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Serghei G.-Scientific Computing & AI/ML | Full-Stack | Low-Level Systems | Cloud & Systems Engineering | Embedded/IoT | Aerospace &

Serghei G. - Scientific Computing & AI/ML | Full-Stack | Low-Level Systems | Cloud & Systems Engineering | Embedded/IoT | Aerospace & - profile avatar
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Available
Tiraspol, Moldova, Republic of

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Experience

Jan 2019 - Feb 2026
Tiraspol, Moldova, Republic of
Remote

Principal AI/ML, Cloud & Systems Engineer

EBS Integrator

Position summary
Principal AI/ML, Cloud & Systems Engineer at EBS Integrator
Industries
Information Technology
Business areas
Information Technology
Product Development
Explore AI Engineer
  • Architected AI/ML, computational, cloud, and distributed software solutions using Python, TypeScript, Node.js, PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, SQL, and modern cloud technologies.
  • Designed end-to-end computational workflows covering data acquisition, preprocessing, feature engineering, model development, optimization, inference, evaluation, and quantitative validation.
  • Developed Generative AI, LLM, and RAG applications using transformers, vector databases, retrieval pipelines, APIs, automated testing, and evaluation frameworks.
  • Designed scalable backend platforms, APIs, and microservices using FastAPI, Node.js, PostgreSQL, Redis, REST, and distributed architectures.
  • Developed full-stack applications integrating React/Next.js frontends with Python and Node.js backend services.
  • Architected cloud-native systems across AWS, Azure, and GCP using containers, Kubernetes, infrastructure automation, and CI/CD.
  • Designed systems for scalability, fault isolation, reliability, performance, security, observability, and maintainability.
  • Developed high-volume data-processing and telemetry-style pipelines applicable to distributed, IoT, monitoring, and engineering applications.
  • Reviewed AI-generated code and technical solutions, identifying algorithmic, statistical, logical, architectural, and implementation errors.
  • Developed reference implementations, automated tests, validation procedures, and technical documentation for complex computational systems.
Mar 2013 - Dec 2018
Tiraspol, Moldova, Republic of
Remote

Senior Machine Learning, Data & Software Engineer

Smartdata

Position summary
Senior Machine Learning, Data & Software Engineer at Smartdata
Industries
Information Technology
Business areas
Information Technology
Product Development
  • Developed machine-learning, data-processing, and software systems using Python, SQL, Scikit-learn, TensorFlow, Pandas, NumPy, Spark, and web/backend technologies.
  • Built classification, regression, forecasting, recommendation, clustering, and anomaly-detection solutions.
  • Designed reproducible computational workflows for preprocessing, exploratory analysis, feature engineering, model fitting, hyperparameter optimization, and evaluation.
  • Architected ETL/ELT and distributed data-processing pipelines for high-volume datasets.
  • Developed backend services, analytical APIs, database integrations, and applications exposing computational models to production systems.
  • Worked with large-scale, time-series, sensor-style, and operational datasets.
  • Investigated model failures, data-quality problems, numerical inconsistencies, software defects, and pipeline failures.
  • Optimized algorithms, queries, processing pipelines, and applications for performance and scalability.
  • Developed automated tests and validation procedures for software, analytical, and ML systems.
  • Produced technical documentation covering architecture, methodology, interfaces, assumptions, testing, and system behavior.
Jul 2007 - Feb 2013
Tiraspol, Moldova, Republic of
Remote

Senior Full-Stack, Systems & Embedded Software Engineer

BackstageIT

Position summary
Senior Full-Stack, Systems & Embedded Software Engineer at BackstageIT
Industries
Information Technology
Business areas
Information Technology
Product Development
  • Developed enterprise, full-stack, systems, and engineering software using C/C++, Python, Java, C#/.NET, JavaScript, and SQL.
  • Designed backend architectures, APIs, database systems, client/server applications, and third-party integrations.
  • Developed user-facing applications and supporting backend services connecting application interfaces with complex business and engineering systems.
  • Implemented algorithms and performance-sensitive components involving networking, data processing, communications, and systems programming.
  • Worked with low-level software concepts including memory-efficient programming, networking, concurrency, data acquisition, communication interfaces, and hardware/software integration.
  • Applied embedded and IoT concepts to sensor-data processing, device communication, telemetry-style workflows, networking, and real-time data flows.
  • Designed system interfaces and integration architectures connecting software components, databases, external services, and device-oriented systems.
  • Developed automated unit, integration, and system-level tests.
  • Debugged complex issues spanning application code, algorithms, databases, networking, communications, and system integration.
  • Improved software performance, reliability, maintainability, database efficiency, and deployment processes.
Jul 2000 - Jun 2007
Tiraspol, Moldova, Republic of
Remote

