Kostychev Konstantin
Mentor
Rising Codementor
US$12.00
For every 15 mins
ABOUT ME
Full Stack & AI/ML Developer with over 9 years of experience
Full Stack & AI/ML Developer with over 9 years of experience
Innovative and results-driven Senior Full Stack Developer & AI/ML developer with over 9 years of experience designing and developing high-performance, scalable, and AI-powered web applications. Expertise in AI/ML, Python, Golang, Node.js, and JavaScript, with a strong background in React.js, Angular, TypeScript, and Django. Adept at creating complex, data-driven visualizations, optimizing cloud-based architectures, and developing real-time applications for industries such as FinTech, AI, Blockchain, Cloud Platforms, and DevOps. Experienced in microservices architecture, API integrations, distributed systems, and cloud-native development. Passionate about problem-solving, scalability, and developing cutting-edge AI-powered applications that drive business success.
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
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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
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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
Go
GitHub Actions
Fastapi
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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
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MongoDB
Selenium
WebSocket
Firebase
Twilio
React
Rust
Apache Spark
Kubernetes
Ethereum
GraphQL
TensorFlow
Solidity
XGBoost
Web3
Hyperledger Fabric
Go
WebAssembly
Cypress
Fiber optics
Scikit-learn
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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
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Python
MongoDB
D3.js
WebSocket
Mocha
React
Jest
Apache Kafka
Kubernetes
GraphQL
TensorFlow
MQTT
Fastapi
AI
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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
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HTML/CSS
Python
SQL
Node.js
TypeScript
React
JavaScript
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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
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HTML/CSS
Python
Java
SQL
Node.js
TypeScript
React
JavaScript
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