Daniil Savinov - Project And Product Manager at EchoTwin AI

Daniil Savinov

Project And Product Manager at EchoTwin AI

Belgrade, Central Serbia

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Summary

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Rockstar

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Top School

Daniil Savinov is a project and product manager with 5+ years delivering B2C and B2B software across telehealth, real estate, e‑commerce, no‑code SaaS, blockchain SaaS and NFT gaming, now shaping infrastructure intelligence at EchoTwin AI. He combines hands‑on Agile delivery—leading cross‑functional teams of 3–11 through end‑to‑end MVP and MMP lifecycles—with commercial experience as a sales lead and community/marketing manager that helped secure $1M+ in investor funding. Comfortable as a scrum master and bridge to stakeholders, he authors SOWs, roadmaps, wireframes and technical artifacts (ER diagrams, whitepapers) and runs sprint cadence and handoffs for long‑term support. An active contributor to vis.gl projects, he’s added I3S attribute loading and feature ID support to loaders.gl and improved front‑end mesh layers in deck.gl, bringing practical data‑visualization know‑how to product decisions. Multicultural team experience and academic study in global business underpin his ability to translate complex technical tradeoffs into clear, client-facing outcomes.

5 years of coding experience

2 years of employment as a software developer

Exchange studies, Global Business, Exchange studies, Global Business at Università degli Studi di Bergamo

Master's degree, Global Business, Master's degree, Global Business at Johannes Kepler Universität Linz

Master's degree, Global Business, Master's degree, Global Business at Higher School of Economics

English, German, Russian

Github Skills (17)

data-visualizations10

javascript10

data-visualisation10

filetype10

file-conversion10

data-parsing10

file-operations10

file-format10

fileio10

file-handling10

data-visualization10

visualization9

webgl9

visualizations9

3d9

Programming languages (2)

TypeScriptJavaScript

Github contributions (5)

visgl/loaders.gl

Oct 2020 - Jan 2023

Loaders for big data visualization. Website:

Role in this project:

Back-end Developer

Contributions:311 reviews, 332 commits, 495 PRs in 2 years 3 months

Contributions summary:Daniil's primary contribution involved developing functionality for the I3S (Indexed 3D Scene Layer) format within the loaders.gl library, a project focused on big data visualization. The user implemented an attributes loader for I3S, allowing the loading and parsing of attribute data, and fixed various related comments and tests. Furthermore, they added support for loading feature IDs, including the related handling of feature id and associated code improvements.

csvloadersbasisdracobig-data-visualization

visgl/deck.gl

Feb 2021 - Jul 2022

WebGL2 powered visualization framework

Role in this project:

Front-end Developer

Contributions:20 reviews, 9 commits, 7 PRs in 1 year 4 months

Contributions summary:Daniil primarily contributed to the front-end components of the `deck.gl` visualization framework, enhancing the user interface and functionality. They updated dependencies for loading external resources, added a method to a layer, and integrated copyright and license information within an example. Additionally, the user made code changes related to mesh layer, including cleanup.

pythonwebgljavascriptwebgl2threejs

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