Software & Low-Level Systems Engineer

Salt Edge

Position summary
Software & Low-Level Systems Engineer at Salt Edge
Industries
Banking and Finance
Information Technology
Business areas
Information Technology
Product Development
  • Developed enterprise, full-stack, systems, and engineering software using C/C++, Python, Java, C#/.NET, JavaScript, and SQL.
  • Designed backend architectures, APIs, database systems, client/server applications, and third-party integrations.
  • Developed user-facing applications and supporting backend services connecting application interfaces with complex business and engineering systems.
  • Implemented algorithms and performance-sensitive components involving networking, data processing, communications, and systems programming.
  • Worked with low-level software concepts including memory-efficient programming, networking, concurrency, data acquisition, communication interfaces, and hardware/software integration.
  • Applied embedded and IoT concepts to sensor-data processing, device communication, telemetry-style workflows, networking, and real-time data flows.
  • Designed system interfaces and integration architectures connecting software components, databases, external services, and device-oriented systems.
  • Developed automated unit, integration, and system-level tests.
  • Debugged complex issues spanning application code, algorithms, databases, networking, communications, and system integration.
  • Improved software performance, reliability, maintainability, database efficiency, and deployment processes.

Industry experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology and Banking and Finance.

Information Technology
Banking and Finance
Profile match chart

Business area experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology and Product Development.

Information Technology
Product Development
Profile match chart

Summary

Senior multidisciplinary software and computational engineer with extensive experience across scientific computing, AI/ML, full-stack development, low-level and systems software, cloud engineering, data engineering, embedded/IoT, and complex distributed systems.

Strong programming background in Python, C/C++, C#, Java, JavaScript, TypeScript, and SQL, with experience designing computational workflows, machine-learning systems, backend services, web applications, APIs, data platforms, distributed systems, and performance-sensitive software.

Experienced with React, Next.js, Node.js, FastAPI, Django, PostgreSQL, Redis, AWS, Azure, GCP, Docker, Kubernetes, and CI/CD, covering the complete engineering lifecycle from architecture and implementation through testing, deployment, observability, optimization, and production support.

Strong systems-engineering background spanning software architecture, networking, data acquisition, distributed computing, low-level programming, real-time concepts, embedded/IoT architectures, telemetry-style data processing, hardware/software integration, reliability, verification, and validation.

Research-oriented computational background in Python, NumPy, Pandas, PyTorch, TensorFlow, Scikit-learn, XGBoost, and Spark, including machine learning, statistical analysis, model evaluation, algorithm development, numerical workflows, data reduction, and reproducible computational solutions.

Skills

Scientific Computing & Computational Research

  • Python
  • Numpy
  • Pandas
  • Numerical Computing
  • Computational Modeling
  • Statistical Analysis
  • Numerical Methods
  • Data Reduction
  • Simulation Workflows
  • Algorithm Development
  • Optimization
  • Model Fitting
  • Time-Series Analysis
  • Reproducible Computing
  • Scientific Software

Ai / Ml & Ai Evaluation

  • Pytorch
  • Tensorflow
  • Scikit-Learn
  • Xgboost
  • Machine Learning
  • Deep Learning
  • Nlp
  • Transformers
  • Generative Ai
  • Llms
  • Rag
  • Classification
  • Regression
  • Forecasting
  • Anomaly Detection
  • Feature Engineering
  • Model Evaluation
  • Ai Evaluation
  • Reference Solutions

Full-Stack Engineering

  • React
  • Next.Js
  • Typescript
  • Javascript
  • Node.Js
  • Python
  • Fastapi
  • Django
  • Rest Apis
  • Graphql
  • Postgresql
  • Mongodb
  • Redis
  • Authentication
  • Microservices
  • Distributed Applications
  • Api Integration
  • Web Application Architecture

Low-Level & Systems Engineering

  • C
  • C++
  • Systems Programming
  • Networking
  • Tcp/Ip
  • Client/Server Systems
  • Multithreading Concepts
  • Concurrency
  • Memory Management
  • Performance Optimization
  • Interprocess Communication
  • Data Acquisition
  • Hardware/Software Interfaces
  • Real-Time Concepts
  • Debugging
  • Profiling

Cloud & Platform Engineering

  • Aws
  • Azure
  • Gcp
  • Docker
  • Kubernetes
  • Terraform
  • Ci/Cd
  • Cloud-Native Architecture
  • Microservices
  • Distributed Systems
  • Serverless Concepts
  • Infrastructure Automation
  • Monitoring
  • Scalability
  • Reliability
  • High Availability

Systems Engineering

  • System Architecture
  • Requirements Analysis
  • Interface Design
  • System Integration
  • Distributed Architecture
  • Reliability Engineering
  • Performance Engineering
  • Verification & Validation
  • Root-Cause Analysis
  • Testing
  • Technical Documentation
  • Lifecycle Engineering

Embedded Systems & Iot

  • C/C++
  • Python
  • Embedded Linux
  • Arm Cortex-M
  • Stm32
  • Esp32
  • Rtos Concepts
  • Uart
  • Spi
  • I²C
  • Can
  • Ethernet
  • Tcp/Ip
  • Mqtt
  • Sensor Integration
  • Telemetry
  • Edge Computing
  • Hardware/Software Integration

