Harvard/MIT trained. Building algorithmic trading systems and optimizing ML models for production.Available for contract work through March 2026 before firefighter academy.
I design, build, and optimize machine learning models and quantitative systems, helping clients improve performance, efficiency, and decision-making. My work spans research, production implementation, and system modernization.
Strategy research and backtesting frameworks. Live deployment with risk management. Quantitative alpha generation. Market microstructure analysis.
Real-time data pipelines and inference systems. Time series forecasting. Distributed training and deployment. AWS infrastructure.
INT8/FP16 quantization for 3-10x inference speedup and 70-90% cost reduction. Production inference optimization. Edge deployment. ONNX/TensorRT optimization.
RECENT IMPACT
Optimized trading model inference from 150ms to 15ms using quantization. Reduced client's monthly cloud costs by $12,000 while maintaining 99% accuracy.
Not all projects are displayed. Client projects are kept confidential and are only shared with explicit written permission.
Advanced machine learning–based algorithmic trading system built from scratch using PyTorch and market data. Features multi-market support, continuous learning, adaptive risk management, and real-time performance optimization.Tech: Python, PyTorch, NumPy, AWS, PostgreSQL
Results: 18% annual return.
High-performance Monte Carlo simulator enabling correlation-aware feature sampling, advanced risk metrics, and rigorous sensitivity analysis for critical decision-making.Tech: Python, NumPy, Numba, CUDA
Performance: 10,000 simulations in 0.3 seconds with 99.5% accuracy.
Advised a hedge fund on modernizing and streamlining their trading and research systems, implementing tools and workflows to improve cross-team productivity and operational efficiency.
Pricing
Fixed-price projects are scoped in advance with a defined deliverable and timeline. Pricing is based on an estimated hourly rate with a minimum project total of $2,000.
Time spent on communication and documentation preparation is not billed—only actual development and implementation time counts toward the project cost.
RATESHourly: $175/hour
Rush (weekends/holidays): $255/hourFixed Projects: $2,000 minimum
Ideal for defined scope with clear deliverables. Price based on complexity and timeline, not hours tracked.Retainers: Priority access + ongoing work
Best for evolving projects or continuous technical support.
- Part-time (20 hrs/week): $3,500/week
- Full-time (40 hrs/week): $6,500/weekPAYMENT
50% upfront | Balance on delivery
Wire/ACH preferred (no fees)
Harvard University - Computer Engineering & Mathematics
MIT (Online) - Hardware EngineeringTrained in machine learning, quantitative finance, distributed systems, and algorithms. I deliver production-ready systems, not academic prototypes.Currently available for intensive contract work before transitioning to firefighter academy in March 2026. This limited 3-month window offers dedicated full-time technical expertise.
All project work is conducted primarily through email and structured written documentation. This ensures clear records of requirements, decisions, and deliverables, with detailed technical documentation for engineers and concise summaries for non-technical stakeholders.Phone or video calls are available for urgent issues or project kickoffs when necessary. This documentation-first approach improves efficiency, reduces miscommunication, and consistently results in higher-quality deliverables
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