud: AWS (S3, Lambda, Athena)
Processing: Spark • PySpark • PostGIS
ML: Scikit-learn • XGBoost
Viz: Tableau • Plotly • Kepler.gl
💼 Industry Experience:
- 🏢 Data Scientist at SoilSerdem (2024)
- 🌾 Led cross-departmental ML initiatives
- 📈 Deployed production-grade prediction models
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🔬 Advanced AI & Quantum Computing
Exploring the frontiers of machine learning and quantum algorithms
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⚛️ Quantum Neural Networks
- Novel QNN architectures
- 10% boost in anomaly detection
- Zero-trust security frameworks
- Quantum algorithm design
🛠️ Frameworks:
- torchquantum
- Qiskit
- PennyLane
- StrawberryFields
📄 Publications:
- Measurement: Digitalization '25
- ECAI '25 (Quantum Spin Systems)
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🧬 Biomedical AI Applications
- RL-guided CAR T-cell optimization
- Cellular behavior modeling
- Therapy parameter tuning
- Bio-monitoring with deep learning
📊 Research Impact:
- Published in Biotechnology and Bioengineering
- Heart/respiratory rate prediction
- Enzyme classification models
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🔍 Theoretical Foundations
- Differentiable entropy regularization
- Self-supervised few-shot learning
- Reward function structure analysis
- Information-lift statistics
📝 Under Review:
- ICLR '26 (3 submissions)
- Novel theoretical frameworks
- Geometry + neural networks
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🚀 Featured Projects
🌟 GenAI-Powered Applications
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GenAI-powered language learning platform with interactive exercises
Tech Stack: LangChain OpenAI Streamlit Python
Features:
- 💬 Conversational AI tutor
- 📝 Grammar correction
- 🎯 Personalized learning paths
- 🔊 Pronunciation feedback
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Complete PyTorch implementation of Google's PaliGemma multimodal model
Tech Stack: PyTorch Transformers Computer Vision
Features:
- 🖼️ Vision-language understanding
- 🏗️ Built from architectural principles
- 📚 Educational annotations
- ⚡ Optimized inference
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💻 Technical Implementations & Research
| Project |
Description |
Tech Stack |
Links |
| 🔍 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 |
📖 Academic Coursework
Comprehensive graduate-level training in AI, ML, and computer science
🤖 Machine Learning & AI
| Course Code |
Course Title |
Repository |
| COMS 573 |
Machine Learning |
📂 View |
| COMS 574 |
Intro to Machine Learning |
📂 View |
| COMS 575 |
Computational Perception & CV |
📂 View |
| COMS 572 |
Artificial Intelligence |
📂 View |
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🛠️ Systems & Applications
| Course Code |
Course Title |
Repository |
| COMS 576 |
Motion Strategy Algorithms |
📂 View |
| ME 592 |
Data Analytics & ML for CPS |
📂 View |
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💼 Professional Experience
🎓 Academia
Lecturer
Dallas College
Aug 2025 - Jan 2026
Graduate Research Assistant
Iowa State University
Jan 2022 - May 2025
Graduate Teaching Assistant
Iowa State University
Aug 2020 - Dec 2021
Graduate Teaching Assistant
University of Vermont
Aug 2019 - May 2020
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🏢 Industry
Applied Scientist
Amazon Inc.
Jan 2026 - Present
Applied Scientist Intern
Amazon Inc.
Jun 2025 - Aug 2025
Data Scientist
SoilSerdem
Jan 2024 - Dec 2024
Data Engineer Intern
Etalyc Inc.