Aerospace & Satellite

  • Aerospace Software Concepts
  • Satellite Systems Concepts
  • Telemetry & Telecommand
  • Flight/Ground Software Concepts
  • Sensor Data Processing
  • Communications
  • Navigation Data Processing
  • Mission Data Pipelines
  • Real-Time Systems
  • Simulation
  • Fault Detection
  • Verification & Validation

Technical Skills

  • Languages: Python, C, C++, C#, Java, Javascript, Typescript, Sql
  • Scientific Computing: Numpy, Pandas, Scikit-Learn, Pytorch, Tensorflow, Xgboost, Spark, Statistical Analysis, Numerical Computing, Computational Modeling, Optimization
  • Ai/Ml: Machine Learning, Deep Learning, Nlp, Transformers, Generative Ai, Llms, Rag, Vector Databases, Classification, Regression, Forecasting, Anomaly Detection, Model Evaluation
  • Full Stack: React, Next.Js, Typescript, Javascript, Node.Js, Fastapi, Django, Rest, Graphql, Postgresql, Mongodb, Redis
  • Systems: C/C++, Networking, Tcp/Ip, Client/Server Architecture, Systems Programming, Concurrency Concepts, Memory Management, Data Acquisition, Performance Optimization, Debugging
  • Cloud: Aws, Azure, Gcp, Docker, Kubernetes, Terraform, Ci/Cd, Microservices, Cloud-Native Systems
  • Embedded/Iot: Embedded Linux, Arm Cortex-M, Stm32, Esp32, Rtos Concepts, Uart, Spi, I²C, Can, Ethernet, Mqtt, Sensors, Telemetry, Edge Computing
  • Aerospace/Satellite: Satellite Systems Concepts, Aerospace Software, Telemetry & Telecommand, Flight/Ground Software Concepts, Sensor Data Processing, Communications, Simulation, Verification & Validation
  • Systems Engineering: Architecture, Requirements Analysis, System Integration, Interface Design, Verification & Validation, Reliability, Performance Engineering, Root-Cause Analysis, Technical Documentation

Languages

Russian
Native
Ukrainian
Native
English
Advanced

Education

Jan 2002 - Dec 2004

Universitatea Tehnică a Moldovei

Master's Degree · Computer Engineering · Moldova, Republic of

Jan 1996 - Dec 2000

Universitatea Tehnică a Moldovei

Bachelor's Degree · Computer Science · Moldova, Republic of

Statistics

Experience

Total positions 4
Experience in Information Technology 25.5 y
Avg length 6 y 4 m
Longest experience 7 y 1 m

Global experience

Countries worked in 1 (Moldova, Republic of)
Primary country Moldova, Republic of

Expertise

Recent roles Principal AI/ML, Cloud & Systems Engineer, Senior Machine Learning, Data & Software Engineer, Senior Full-Stack, Systems & Embedded Software Engineer
Main industries Information Technology, Banking and Finance
Main business areas Information Technology, Product Development

Qualifications

Highest degree Master
Member since
Last update
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Frequently asked questions

Have questions? Find more information here.

Serghei is based in Tiraspol, Moldova, Republic of and prefers 100% remote projects.

Serghei speaks the following languages: Russian (Native), Ukrainian (Native), English (Advanced).

Serghei has at least 26 years of experience. During this time, Serghei has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 6 years and 5 months. Note that Serghei may not have shared all experience and actually has more experience.

Based on recent experience, Serghei would be well-suited for roles such as: Principal AI/ML, Cloud & Systems Engineer, Senior Machine Learning, Data & Software Engineer, Senior Full-Stack, Systems & Embedded Software Engineer.

Serghei's most recent position is Principal AI/ML, Cloud & Systems Engineer at EBS Integrator.

In recent years, Serghei has worked for EBS Integrator.

Serghei is most experienced in industries like Information Technology and Banking and Finance.

Serghei is most experienced in business areas like Information Technology and Product Development.

Serghei has recently worked in industries like Information Technology.

Serghei has recently worked in business areas like Information Technology and Product Development.

Serghei holds a Master in Computer Engineering from Universitatea Tehnică a Moldovei and a Bachelor in Computer Science from Universitatea Tehnică a Moldovei.

Serghei is immediately available full-time for suitable projects.

Daily rate distribution

0% 25% 50% 75% 100%
14% of experts charge less than €320 per day.
29% of experts charge between €320 and €400 per day.
29% of experts charge between €400 and €480 per day.
14% of experts charge between €560 and €640 per day.
14% of experts charge €720 or more per day.
<€320 €320-​400 €400-​480 €560-​640 €720+

The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

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Daily rate avg. 417 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

600
450
300
150
Rate comparison chart
Median rate 400 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 23 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.