TargetONCO
Agentic precision-oncology platform orchestrating radiology ML, spatial proteomics, and hybrid clinical retrieval for Bayesian cancer differential ranking.
ECE, Physics, CS · Duke University
Building intelligent systems for the real world.
I’m Mohammad Zoraiz — an engineer and researcher working across agentic AI, machine learning, quantum computing, and embedded systems.
Selected work
Projects
Research-driven systems spanning precision medicine, developer tools, privacy, and quantum computing.
Quantum Bayesian Learner
Hybrid QML Bayesian learner with Kraus-channel evidence updates, masked-entangler VQC compression, and gate-complexity benchmarking.
CtrlSlash
MCP-based documentation engine that auto-scrapes APIs and SDKs, powers semantic RAG search, and reduces AI IDE hallucinations.
CipherShield
Decentralized protected-data aggregation using split-key homomorphic encryption, Solidity smart contracts, and auditable privacy guarantees.
Gene Editing Classifier
Python ML pipeline with EDA, feature selection, and PCA to distinguish edited and unedited gene-expression signatures from NIH and Duke data.
SonicSync
Submersible psychoacoustic testing wearable co-developed with Garmin engineers, combining mechanical design and FPGA signal processing.
Experience & education
Résumé
A concise snapshot of the work, research, and tools behind my practice.
Education
Duke University Durham, NC · Aug 2023 — May 2027
B.S. in Electrical & Computer Engineering (AI/ML), Physics, and Computer Science, with Distinction.
Computer science & AI Data Structures & Algorithms, Introduction to Artificial Intelligence, AI & Agents
Computer engineering Computer Architecture, Computer Networks, Digital Systems, Microelectronic Devices and Circuits
Physics & ECE foundations Mechanics and E&M, Fields & Waves, Optics and Modern Physics, Biophysics II
Applied systems Advanced UAV Engineering, Differential Equations, Probability, Signals & Systems
Experience
Member of Technical Staff & SDE Intern Amazon AGI Lab & Kiro Labs · May 2026 — Present
Architecting low-latency voice-to-agent workflows that connect Kiro code agents with streaming ASR/TTS infrastructure.
- Building a real-time agent runtime for model-selectable coding, session state, streaming events, and autonomous execution.
AI Data Engineering Intern Pfizer · Jan 2026 — Apr 2026
Built scalable data pipelines and AI/ML workflows for genomics data processing and model-driven analysis.
Machine Learning Engineering Intern Amazon Web Services · May 2025 — Aug 2025
Developed a benchmark analysis platform adopted across Kiro, Amazon Q, and AWS Agentic AI to accelerate iterative LLM improvement.
- Orchestrated 120+ AWS service interactions with Lambda, DynamoDB, S3, and Bedrock, accelerating ML optimization by 40%.
- Built cross-benchmark pattern detection, AST dependency mapping, error fingerprinting, a React insights dashboard, and modular tests.
Software Engineering Intern Amazon Web Services · May 2024 — Aug 2024
Built Python, SQL, and R analysis pipelines for Amazon Q Developer, improving reporting throughput and transformation quality.
- Optimized LLM pipeline analysis in Lambda and distributed training workflows using SageMaker, Step Functions, and Redshift.
Embedded Software Engineering Intern Rockwell Automation · 2022 & 2023
Developed C++ firmware, GoogleTest/VectorCAST verification suites, and CI pipelines for Logix and L8Z motion controllers.
- Improved motion accuracy, reduced validation time, and streamlined firmware builds with Jenkins, Docker, VMware, and Python harnesses.
Quantum Computing Researcher MIT Lincoln Laboratory · Feb 2022 — Dec 2022
Implemented the HHL algorithm in Microsoft Q# and Qiskit for quantum fluid-flow and cognition simulations.
- Engineered circuits using eigenvalue estimation, amplitude amplification, and Hamiltonian simulation for faster runtime experiments.
Skills
Languages Python, Java, C++, C, SQL, R, MATLAB, MIPS, x86 Assembly, TypeScript, Dart, JavaScript, Verilog, VHDL, Bash/Shell, HTML, CSS, Go
Cloud, product, and systems AWS Lambda, DynamoDB, S3, Bedrock, SageMaker, Azure, Firebase, Supabase, Docker, Kubernetes, Linux, Git, React, Flutter, Figma
ML, data, and engineering tools PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, OpenCV, Hugging Face, GraphQL, MLflow, Qiskit, IBM Quantum, AutoCAD, Inventor
Languages
Native proficiency English, Urdu, Hindi
Professional working proficiency Arabic, Spanish
Basic proficiency Turkish, ASL
Recognition
- Amazon Future Engineer Scholar — 1 of 250 scholars internationally; $40k award for engineering and CS excellence
- Lockheed Martin STEM Scholar — 1 of 100 scholars nationally; $40k award for engineering and innovation
- Dominion Energy Educational Equity Scholar — 1 of 40 scholars nationally; $40k award for social impact
- Congressional Commendation — Congressman David Joyce, for Northeast Ohio community advancement in childhood education
Activities
Dark Matter & AI Research, Kotwal Labs Applying AI and FPGA-integrated circuitry to high-energy physics research.
ProductSpace@Duke, Fellowship Director Leading product fellows through technical product management education and multidisciplinary project mentorship.
HackDuke, Organizer Coordinating logistics, sponsors, teams, and social-impact programming for Duke's flagship hackathon.
A little more context
About me
I’m a triple major at Duke University interested in the point where ambitious research becomes useful technology. My work has moved between AI agents, quantum algorithms, distributed cloud systems, genomics, and embedded control.
Outside of building, I lead product fellows at ProductSpace@Duke, help organize HackDuke, and research dark matter with AI and FPGA systems in the Kotwal Labs.
Let’s build