Kostychev Konstantin

Rising Codementor

US$12.00

For every 15 mins

ABOUT ME

Full Stack & BlockChain & AI/ML Developer

Experienced Full Stack & Blockchain & AI/ ML Developer with 10+ years of success building decentralized, real-time web applications and optimizing legacy systems. Specialized in EVM smart contract development, crypto payments, and Web3 integrations (Metamask, WalletConnect, Coinbase Wallet). Also Specialized in LLMs (GPT-4, LangChain, Haystack), RAG pipelines, and intelligent agent workflows. Proven track record in modernizing codebases, scaling blockchain infrastructure, and enhancing UI/UX fsor Web3 ecosystems. Adept at Solidity, Node.js, Golang, React, and cloud-native DevOps. Passionate about revolutionizing digital experiences in music, finance, and identity through blockchain.

Almaty (+05:00)

Joined February 2025

EXPERTISE

10 years experience

10 years experience

7 years experience

10 years experience

7 years experience

8 years experience

10 years experience

REVIEWS FROM CLIENTS

Kostychev's profile has been carefully vetted and approved as a Codementor. Connect with Kostychev now, and leave a review for them once you're done!

EMPLOYMENTS

Fullstack Software Engineer

Unical

2020-02-01-2025-01-01

Developed an AI-powered financial analytics platform using React.js, FastAPI, and TensorFlow, allowing real-time fraud detection,...

Developed an AI-powered financial analytics platform using React.js, FastAPI, and TensorFlow, allowing real-time fraud detection, increasing accuracy by 40%, and reducing financial risks for enterprise clients.
Designed a real-time cloud monitoring system with Golang (Gin), Prometheus, and Grafana, providing real-time anomaly detection and predictive analytics, reducing server downtime by 35%.
Built a serverless API gateway using AWS Lambda and API Gateway to enable scalable microservices-based architecture, reducing infrastructure costs by 30%.
Implemented a dynamic A/B testing dashboard with D3.js and WebSockets, enabling real-time UI experiments, leading to a 15% increase in conversion rates.
Developed a secure, multi-tenant authentication system with OAuth2, JWT, and AWS Cognito, improving login security and compliance with ISO 27001 standards.
Created a high-frequency trading bot with Python, Kafka, and Redis, executing algorithmic trading strategies in under 5 milliseconds, boosting transaction efficiency.
Designed an AI-powered chatbot using TensorFlow, NLP (spaCy), and Flask, automating customer support, reducing support tickets by 50%.
Built an advanced image-processing pipeline with OpenCV and PyTorch, automating medical image analysis for a healthcare client, increasing diagnosis accuracy by 25%.
Integrated CI/CD pipelines with Jenkins and GitHub Actions, automating deployments and reducing build failures by 40%.
Developed a blockchain-based document verification system using Solidity, Ethereum, and IPFS, ensuring tamper-proof document validation.
Created a real-time notification service with Kafka and WebSockets, improving user engagement and reducing latency in notifications.
Optimized cloud infrastructure using Kubernetes and Terraform, improving application uptime to 99.9%.

Python

Flask

OpenCV

Python

Flask

OpenCV

D3.js

Jenkins

WebSocket

Redis

OAuth 2.0

React

Jwt

Apache Kafka

Kubernetes

Ethereum

Terraform

TensorFlow

Grafana

AWS Lambda

Solidity

IPFS

API Gateway

Prometheus

PyTorch

Golang

GitHub Actions

Fastapi

Full Stack Software Developer

Promodo

2018-05-01-2020-01-01

Developed a DeFi trading platform using React.js, Web3.js, and Solidity, enabling decentralized peer-to-peer cryptocurrency excha...

