Sergey Poslavskiy

Senior Smart Contract Developer at Soramitsu
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Contact Information
us****@****om
(386) 825-5501
Location
Tomsk, Tomsk, Russia, RU

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Credentials

  • TensorFlow: Advanced Techniques Specialization
    Coursera
    Mar, 2021
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Dec, 2020
    - Nov, 2024
  • TensorFlow: Data and Deployment
    Coursera
    Dec, 2020
    - Nov, 2024
  • DeepLearning.AI TensorFlow Developer Specialization
    Coursera
    Oct, 2020
    - Nov, 2024
  • Self-Driving Cars Specialization
    Coursera
    Oct, 2020
    - Nov, 2024
  • EF SET English Certificate 82/100 (C2 Proficient)
    EF Standard English Test (EF SET)
    May, 2020
    - Nov, 2024

Experience

    • Japan
    • Software Development
    • 1 - 100 Employee
    • Senior Smart Contract Developer
      • 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

    • Latvia
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Tech Lead Smart Contract Developer
      • 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

    • Smart Contract Developer
      • 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;

    • Russian Federation
    • Research Services
    • 100 - 200 Employee
    • Graduate Research And Teaching Assistant
      • Oct 2020 - Jul 2021

      Practical and laboratory studies within "Navigation Systems", "AI and Machine Learning" courses

    • Software Development Engineer
      • 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.

    • United States
    • Software Development
    • 1 - 100 Employee
    • Software Development Engineer
      • 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)

    • Russian Federation
    • Research Services
    • 100 - 200 Employee
    • Research And Development Engineer
      • 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

Education

  • Tomsk State University
    PhD Student, Information Systems and Technologies
    2019 - 2023
  • Tomsk State University
    Master, Information Systems and Technologies
    2017 - 2019
  • Tomsk State University of Control Systems and Radioelectronics
    Bachelor, Tech Process Control and Industrial Automation
    2013 - 2017

Community

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