Machine Learning Engineer/Web3 Data Scientist

Main skills


  • Fast learner
  • Comunicative
  • Honest
  • Curious
  • Responsible


  • Nodejs: 4+ years, Backend Microservices, chat bots, multiplayer game servers, OpenApi docs, REST API, tRPC backend, nextjs, angular, nest, web3, metaplex.
  • Typescript: 2+ years, Game events multiplayer server (Colyseus), Currently working full stack on web service for influencers.
  • Git: prefer to work in git-flow pattern, understand how does git stores commits and branches but basically everything rolls back to git commit -m "fix" && git push.
  • Task management: Jira, Atlassian, Asana.
  • Turborepo: 6+ months.
  • Docker: have an experience writing docker files with a lot of possible configs. Know how to run containers in separate subnet and set up volumes for data storages.
  • Linux/unix: have some experience with a network stack, setting up server machines for running different services and processes, know how to set up cron jobs.
  • C#: 4+ years, unity, have an experience with early access game deployment to oculus store, deployment to iOS & play market. Know how to do math, physics, geometry and other "hard" things that are related to game development :)
  • Go, Rust, FunC, Solidity: started learning for personal projects, currently experimenting and researching with telegram web apps and smart contracts.
  • Project management: had an experience with team management, setting goals, filling backlog and prioritizing tasks.
  • Community management: twitch streamer and partner 20k+ followers.
  • English level: high intermediate, freely can listen and write. Love watching movies and tvs in english. Learned English in LA, Miami, Malta.

  • • Implemented quantitative trading strategies designed by researchers in Python.
    • Developed real-time risk monitoring and automated trading platform for the options markets.
    • Improved fund’s asset balance and trading performance tracking system.
    • Developed data retrieval and preprocessing pipelines for the trading engine.
    • Built distributed systems for processing data and running machine learning workflows.

I'm a tech enthusiast and Blockchain Engineer pursuing a master's degree with experience in managing an NFT project. I recently honed my skills in hands-on experience developing smart contracts on the Ethereum blockchain using Solidity. In addition to my blockchain experience, I am familiar with Python machine learning and data science libraries.

Also, I possess strong project management skills and excel at collaborating with colleagues in Riteh Blockchain Team. My ultimate goal is to become a 𝐬𝐨𝐮𝐠𝐡𝐭-𝐚𝐟𝐭𝐞𝐫 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐫, pushing boundaries and building innovative solutions. When not working, I enjoy fitness, tennis, and reading.

I would be excited working in a blockchain project that aligns with vision and passion for decentralized technology. I have a desire to work with a team of skilled professionals who are equally dedicated to this exciting field.

This role would provide me with the opportunity to learn from experienced mentors who possess excellent soft skills, making it easy for you to understand and grasp complex concepts. The mentorship you receive not only enhances your technical skills but also helps develop your interpersonal skills.

As a Data Analyst I reduced the time it took to clean delivery route data from several hours down to minutes. After recognizing the impact a simple software like Microsoft Excel can have on the workflow of a company as large as Amazon I was hooked. I wanted to add more value, so I self taught myself Python. I was eager to apply my newly learned programming skills in combination with my extensive statistics knowledge to real projects.

I enrolled into Springboard’s Data Science program where I applied those skills to real world projects as well as gain valuable insights through one on one mentorship. Throughout their comprehensive curriculum I have demonstrated my skills by completing various mini-projects and two capstone projects. These projects covered the entire life cycle of a data science project utilizing Python’s core data science libraries that ultimately resulted in a data-driven solution. More details about these projects are available in the featured section of my LinkedIn profile.

Alongside my data science projects, I have been mentoring over 1,000 college students to exceed their academic goals in quantitative subjects. This has given me the opportunity to truly understand the fundamental principles underlying data analytics. I would love to chat further, please feel free to reach me on [email protected].

Core Competencies: Data Analytics, Data Analysis, R, Tableau, Machine Learning, Statistical Analysis, Data Visualization, Predictive Modeling, SQL, Data Wrangling, API, Data Mining, Python (PANDAS, SciKit-Learn, NumPy, Seaborn, Matplotlib, Tensorflow, Plotly, Statsmodels, PySpark, Webscraping).


  • React: 6 months, NextJS, pages & components markdown, data binding, smart & dumb components, hooks, react-query. Know about Vite.
  • Angular: 1 year, pages & components markdown, modules, services, data binding, smart & dumb components, rxjs, ngrx, ngxs.
  • Styling: Tailwind, TailwindUI, HeadlessUI, MaterialUI, taigaUI, primeng, css, scss, sass. Prefer to work with Figma.
  • Data fetching: Axios, tRPC, REST API. Had little experience with GraphQL API.


  • NestJS: 1 year, had experience developing microservice structure, Rest, trpc, databases, sockets, typeorm.
  • Databases: postgres, mysql, mongo, sqlite, mariadb, know how to develop database structures, prefer to use Prisma or TypeORM.
  • Blockchain: Understand web3 and smart contracts. Etherium, Solana, TON. Basic knowledges of Solidity, Rust, funC. Understand difference between NFT and SFT. Implemented Solana Metaplex API.
  • Security frameworks: jwt, jws, sessions, data hashing.
  • Swagger/openapi: using it for generating clients/servers whenever possible. Most of the services I've created were described with swagger firstly, then client api generated.
  • CI tools: vercel, github actions + secrets, prometheus, grafana, loki, active directory, know about kubernetes. Had experence with github action, auto-deploy new builds. Know how to set up metrick control systems for services.
  • Raw virtualization: worked with VMWare and vSphere, know how QEMU works and differences between virtualization and containerization. Know that architechture could be emulated. Had experience with setting up scripts for virtual box.
  • Cloud tech: had expirience with Yandex.Cloud ecosystem. NGINX, reverse proxy, load balanser. Know about serverless functions and databases.

Hobbies, interests, etc.

I'm really into self improvement and building different skills. 

  • System and product design.
  • Robotics, electrical and circuit engineering (arduino, raspberryPI, DIY, 3d printing)
  • Vocal and music composing (DAWs - FL Studio, reaper, cubase, Ableton)
  • Oratory and acting

Experience: 3 years

Yearly salary: $100,000

Hourly rate: $35

Nationality: 🌏 Remote

Residency: 🌏 Remote


Period Title Company
2015 - VFX Artist freelance
2020 - 2021 Frontend freelance
2021 - 2023 Quantitative Software Engineer Intern Outremont Technologies
2021 - 2023 Backend Developer
2020 - Portfolio Manager Self-employed
2021 - 2023 Crypto Research Analyst Coinpicks
2022 - 2023 Data Scientist Freelancing & Personal projects
2021 - 2022 Defi / Solidity learner Personal projects