Quant Trader
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Beacon
May 3, 2026 – Present
Beacon - self-documenting test failures with rich diffs, AST introspection, and zero-config pytest integration.
View Projectllmreplay
April 11, 2026 – Present
Deterministic replay debugger for LLM agents. Records LLM calls and tool executions to SQLite, replays from the log with no network calls.
View ProjectxChess
April 6, 2026 – Present
A blazing-fast personal chess engine combining GPU-accelerated neural network evaluation, hybrid alpha-beta/MCTS search, and magic-bitboard move generation - fully UCI-compatible and ready to plug into Arena, CuteChess, or lichess.
View ProjectOraculus
March 17, 2026 – Present
Three-strategy prediction market arbitrage engine: SPREAD_FADE, CROSS_MARKET, DEP_GRAPH.
View ProjectHydraX.
March 14, 2026 – Present
A deterministic, high-performance electronic exchange simulator for microstructure research, execution testing, and agent-based market simulation with live Binance WebSocket integration.
View ProjectNimbus
February 27, 2026 – Present
Black-Scholes with full second-order Greeks, SABR calibration via Levenberg-Marquardt, SVI surface construction with no-arbitrage constraints, a delta-hedging options market maker - and a live data layer that streams the real Binance options chain, recalibrates the surface on every update, and records/replays historical sessions.
View Project_edgeflow
February 20, 2026 – Present
A real-time, low-latency market microstructure engine for Binance spot markets. Streams live order book data via WebSocket, computes composite alpha signals from multiple microstructure features, validates signal predictive power across multiple time horizons, and simulates execution with realistic fee modelling.
View ProjectVolatility-arbitrage
February 17, 2026 – Present
Dispersion trading exploits the structural premium in index implied volatility relative to the weighted IV of its constituent stocks. The strategy profits from mean-reversion of implied correlation.
View ProjectPluto
February 8, 2026 – Present
Pluto is a Python-based quantitative backtesting engine built for systematic traders and researchers. It focuses on clean architecture, reproducibility, and fast experimentation for intraday and swing trading strategies.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in quantitative finance, trading, and high-performance computing. While this demonstrates deep expertise in a specific domain, it suggests a potentially narrow focus. The target role is 'Data Scientist', which can be broad. The candidate's fit depends on whether the Data Scientist role is specifically within a quantitative finance or high-performance computing context. The lack of diverse project types outside this niche might indicate a less broad cultural fit for general data science roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work.