May 2021 - Jul 2021
AI Trainee
Training Program
Oct 2018 - Feb 2019
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🔬 Research Focus
LLMs & Multimodal AI
Video understanding
Model efficiency
Transportation Safety
Crash detection
Autonomous systems
Precision Agriculture
Geospatial ML
Environmental analytics
Quantum Computing
QNN architectures
Security applications
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📝 Selected Publications
🏆 Recent Acceptances (2025)
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✅ ECAI 2025
- HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems
✅ EMNLP 2025 (2 Papers)
- Efficient Unstructured Pruning of Mamba State-Space Models
- Cache-Efficient Posterior Sampling for RL with LLM-Derived Priors
✅ ITSC 2025 (2 Papers)
- ClearVision: All-Weather Classification in Traffic Imagery
- Expert-Aligned Evaluation of Crash Narrative Models
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✅ Journal Publications
- Quantum-driven Zero Trust Architecture - Measurement: Digitalization (2025)
- RL-Guided CAR T-Cell Control - Biotechnology and Bioengineering (2024)
✅ IEEE CVPR 2024
- DeepLocalization: Change Point Detection for Temporal Action Localization
✅ IEEE ITSC 2023
- Robust Sidewalk Detection with Ensemble Learning
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CVPR 2026
(2 Submissions)
- Adaptive Temporal Refinement: Continuous Depth Allocation and Distance Regression for Efficient Action Localization
- LLM-Guided Probabilistic Fusion for Label-Efficient Document Layout Analysis
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ACL 2026
(5 Submissions)
- Reward Function Structure
- Counterfactual Sensitivity
- Risk Certification for LLMs
- Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning
- Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics
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ICML 2026
(6 Submissions)
- CalPro: Prior-Aware Evidential Conformal Prediction with Structure-Aware Sensitivity Bounds for Protein Structures
- Differentiable Entropy Regularization
- What Reward Structure Enables Efficient Sparse-Reward RL? A Proof-of-Concept with Policy-Aware Matrix Completion
- Selective Risk Certification for LLM Outputs via Information-Lift Statistics: PAC-Bayes, Robustness, and Skeleton Design
- CGRiC: Compositional Risk Certification for Structured LLM Outputs
- Certificate-Guided Pruning for Stochastic Lipschitz Optimization
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IEEE ITS Transaction
(2 Submissions)
- HybridMamba for Temporal Localization
- Image Segmentation with LLMs Survey
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Other Venues
- Journal of Safety Research
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🧑⚖️ Academic Service & Leadership
🎯 Peer Review for Premier Conferences
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🎥 Computer Vision
CVPR '24, '25, '26
ICCV '25
WACV '26
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🧠 Machine Learning
ICLR '26
ECAI '25
ICML '26
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🖼️ Multimedia
ACM MM '25
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🛣️ Transportation
ITSC '23, '24, '25
IEEE Intelligent Vehicles Symposium 2026
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💬 NLP
EACL '26
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📊 Total Reviews: 30+ papers across 8 top-tier conferences
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🌟 Leadership & Community Service
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🏛️ University Service
- 👥 Graduate Student Representative
Iowa State University CS Committee (2022-2023)
- 📚 Education Committee Member
University of Vermont Graduate Senate (2019-2020)
