Final-year Computer Science student building high-performance software and applied ML systems. I work on event-driven architectures, numerical simulation and model engineering, and production-grade tooling for data-intensive applications.
- High-performance systems & concurrency (C++, multithreading, low-latency optimization)
- Production ML engineering (PyTorch, model validation, drift monitoring, CI/CD)
- Numerical methods & simulation (Monte Carlo, pricing/hedging simulators, time-series)
- Data pipelines & reproducible experiments (Python, SQL, Docker)
(quick links — open the repo README for usage and reproduction details)
-
hft_engine — microsecond-class order-book engine and replay harness; latency controls and throughput stress tests.
https://github.com/RajaBabu15/hft_engine -
quantitative-trading-backtester — event-driven, tick-level backtester with transaction-cost/slippage modeling and reproduction notebooks.
https://github.com/RajaBabu15/quantitative-trading-backtester -
black-scholes-options-pricer — analytical and Monte-Carlo pricers plus a discrete rebalancing hedging simulator (notebooks included).
https://github.com/RajaBabu15/black-scholes-options-pricer -
PINN_TurbulentChannelFlow (or
TurbulenceModellingPIML) — high-dimensional modeling & dimensionality-reduction with a technical report and reproducible experiments.
https://github.com/RajaBabu15/PINN_TurbulentChannelFlow
Primary: Python, C++, SQL
Libraries & tools: NumPy, Pandas, PyTorch, Numba, QuantLib, Statsmodels, Docker, Redis, FIX basics
Practices: unit/smoke testing, reproducible notebooks, CI/CD for models, performance profiling
For each featured repo I keep a short, runnable notebook or script that reproduces the headline result (see project README → demo/ or notebooks/). If you’re reviewing a specific claim from my resume, open the corresponding repo README for exact commands and the commit/tag used for the reported results.
- Email: rajababu8520456@gmail.com
- LinkedIn: https://www.linkedin.com/in/rajababu15/
- GitHub: https://github.com/RajaBabu15