QUANT ALPHA LABS
Founder
Founder of Quant Alpha Labs.
QUANT ALPHA LABS
Founder of Quant Alpha Labs.
WORLDQUANT BRAIN
Researches and develops systematic equity alphas using financial and alternative datasets. Work spans hypothesis formation, signal construction, large-scale simulation, robustness and correlation testing, and the development of Power Pool and SuperAlpha strategies.
J&T CONSULTING LLC
Practice spans contracts, arbitration and litigation, IT law, and data protection. Built a semantic research database for Supreme Court of Georgia case law.
“The visible part is the signal. The difficult work happens between the original idea and the final order.”An end-to-end guide to turning a market hypothesis into a tradable strategy: feature engineering, neutralization, portfolio construction, costs, correlation, out-of-sample validation, and live monitoring. READ ON X
“Presenting developer infrastructure on the finals stage, in front of senior engineers, is a moment I'm genuinely proud of.”Finalist at the Cursor × Superteam Georgia Hackathon out of 180+ developers, entered solo. Built Senior Code MCP in a 3-hour window; background is law and quant finance, not software. READ ON LINKEDIN
“Most dashboards show you prices. This one shows you what regime you're in and whether your signals actually back each other up.”Open-sourcing the macro dashboard I use for top-down work: six regime detectors that vote into a consensus score, overlays for liquidity, positioning, and options. Runs entirely on free API keys, no Bloomberg, no paid vendor. READ ON X
“RAG finds related chunks. It has no idea what's already been established.”The librarian pattern for AI agents: a compounding markdown wiki, built as an installable skill based on Karpathy's LLM Wiki. READ ON X
“Context windows cap agents at ten subtasks. The plan belongs in a script.”Dynamic Workflow explained: two-layer execution, adversarial convergence, and the synchronous trap. READ ON GITHUB
Tamaz Sujashvili is the Founder of Quant Alpha Labs, a Quantitative Research Consultant on WorldQuant BRAIN, and a Junior Associate at J&T Consulting in Tbilisi, Georgia.
His quantitative research focuses on systematic equity signals. He researches datasets and economic mechanisms, constructs and simulates alphas, tests their robustness and correlation characteristics, and develops diversified Power Pool and SuperAlpha strategies. His broader research interests include macro regimes, derivatives, market structure, and technical signals.
At J&T Consulting LLC, his practice covers contract drafting and negotiation, arbitration and litigation case management, IT and technology law, data protection compliance, and employment matters.