Sergey Poslavskiy
Senior Smart Contract Developer at Soramitsu- Claim this Profile
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Bio
Credentials
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TensorFlow: Advanced Techniques Specialization
CourseraMar, 2021- Nov, 2024 -
Deep Learning Specialization
CourseraDec, 2020- Nov, 2024 -
TensorFlow: Data and Deployment
CourseraDec, 2020- Nov, 2024 -
DeepLearning.AI TensorFlow Developer Specialization
CourseraOct, 2020- Nov, 2024 -
Self-Driving Cars Specialization
CourseraOct, 2020- Nov, 2024 -
EF SET English Certificate 82/100 (C2 Proficient)
EF Standard English Test (EF SET)May, 2020- Nov, 2024
Experience
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ソラミツ SORAMITSU | 7 YEARS 2016-2023
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Japan
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Software Development
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1 - 100 Employee
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Senior Smart Contract Developer
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Mar 2022 - Present
Tech-leading the team, performing code audits, providing knowledge sharing sessions Writing smart-contracts (DEX, Staking, Farming, Multisig modules) for an open-source DEX on Klaytn Blockchain Building back-end with TypeScript and The Graph Helping with front-end development with VueJS and Typescript (including integration with Multisig and Snapshot.org voting platform) Participated in developing Trustless EVM Bridge between Ethereum and non-EVM blockchain Tech-leading the team, performing code audits, providing knowledge sharing sessions Writing smart-contracts (DEX, Staking, Farming, Multisig modules) for an open-source DEX on Klaytn Blockchain Building back-end with TypeScript and The Graph Helping with front-end development with VueJS and Typescript (including integration with Multisig and Snapshot.org voting platform) Participated in developing Trustless EVM Bridge between Ethereum and non-EVM blockchain
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Crypton Studio
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Latvia
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IT Services and IT Consulting
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300 - 400 Employee
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Tech Lead Smart Contract Developer
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Sep 2021 - Mar 2022
Tech-leading the teamDeveloping Smart Contracts for DApps (DeFi and Marketplaces mostly) on Ethereum, BSC, Polygon, Avalanche, Harmony, Fantom Blockchains; Front-End developing for DApps using web3, ethers with Vue JS and TypescriptParticipate in building back-end with Nest JS/ Hapi JS and TypeORM
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Smart Contract Developer
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Jun 2021 - Sep 2021
Writing all kinds of Smart Contracts like Stakings, IDO's, Crowdsales, Governance, Vestings, Cross-Chain Bridges; Developing DeFi applications on Ethereum, BSC, Polygon, Tron, Avalanche, Fantom, Harmony Blockchains; Building DApps using JavaScript/Typescript and Node.js;
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Tomsk State University
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Russian Federation
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Research Services
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100 - 200 Employee
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Graduate Research And Teaching Assistant
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Oct 2020 - Jul 2021
Practical and laboratory studies within "Navigation Systems", "AI and Machine Learning" courses
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Software Development Engineer
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May 2020 - Jan 2021
Software applications for UAVs: object detection, object tracking, instance segmentation systems for autonomous flight control. Hardware stack: Pixhack 4, Pixhawk 2 Cube flight controllers, Nvidia Xavier, Intel Nuc + Intel Neural Compute Stick 2. The main software stack: ROS, Tensorflow, OpenVINO.
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NTR Labs
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United States
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Software Development
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1 - 100 Employee
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Software Development Engineer
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Mar 2020 - May 2020
Software application development for Indoor Visual SLAM system: exposure/gain auto adjustment system, global shutter clicking control (Arducam MT9V022 / MT9V034; IDS UI30xx cam series) Software application development for Indoor Visual SLAM system: exposure/gain auto adjustment system, global shutter clicking control (Arducam MT9V022 / MT9V034; IDS UI30xx cam series)
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Tomsk State University
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Russian Federation
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Research Services
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100 - 200 Employee
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Research And Development Engineer
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Oct 2017 - Feb 2020
Software applications for UAVs based on autonomous flight control and navigation algorithms. Hardware stack: DJI/Tarot drones + DJI N3/Pixhack 4 flight controllers, Nvidia Jetson TX2, Nvidia Xavier, Intel Nuc. The main software stack: ROS, OpenCV, Darknet plus some Python libs (python-control, dronekit, pymavlink). Software applications for computer vision systems: object detection/tracking and object segmentation Worked with the stack: Intel Realsense T265 + ZED from Stereolabs + OpenCV + TensorFlow; IDS UI30XX monocular cameras + V4L2 + DarkNet (YOLOv3)). Integration and modification of visual SLAM algorithms for indoor navigation systems. Projects were based on ORB-SLAM/OpenVSLAM + ROS_Control + Ardupilot SDK. Show less
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Education
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Tomsk State University
PhD Student, Information Systems and Technologies -
Tomsk State University
Master, Information Systems and Technologies -
Tomsk State University of Control Systems and Radioelectronics
Bachelor, Tech Process Control and Industrial Automation