Siavash Razmi

Product Manager

Innsbruck, Tyrol, Austria5 yrs 6 mos experience

Key Highlights

PhD candidate specializing in AI-driven anomaly detection.
Led development of trading systems for cryptocurrency markets.
Expert in deep learning and quantitative research methodologies.

Stackforce AI infers this person is a Fintech expert with strong capabilities in algorithmic trading and machine learning.

Contact

Skills

Core Skills

Algorithmic TradingPythonQuantitative ResearchDjangoData ScienceDeep LearningNetwork Administration

Other Skills

Artificial Neural NetworksCCNACryptocurrency Futures MarketData AnalysisData AnalyticsData VisualizationData visualization and InferenceDesign PatternsFastAPIFinancial Data AnalysisGitIT ManagementInception Convolution ModuleJavaScriptLSTM

About

PhD Candidate in Computer Science at Universität Innsbruck researching AI-driven anomaly detection in distributed cloud environments. Interested in applying advanced machine learning and cloud-native technologies to large-scale, real-world systems.

Experience

Clanz

Quantitative Developer

Jan 2025 – Jul 2025 · 6 mos · Sydney, New South Wales, Australia · Remote

At Clanz, I led the design and development of the trading layer for the Parabolic.fi platform. I built the infrastructure to deploy, run, and maintain algorithmic trading bots using Python, SQL, and JavaScript. My work focused on writing scalable, event-driven, and asynchronous systems via FastAPI and REST interfaces. I implemented clean architecture and design patterns to create a generic, extensible bot deployment framework. I also developed and maintained integrations with major crypto exchanges (e.g., Bybit, LBank, Coinstore) using libraries like CCXT and custom interfaces.

PythonSQLJavaScriptFastAPIREST APIsDesign Patterns+1

Deep finance

Quantitative Researcher

Apr 2024 – Jan 2025 · 9 mos · London Area, United Kingdom · Remote

Implemented the trading strategy from my thesis in the live cryptocurrency futures market, utilizing the Django framework. Refined the strategy by modifying the trading universe, optimizing entry and exit rules, and improving the Sharpe ratio by 0.4.

DjangoTrading StrategyCryptocurrency Futures MarketQuantitative Research

Tensurf

Data Scientist

Jul 2022 – Apr 2023 · 9 mos · California, United States · Remote

Collaborated with a team of 20+ members to develop a deep learning model combining the Inception convolution module and LSTM for forecasting short-term market movements using the Limit Order Book (LOB) data from the US stock futures market.

Deep LearningLSTMInception Convolution ModuleData Science