Developed a DeFi trading platform using React.js, Web3.js, and Solidity, enabling decentralized peer-to-peer cryptocurrency exchange.
Created a smart contract auditing tool using Rust and WebAssembly, improving security checks and reducing vulnerabilities in Ethereum contracts.
Implemented a predictive analytics engine with TensorFlow and PySpark, forecasting market trends with 85% accuracy.
Developed an NFT marketplace using Golang (Fiber), MongoDB, and Ethereum, supporting over 100,000 transactions per second.
Built an AI-powered financial risk assessment model using XGBoost and scikit-learn, reducing false positives in fraud detection.
Integrated Firebase and GraphQL APIs, optimizing data retrieval performance by 30%.
Created a blockchain-based identity verification system using Hyperledger Fabric, reducing onboarding time for financial institutions.
Designed a WebSocket-based real-time trading dashboard, handling over 1 million transactions daily.
Developed a Kubernetes-powered microservices infrastructure, enabling high availability and auto-scaling.
Automated API testing and performance monitoring using Cypress and Selenium, improving release stability.
Built a secure multi-factor authentication system with Twilio, AWS Cognito, and OTP mechanisms.
Led a team in the migration of monolithic applications to a microservices architecture, reducing downtime by 50%.
Created a decentralized voting system using Solidity and IPFS, ensuring transparent and immutable elections.

MongoDB

Selenium

WebSocket

MongoDB

Selenium

WebSocket

Firebase

Twilio

React

Rust

Apache Spark

Kubernetes

Ethereum

GraphQL

TensorFlow

Solidity

XGBoost

Web3

Hyperledger

Golang

WebAssembly

Cypress

Fiber optics

Scikit-learn

Web Developer (React.js & Data Visualization)

KSPr

2015-06-01-2018-04-01

Developed an AI-powered medical diagnosis platform using Python (FastAPI), TensorFlow, and React.js, improving early disease dete...

Developed an AI-powered medical diagnosis platform using Python (FastAPI), TensorFlow, and React.js, improving early disease detection rates by 30%.
Created a dynamic data visualization platform using D3.js and MongoDB, enabling real-time insights for financial institutions.
Developed an AI-powered chatbot assistant for HR applications, increasing recruitment efficiency by 40%.
Designed a real-time sports analytics dashboard using Kafka and WebSockets, providing live AI-driven game insights.
Built an AI-based resume screening system, reducing hiring time by 35% for HR teams.
Developed a smart IoT dashboard with React.js and MQTT, improving real-time device monitoring.
Optimized cloud infrastructure with Kubernetes, reducing server costs by 25%.
Developed a blockchain-based voting system, ensuring tamper-proof electoral processes.
Integrated a microservices-based recommendation engine, improving user personalization by 50%.
Built an AI-powered facial recognition system, enhancing security applications.
Automated API testing with Jest and Mocha, increasing code coverage to 90%.
Developed a GraphQL-powered search engine, improving query speed by 30%.
Trained and mentored junior developers, improving overall team productivity.

Python

MongoDB

D3.js

Python

MongoDB

D3.js

WebSocket

Mocha

React

Jest

Apache Kafka

Kubernetes

GraphQL

TensorFlow

MQTT

Fastapi

PROJECTS

AI-Powered Financial Fraud Detection SystemView Project

2024

-Designed and developed a real-time fraud detection system leveraging AI/ML models, reducing fraudulent transactions by 40%. -Built a mic...

-Designed and developed a real-time fraud detection system leveraging AI/ML models, reducing fraudulent transactions by 40%. -Built a microservices-based backend using Python (FastAPI) and Golang, ensuring high performance and scalability. Implemented Kafka-based event-driven architecture to handle high-frequency transactions and real-time risk assessments. -Developed a React.js-based admin dashboard for financial analysts to monitor transaction behaviors and anomaly detection alerts. -Deployed on AWS with Kubernetes and Terraform, ensuring 99.99% uptime and auto-scaling capabilities.

HTML/CSS

Python

SQL

HTML/CSS

Python

SQL

Node.js

TypeScript

React

JavaScript

AI-Powered Resume Screening SystemView Project

2024

-Developed an AI-driven resume parser and job matching engine, improving hiring efficiency by 40%. -Integrated natural language processin...

-Developed an AI-driven resume parser and job matching engine, improving hiring efficiency by 40%. -Integrated natural language processing (NLP) to analyze resumes and extract candidate experience, skills, and job fit scores. -Built a React.js-based dashboard for recruiters to review AI-ranked candidates in real-time. -Implemented Kafka for processing job applications asynchronously, reducing response time by 50%. -Deployed the application on AWS with Kubernetes and auto-scaling, handling over 500,000 job applications per month.

HTML/CSS

Python

Java

HTML/CSS

Python

Java

SQL

Node.js

TypeScript

React

JavaScript