Emmanuel Adutwum

NEW C++ / ML ENGINE

Neural Net Engine in C++

97.8% MNISTNo ML LibsAdam Optimizer

Full neural network library built from scratch in C++17 — zero ML framework dependencies. Custom matrix engine, backpropagation, Adam/SGD optimizers, BatchNorm, Dropout. Achieves 97.8% on MNIST. SIMD-optimized matrix multiply benchmarks included.

C++17CMakeEigenGoogle TestMNIST

NEW TRANSFORMER / GPT

GPT from Scratch (PyTorch)

Pure PyTorchNo HuggingFaceShakespeare

Complete GPT architecture from scratch — multi-head self-attention, causal masking, positional encoding, layer norm, residual connections. Character-level tokenizer. Cosine LR schedule with warmup. Top-k and nucleus sampling.

PythonPyTorchTransformersNLPLM

NEW CV / C++ INFERENCE

ResNet CIFAR-10 + C++ Inference

92.4% Acc.6x C++ SpeedupONNX Export

Custom ResNet-18 trained on CIFAR-10 in PyTorch (92.4% accuracy). Exported to ONNX and loaded into a C++ inference engine using ONNX Runtime. Benchmark shows 6x latency improvement over Python baseline. Docker deployment included.

PythonC++PyTorchONNX RuntimeOpenCV

NEW AUTONOMOUS DRIVING

Autonomous BEV Perception

Lift-Splat-ShootCenterPoint HeadKITTI 3D mAP

Production-grade Bird's-Eye-View 3D object detection pipeline. Implements Lift-Splat-Shoot (ECCV 2020) with ResNet-50 + FPN backbone and anchor-free CenterPoint detection head. Gaussian Focal Loss, mixed precision training, KITTI evaluation.

PythonPyTorch3D DetectionBEVKITTIFPN

NEW 3D RECONSTRUCTION

Neural Radiance Fields — From Scratch

31+ dB PSNRMip-NeRF IPEMarching Cubes

Research-faithful NeRF (Mildenhall et al., ECCV 2020) in pure PyTorch — no NeRF libraries. Positional encoding, hierarchical coarse-fine sampling, volume rendering integral. Achieves 31+ dB PSNR on NeRF-Blender matching the paper.

PythonPyTorchNeRF3D VisionVolume RenderingMip-NeRF

ML / REGRESSION

California Housing Price Prediction

R² 0.788 SVRBayesian Opt.6 Models

SVR with advanced feature engineering and Bayesian hyperparameter optimisation achieving R² 0.788, outperforming Linear Regression (0.61), Decision Tree (0.68), and Random Forest (0.74). Pipeline includes log-transform, interaction terms, and geographic clustering.

PythonScikit-learnSVRXGBoostBayesian Opt.

ML / SPORTS ANALYTICS

Soccer Match Outcome Predictor

XGBoostELO RatingsForm Features

Machine learning model predicting soccer match outcomes using team ELO ratings, recent form, home advantage, head-to-head records, and player availability features. Ensemble of XGBoost and Logistic Regression with calibrated probabilities.

PythonXGBoostPandasScikit-learnELO

NEW AIRFLOW / DATA ENG

Airflow ETL Pipeline

Daily ScheduleRetry LogicData Validation

Apache Airflow DAG ingesting live crypto market data from CoinGecko. Pandas transformations (volatility, market dominance, trend features), SQLite upsert storage, automated data quality checks, and failure alerting.

Apache AirflowPythonPandasSQLitePytest

NEW INFOSEC / DEVOPS

Secure FastAPI + CI/CD Pipeline

9 TestsDockerGitHub Actions

Security event management API — API key auth middleware, Pydantic IP regex validation, per-IP rate limiting. GitHub Actions CI runs pytest + flake8 on every push, builds Docker image, and smoke-tests the container on merge to main.

FastAPIDockerGitHub ActionsPython

NEW SPARK / DELTA LAKE

PySpark Pipeline + Delta Lake

1M+ Records2–4x SpeedupPartitioned Parquet

PySpark ETL on 1M+ taxi records — schema-enforced reads, window function analytics, caching benchmarks. Delta Lake module: ACID upserts via merge, time travel queries. Partitioned Parquet output with ~60% faster downstream reads.

Apache SparkDelta LakePySparkParquet

NEW JAVA / SPRING BOOT

Spring Boot Security Alerts API

Java 17JUnit 5CI/CD

Production Java REST API — custom Jakarta servlet filter for API key auth, Bean Validation with IP regex, Spring Data JPA + H2. JUnit 5 MockMvc integration tests. GitHub Actions CI builds, tests, and smoke-tests the JAR on every push.

