Nikolai Petrov

Frontend Developer

https://talent.gravityer.com/nikolai-petrov

Sofia, Sofia City Province, BulgariaMember since June 29, 2026

Key Strengths

Demonstrated proficiency in AWS services, including VPC, EC2, RDS, S3, Lambda, API Gateway, SNS, SQS, Textract, DynamoDB, SES, Lex, Translate, Polly, and Rekognition.
Experience with Docker for containerization and CI/CD pipeline implementation.
Basic understanding of web technologies like HTML, CSS, and JavaScript.
Exposure to Python for serverless functions and data pipelines.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on AWS cloud infrastructure and serverless architectures, with a strong emphasis on backend and DevOps-related tasks. While there are projects involving HTML, CSS, and JavaScript, the depth of frontend-specific work appears limited. This profile suggests a stronger alignment with a Cloud Engineer or Backend Developer role rather than a dedicated Frontend Developer role, indicating a potential mismatch for the target role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

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Projects

docker-local-web-server

June 4, 2026 – Present

Local web server with Docker

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BitesINPlay.github.io

March 30, 2026 – Present

BitesINPlay.github.io — GitHub repository

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2048-game-cicd

March 14, 2026 – Present

This project is a web-based 2048 game containerized with Docker and deployed on AWS using a CI/CD pipeline.

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AWS-Two-Tier-Todo-App-Deployment

March 12, 2026 – Present

Deployed a two-tier AWS web application using VPC, ALB, Auto Scaling EC2, and RDS MySQL, with secure networking through public/private subnets and high availability across multiple Availability Zones.

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aws-receipt-processing-system

March 10, 2026 – Present

Serverless AWS system for automatic receipt processing using S3, Lambda, Textract, DynamoDB and SES

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aws-data-lake-csv-pipeline

March 9, 2026 – Present

This project demonstrates an end-to-end AWS data pipeline for ingesting, transforming, and analyzing CSV data.

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event-announcement-system

March 6, 2026 – Present

Serverless event announcement system built with AWS S3, API Gateway, Lambda and SNS.

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lex-translate-bot

February 19, 2026 – Present

Amazon Lex chatbot for translating text using AWS Lambda and Amazon Translate

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text-narrator-using-amazon-polly

February 18, 2026 – Present

AWS Lambda function that converts text to speech using Amazon Polly and stores the result in S3.

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image-labels-generator-aws

February 17, 2026 – Present

This project uploads images to Amazon S3 and analyzes them using Amazon Rekognition to detect labels.

View Project

Key Strengths

Demonstrated proficiency in AWS services, including VPC, EC2, RDS, S3, Lambda, API Gateway, SNS, SQS, Textract, DynamoDB, SES, Lex, Translate, Polly, and Rekognition.
Experience with Docker for containerization and CI/CD pipeline implementation.
Basic understanding of web technologies like HTML, CSS, and JavaScript.
Exposure to Python for serverless functions and data pipelines.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

Nikolai Petrov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit