Software Engineer • Systems, ML, and Quantitative Research

Hi, I’m Sammy Adham.

I build performance software with rigorous evaluation and realistic assumptions that holds up under real world constraints.

Irvine, CA • UCLA Mathematics of Computation (BS) • Class of 2028
Who

About me

What I build
practical by default

Tools, systems, and ideas that solve problems and actually get used.

How I work
fast and accurate

I move fast, but I care a lot about getting things right the first time.

What I focus on
think first

Understanding the problem deeply before jumping to solutions.

What I'm looking for
high stakes

Hard problems in competitive spaces where performance matters.

Work

Projects with real impact

Risk Toolkit

Risk & Robustness Analysis Toolkit

Featured

A diagnostic framework for stress testing quantitative strategies and identifying fragility under noise, regime shifts, and adverse conditions.

PythonNumPyMonte Carlo SimulationRisk MetricsStatistical Testing
  • • Execution adjusted risk metrics such as Sharpe, Sortino, Calmar, and drawdown
  • • Robustness diagnostics across noise, drift, and stress scenarios
AlphaWorks

AlphaWorks Agentic Backtester

Featured

A research-grade quantitative IDE with an agentic MCP server for coding, testing, and iterating multi-asset trading strategies under realistic constraints.

PythonNumPyNumbaWalkforward ValidationBayesian Optimization
  • • Multi-asset support (equities, futures, options, crypto)
  • • Execution-aware evaluation with robustness diagnostics
Gravity Simulator

Physics Based Gravity Simulator

Featured

A C++ simulation engine for modeling gravitational interactions with an emphasis on performance, numerical stability, and deterministic behavior.

C++SFMLNumerical SimulationPhysics ModelingPerformance OptimizationDeterministic Systems
  • • Optimized update loops for large particle systems
  • • Deterministic simulation with stable numerical behavior
AI Image Detector

AI Image Detector

A classifier that estimates whether an image is AI generated, built with CLIP embeddings and a calibrated supervised model.

PythonPyTorchOpenCLIP (ViT-B-32)Scikit-Learn
  • • Custom labeled dataset with explicit train and val splits
  • • Calibrated probability outputs with isotonic calibration
AI Agents

Reinforcement Learning Agents

Reinforcement learning agents trained in simulation for control, navigation, and decision-making under noisy and competitive environments.

C#UnityML-AgentsReinforcement Learning
  • • Stable policy learning under stochastic dynamics
  • • Generalization across varying environments and conditions
BrainBuddy

BrainBuddy AI Therapy

An LLM powered mental health support application focused on reliable conversation flow, state management, and real world user feedback.

PythonLLMFlutterDart
  • • Stateful dialogue handling across conversations
  • • Pushed iterative improvements driven by real user interaction data to live app
Trajectory

Experience & leadership

  1. Statistical Arbitrage Research (Prof. Zhaoyu Zhang)
    UCLA Quantitative Researcher (REU)
    Nov 2025 → Present
    • • Conducting applied research on statistical arbitrage in cryptocurrency markets, with a focus on pairs trading under non-stationary conditions
    • • Developed research pipelines for data ingestion, pair selection, signal generation, and walk-forward validation
    • • Implemented cointegration and distance-based similarity methods with rolling recalibration to handle structural breaks
    • • Evaluated robustness across market regimes, volatility shifts, and liquidity conditions, and analyzed overfitting and regime related failure modes
    • • Modeled realistic execution effects including fees, funding rates, slippage, and latency, and assessed performance using risk-adjusted metrics
    Time SeriesStatistical ArbitragePythonValidationExecution Modeling
  2. Mazer Group, LLC
    Quantitative Research Engineer Intern
    Jun 2025 → Sep 2025
    • • Worked on research and software infrastructure for evaluating quantitative models using live, streaming market data
    • • Built monitoring and walkforward evaluation systems to assess model behavior under real world execution conditions
    • • Collaborated with senior researchers on model development, evaluation methodology, and execution logic
    • • Validated proprietary strategies using realistic execution assumptions and risk-aware performance analysis
    Research InfrastructureMonitoringValidationPythonData Systems
Toolbox

Skills that ship

Languages
PythonC++CC#JavaTypeScriptJavaScriptMATLABHTMLCSSDart
Technology & platforms
NumPyPandasNumbaPyTorchTensorFlowScikit-LearnOpenCVFlutterFirestoreUnityML-AgentsGit
Mathematics
ProbabilityStatisticsLinear AlgebraNumber TheoryDifferential EquationsDiscrete MathematicsOptimizationCalculus
Contact

Let’s build something together

If you’re hiring for software roles in applied ML, systems, or quantitative finance, I’d love to talk.

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