Java 17Spring Boot 3JUnit 5Maven

QUANT / LIVE

Live Algorithmic Trading System

Sharpe 2.109 Strategies22 Instruments

Production trading bot on AWS EC2 — HMM regime detection (4-state), 29-feature ML signal engine, fractional Kelly sizing, automated strategy grading across forex, crypto, commodities, and indices.

PythonHMMAWS EC2OANDABinance

QUANT / MOBILE

QuantLab Pro

iOS · Android · Web10+ Models

Institutional-grade quant calculator in React Native — Black-Scholes, full Greeks, IV Solver, Avellaneda-Stoikov HFT, Kelly Criterion, GARCH, Hurst exponent, OU process, and Ghana Cocoa Derivatives.

TypeScriptReact NativeExpoBlack-Scholes

QUANT / FULLSTACK

Ghana Cocoa Derivatives Platform

250+ Users10K MC Paths70% Faster

Full-stack derivatives pricing platform — Black-Scholes with weather-adjusted stochastic vol, Monte Carlo (<2s), ensemble ML (XGBoost, RF, SVR), NLP assistant for Ghanaian cocoa cooperatives.

Black-ScholesMonte CarloXGBoostFlask

QUANT / HFT

HFT Simulator — Limit Order Book

Sharpe 1.95<10μs Latency1M+ Events

C++/Python market-making simulator with heap-based LOB, Avellaneda-Stoikov strategy, 95% correlation to NASDAQ microstructure patterns.

C++PythonAvellaneda-StoikovLOB

QUANT / DERIVATIVES

Black-Scholes Delta Hedging Engine

Full GreeksGamma P&LIV Surface

Complete options pricing and delta-hedging engine — Black-Scholes analytical solution, full Greeks (Delta, Gamma, Theta, Vega, Rho), implied volatility surface construction via Newton-Raphson IV solver, daily P&L attribution, and replication portfolio tracking.

PythonBlack-ScholesNumPySciPyGreeks

NEW OCAML / SYSTEMS

OCaml Limit Order Book

Price-Time PriorityMatching Engine10 Tests Passing

Functional limit order book engine in pure OCaml — price-time priority matching with BidMap/AskMap balanced BSTs using custom comparators (highest bid first, lowest ask first). Supports limit orders, market orders, partial fills, multi-level sweeps, and cancellations. Interactive REPL with live depth display.

OCamlDuneAlcotestFunctionalMap.Make

NEW OCAML / QUANT

OCaml Probability & Options Pricing

Monte CarloBlack-Scholes12 Tests Passing

OCaml library of probability puzzles and quantitative finance models — every puzzle returns (analytical, MC) pairs that converge to <0.5%. Prices options via Black-Scholes, CRR binomial trees (500 steps), and Monte Carlo (100k paths). Full Greeks via finite differences, implied vol via Newton-Raphson, and Avellaneda-Stoikov optimal market-making vs naive fixed-spread.

OCamlBlack-ScholesMonte CarloGreeksAvellaneda-Stoikov

NEW SQL · PYTHON · PLOTLY

Financial Market Risk Analytics

VaR / CVaRMonte Carlo 10KSharpe · Sortino

End-to-end quant risk system on S&P 500 sector ETFs — Historical & Cornish-Fisher VaR, CVaR/Expected Shortfall, 10K GBM Monte Carlo simulation, rolling Sharpe/Sortino/Calmar, macro regime analysis (VIX, yield curve). Advanced PostgreSQL window functions + Python modelling.

PostgreSQLPythonPandasSciPyPlotlyyfinance

LIVE DASHBOARD

NEW SQL · ML · PLOTLY

E-Commerce Customer Analytics

RFM SegmentsROC-AUC 0.84100K+ Orders

Full analytics pipeline on Olist Brazilian E-Commerce (100K+ orders, 8 tables) — RFM segmentation, cohort retention, CLV estimation, churn prediction (Logistic Regression, AUC 0.84), K-Means clustering. Raw SQL to ML to interactive dashboard. Champions drive 34% of GMV.

PostgreSQLPythonScikit-learnPlotlyK-Means

LIVE DASHBOARD

CV / PYTORCH

Tesla-Style YOLOv5 Object Detector

62.4ms InferenceCustom Classes

YOLOv5 pipeline with custom class filtering for autonomous vehicle perception. Latency benchmarking and optimization targeting automotive sensor performance requirements.

YOLOv5PyTorchComputer VisionPython

Who I Am.

Where I've Worked.

Cipher & Entropy.

What I've Built.