Nimasha Attanayake

AI Researcher

Central Province, Sri Lanka4 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in AI-driven trading algorithms.
Proficient in Python and PyTorch.
Strong background in quantitative finance.

Stackforce AI infers this person is a Fintech professional with strong expertise in AI and machine learning.

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Skills

Core Skills

Machine LearningPythonArtificial Intelligence (ai)Deep LearningComputer Vision

Other Skills

Agile MethodologiesAnalytical SkillsC++Data AnalysisData StructuresDeep Reinforcement LearningDefining RequirementsEngineeringFinancial ModelingFunctional SpecificationsGitKnowledge AcquisitionMathematical AnalysisMathematicsNatural language processing

About

As a Team Lead and AI Algorithm Developer at Invariant Trading, I bring over two and a half years of experience in developing and refining AI-driven high-frequency trading algorithms. My work focuses on leveraging advanced machine learning techniques, including reinforcement learning and deep neural networks, to optimize real-time trading strategies. Proficient in Python and PyTorch, I collaborate with teams to implement and enhance data-driven models in high-performance computing environments. My goal is to drive innovation in quantitative finance through the integration of cutting-edge AI and machine learning technologies while fostering team collaboration and delivering impactful results.

Experience

Invariant trading

AI Algorithm Developer

Feb 2023 – Present · 3 yrs 1 mo · United States (Remote) · Remote

Developed and optimized AI-driven high-frequency trading algorithms for financial markets.
Analyzed trading data to enhance algorithmic performance and accuracy.
Collaborated with the team to implement new features and refine trading strategies.
Implemented advanced machine learning techniques, including reinforcement learning and deep neural networks, to develop sophisticated trading models.
Proficient in Python and PyTorch for building and training complex models in a high-performance computing environment.

Functional SpecificationsDeep Reinforcement LearningMathematical AnalysisData AnalysisAgile MethodologiesAnalytical Skills+10

Analog inference

Artificial Intelligence Engineer

Oct 2022 – Dec 2022 · 2 mos · United States

Contributed to optimizing state-of-the-art Deep Learning algorithms for an analog-accelerated chip.
Developed and tested machine learning models for performance enhancement.

Artificial Intelligence (AI)PyTorchKnowledge AcquisitionDeep Learning