Skip to content
View Ape108's full-sized avatar
🎯
Focusing
🎯
Focusing
9 followers · 22 following

Achievements

Achievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pull Shark

Highlights

  • Pro

Block or report Ape108

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ape108/README.md

Cameron Akhtar

Quantitative Developer | High-Performance Computing | Machine Learning

I am a Junior Honors Computer Science student at UMKC (Minors in Mathematics, Statistics, and Data Analytics) and a Quantitative Trading Intern in Power Markets at Evergy. My work focuses on the intersection of stochastic modeling, low-latency system design, and artificial intelligence to build efficient pricing engines and data-driven trading strategies.

Engineering & Research Focus

  • Algorithmic Trading & Infrastructure: Engineering custom C++ pricing engines (e.g., Black-Scholes PDE solvers via Crank-Nicolson) and utilizing pybind11 to bypass the Python GIL for microsecond-level execution latency.
  • Energy Market Analytics: Managing SQL data pipelines and developing predictive ML models to analyze nodal pricing, congestion modeling, and market mechanics (SPP, MISO, PJM) at Evergy.
  • Quantum Portfolio Optimization: Engineering quantum-classical hybrid models implementing QAOA and QUBO via Qiskit to optimize risk-adjusted returns and asset selection.
  • Generative Language Models: Architecting and pretraining custom Transformer models from scratch (PyTorch, CUDA) on historical SEC EDGAR filings to assist in fundamental fundamental analysis.

Tech Stack

  • Languages: Python, C++, C#, SQL
  • Quant & ML: PyTorch, Pandas, NumPy, SciPy, Scikit-learn, Qiskit, pybind11
  • Systems & Cloud: Docker, Google Cloud Platform (GCP), CMake, PostgreSQL, CI/CD

Leadership & Community

Outside of quantitative research, I serve as the President of the School of Science and Engineering Student Council, representing 3,000+ STEM students, and I am the Founder and President of the UMKC Billiards Club.


Connect with me:

LinkedIn email 


C++ Python PyTorch Google Cloud NumPy Pandas Docker

Pinned Loading

  1. BlackScholesSolver BlackScholesSolver Public

    A high-performance Python library for pricing options. The core C++ engine approximates the Black-Scholes PDE using the Crank-Nicolson method and solves the resulting tridiagonal system in O(N) tim…

    C++

  2. FundamentalAnalysisGPT FundamentalAnalysisGPT Public

    An LLM built from scratch trained on historical SEC filings to assist in fundamental analysis.

    Jupyter Notebook

  3. Quantum_Portfolio_Optimization Quantum_Portfolio_Optimization Public

    A project demonstrating Quantum Portfolio Optimization with QAOA. This code converts a classical finance model into a QUBO to find ideal asset weights using a quantum-inspired approach.

    Jupyter Notebook

  4. cppTradingBot cppTradingBot Public

    A C++ backtesting engine to model a Simple Moving Average (SMA) crossover strategy as a probabilistic experiment. Calculates E[X] and Var(X) of trade returns.

    C++

  5. Dojo-PWA Dojo-PWA Public

    An interactive PWA for martial arts dojos. Review belt curriculum, flashcards, PDFs, and videos. Secure Google sign-in, admin approval, and offline support. Built with Django, PostgreSQL, and Googl…

    HTML 1

  6. USDAChatBot USDAChatBot Public

    AI-powered chatbot and analytics dashboard connecting rural Americans with USDA Rural Development resources. Built with RAG, MongoDB vector search, and real user insights.

    Python 1