Roman Lotsman

SOFTWARE · BACKEND · AI

Roman Lotsman.

I build backend systems
and AI-powered applications.

Senior Software Engineer at EPAM Systems.
Based in Vinnytsya, Ukraine.

Selected projects

01 — 05
Official StatGPT demo interfaceVisit project ↗

StatGPT

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AI-powered natural-language access to statistical data, with structured data integration and visualization.

Python · FastAPI · SQLAlchemy · LangChain

Project details

Oct 2023 — present

AI platform providing natural-language access to statistical data through LLM-powered query processing, structured data integration, and visualization. Architecture includes Python, FastAPI, SQLAlchemy, LangChain, Pydantic, and SDMX-based statistical data services.

Official AI DIAL Core illustrationVisit project ↗

AI DIAL

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An enterprise AI platform connecting language models, reusable applications, and model adapters.

Python SDK · FastAPI · AI model integration

Project details

Aug 2023 — present

Enterprise platform supporting AI model integration, reusable applications, and standardized interfaces for language model services. Python SDK provides application and model-adapter capabilities using FastAPI-compatible interfaces, API request handling, and automated testing.

TeamFlow task board with demo tasksVisit project ↗

TeamFlow

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A team workspace for projects, tasks, and reviewable AI task plans.

React · Node.js · Express · MongoDB

Project details

Workspace-scoped permissions, server-side sessions, task boards, and a planner that requires approval before adding tasks. The screenshot shows the interactive demo with browser-local sample data; live AI requires a configured backend.

DecisionGap OS public sample storefrontVisit project ↗

DecisionGap OS

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Customer feedback, guided shopping, and evidence-linked growth proposals.

Node.js · SQLite · Shopify API

Project details

A single-merchant application with policy-bound shopping assistance, feedback analysis, growth drafts, and optional Shopify checkout handoff. The screenshot shows its fictional public demo store. Campaign automation belongs to the broader product vision.

OutcomeOS live landing pageVisit project ↗

OutcomeOS

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A workspace for forecasts, evidence, and learning from decision outcomes.

Python · PostgreSQL · Panta API

Project details

Measurable Decision Rooms, team forecasts, read-only market quotes, timestamped snapshots, expiring reports, and outcome evaluation. The screenshot shows the public landing page; private workspaces require sign-in.

Experience

Aug 2022 — present

Senior Software Engineer

EPAM Systems · Kyiv, Ukraine

Designed and delivered scalable backend platforms, cloud-native microservices, and AI-powered applications using Python, FastAPI, Node.js, and AWS. Led technical development, improved system performance and reliability, and integrated machine learning, large language models, RAG, and AI agents into production-ready solutions.

Jul 2019 — Jun 2022

Python/Backend Software Engineer

SoftServe · Kyiv, Ukraine

Developed and optimized Python-based backend applications, RESTful APIs, and database systems using Django, Flask, FastAPI, and PostgreSQL. Built scalable microservices, automated deployment workflows, and collaborated with engineering teams to deliver reliable, high-performance software solutions.

Education

Sep 2015 — Jul 2019

Bachelor of Computer Science

APEPS department of Igor Sikorsky Kyiv Polytechnic Institute

Kyiv, Ukraine

LET’S CONNECT

Have something in mind?

Long-term direction: senior management, grounded in technical work and product judgment.