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🔬 Community Outreach
- ⚖️ Judge, State Science & Technology Fair of Iowa (2025)
- 🎓 Mentor for undergraduate research projects
- 📖 Guest lecturer for AI/ML courses
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🛠️ Technical Skills
💻 Programming & Development
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Languages
Python ⭐⭐⭐⭐⭐
Java ⭐⭐⭐⭐
SQL ⭐⭐⭐⭐
C++ ⭐⭐⭐⭐
R ⭐⭐⭐
Go ⭐⭐⭐
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Web Development
FastAPI ⭐⭐⭐⭐⭐
Flask ⭐⭐⭐⭐
Streamlit ⭐⭐⭐⭐
React ⭐⭐⭐
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Databases
PostgreSQL ⭐⭐⭐⭐⭐
MySQL ⭐⭐⭐⭐
MongoDB ⭐⭐⭐⭐
Elasticsearch ⭐⭐⭐⭐
SQLite ⭐⭐⭐⭐
Athena ⭐⭐⭐
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DevOps & Cloud
AWS ⭐⭐⭐⭐⭐
Docker ⭐⭐⭐⭐
Git/GitHub ⭐⭐⭐⭐⭐
Kubernetes ⭐⭐⭐
Jenkins ⭐⭐⭐
Terraform ⭐⭐⭐
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🔥 Deep Learning
- PyTorch ⭐⭐⭐⭐⭐
- TensorFlow/Keras ⭐⭐⭐⭐
- Scikit-learn ⭐⭐⭐⭐⭐
- ONNX Runtime ⭐⭐⭐⭐
🎬 Computer Vision
- OpenCV ⭐⭐⭐⭐⭐
- YOLO ⭐⭐⭐⭐
- Detectron2 ⭐⭐⭐⭐
- MMDetection ⭐⭐⭐
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🤖 LLM & GenAI
- LangChain ⭐⭐⭐⭐⭐
- Ollama ⭐⭐⭐⭐
- Azure Databricks ⭐⭐⭐⭐
- TorchServe ⭐⭐⭐
- Hugging Face ⭐⭐⭐⭐⭐
📊 Vector Databases
- Chroma ⭐⭐⭐⭐
- Faiss ⭐⭐⭐⭐
- Pinecone ⭐⭐⭐
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🎮 RL & Simulation
- Ray/RLlib ⭐⭐⭐⭐⭐
- Stable Baselines3 ⭐⭐⭐⭐
- CARLA ⭐⭐⭐⭐
- SUMO ⭐⭐⭐⭐
- Isaac Gym ⭐⭐⭐
- OpenAI Gym ⭐⭐⭐⭐
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⚙️ Data Engineering & Analytics
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🔄 Big Data Processing
Apache Spark ⭐⭐⭐⭐⭐
PySpark ⭐⭐⭐⭐⭐
Hadoop ⭐⭐⭐⭐
Apache Kafka ⭐⭐⭐
ETL Pipelines ⭐⭐⭐⭐⭐
AWS Data Pipeline ⭐⭐⭐⭐
📊 Monitoring & Analytics
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🗺️ GIS & Geospatial
QGIS ⭐⭐⭐⭐⭐
ArcGIS ⭐⭐⭐⭐
GDAL ⭐⭐⭐⭐
PostGIS ⭐⭐⭐⭐
Remote Sensing ⭐⭐⭐⭐
Terrain Modeling ⭐⭐⭐⭐
Spatial Analytics ⭐⭐⭐⭐⭐
📈 Visualization
Tableau ⭐⭐⭐⭐
Matplotlib ⭐⭐⭐⭐⭐
Plotly ⭐⭐⭐⭐
Seaborn ⭐⭐⭐⭐
Kepler.gl ⭐⭐⭐
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🔬 Specialized Technologies
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⚛️ Quantum Computing
torchquantum
Qiskit
PennyLane
StrawberryFields
Novel QNN architectures for security applications
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📊 Statistical Analysis
R Studio
MATLAB
SciPy
StatsModels
Advanced statistical modeling and hypothesis testing
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🎓 Research Tools
LaTeX
Jupyter
Weights & Biases
MLflow
Experiment tracking and scientific writing
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```
🔍 Crash Analysis 🎯 Prompt Engineering ⏱️ Time Series Analysis
🤖 Autonomous Systems 📈 Predictive Modeling 🌐 Knowledge Graphs
🎥 Video Understanding 🧮 Optimization Algorithms 🔐 Cybersecurity
```
🎓 Education
🎓 Ph.D.
Computer Science
Iowa State University
Graduated October 2025
Dissertation Focus:
AI for Transportation Safety
& Video Understanding
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🎓 M.S.
Artificial Intelligence
Iowa State University
Graduated January 2024
Specialization:
Machine Learning
& Computer Vision
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🎓 B.Sc.
Computer Science & Engineering
BRAC University
Graduated August 2018
Focus Areas:
Software Engineering
& Algorithms
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📊 GitHub Statistics
📫 Let's Connect!
💬 I'm always interested in collaborating on exciting AI and ML projects!

🌟 Open to opportunities in:
AI Research • Machine Learning Engineering • Data Science • Academic Positions


⭐ Thank you for visiting my profile! Happy coding! 🚀
"I have to win. If not eventually, I will.
There is no alternative."