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. Flow Traders
    Ascent Participant
    Expected May 2026
    • • Selected as one of 18 students for Flow Traders Ascent, a program focused on trading, research, and collaboration
    • • Will participate in an algorithmic trading competition, poker tournament, and logic puzzles over two days
  2. PrizePicks
    Software Engineer Intern
    Expected Jun 2026 → Sep 2026
    • • Incoming backend intern on the engineering team
  3. Statistical Arbitrage Research with Dr. Mihai Cucuringu
    UCLA Research Assistant
    Nov 2025 → Present
    • • Research on statistical arbitrage in crypto pairs trading under regime shifts and structural breaks
    • • Built end-to-end pipeline for data, pair selection, signals and walk-forward validation with rolling recalibration
    • • Develop a Mixture of Experts with Hidden Markov Model gating and XGBoost timing for long/short per pair
    • • Benchmark Mixture of Experts against rule-based strategies under trading costs: fees, funding, slippage, latency
    PythonPandasXGBoosthmmlearnstatsmodels
  4. Mazer Group, LLC
    Quantitative Research Engineer Intern
    Jun 2025 → Sep 2025
    • • Utilized $1,000,000 of trading capital to develop and validate proprietary strategies in live financial markets
    • • Collaborated with hedge fund manager on research and execution of algorithmic models
    • • Achieved 18.3% CAGR with 1.28 Sharpe and 8.1% max drawdown in live trading under real market execution
    PythonPandasNumPystatsmodels
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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