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@tamirlarizki
Senior Software Engineer with expertise in Fintech and Blockchain.
With over 8 years of experience as a Senior Software Engineer, I specialize in Fintech, Cybersecurity, and Blockchain technologies. My journey has equipped me with the skills to design scalable systems and develop blockchain infrastructure, utilizing languages such as Python, Go, and TypeScript. I thrive on challenges and have a proven track record of enhancing system reliability and performance.
At Varonis Systems, I revamped client integration processes, significantly reducing onboarding time and client escalations. My role as a Technical Lead at Thunderhead allowed me to manage blockchain infrastructure for high-value assets, while my tenure at Granite Alphen Capital saw the successful development of a tool for back-testing trading strategies, which was acquired by Bloomberg. I am passionate about leveraging technology to drive business success and improve user experiences.
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Work history, roles, and key accomplishments
Varonis Systems
Aug 2022 - Present (3 years 3 months)
Revamped client integration and sync processes using Python, Kafka, PostgreSQL, Neo4J, and KEDA, significantly enhancing reliability and scalability while decreasing client escalations by 89% and onboarding time by 80%. Additionally, engineered a cost calculation system with Python, PostgreSQL, and AWS, leading to 43% more accurate pricing and higher gross margin, and developed RBAC & ABAC for int
Thunderhead
Nov 2021 - Aug 2022 (9 months)
Led blockchain LST infrastructure and tools development using Golang, managing over $20M in assets at peak. Created analytics dashboards and tools using Python, Docker, PostgreSQL, and FastAPI, improving node runner performance by 27% and increasing user engagement by 65% on the website.
Granite Alphen Capital
Feb 2019 - Nov 2021 (2 years 9 months)
Developed a cutting-edge tool for back-testing options trading strategies using Django and Python, which was acquired by Bloomberg. Created complex data pipelines with Python, CICD tools, and Docker to handle over 20 years of options data, and researched and implemented trading strategies using Python and machine learning techniques, leading to new high-yield funds.
Cuma Financial
Feb 2017 - Feb 2019 (2 years)
Spearheaded an autonomous Forex trading system using Java and Spring, trading on over 17,000 strategies with minimal latency, and implemented NVIDIA's Random Forest on GPU via CUDA and Cython, resulting in a 50x performance increase. Engineered a scalable infrastructure from scratch using Kubernetes, Docker, and CICD, efficiently handling thousands of microservices with near 100% availability, and
Degrees, certifications, and relevant coursework
Computer Science Program, Computer Science
Completed a 3-year program focused on computer science. Acquired foundational knowledge in programming, algorithms, and data structures which laid the groundwork for subsequent professional and self-guided learning endeavors.
Software and tools used professionally
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