I’m a Senior Backend Developer specializing in Node.js, TypeScript, and cloud-based architectures. With over 7 years of experience, I have built scalable, high-performance APIs and microservices for various industries, including Fintech, Lead Generation, and Blockchain.
What sets me apart is my ability to optimize system performance, implement efficient data processing solutions, and integrate third-party services seamlessly. I have extensive experience working with AWS, Kubernetes, and CI/CD pipelines, ensuring smooth deployments and scalable infrastructures.
Senior Backend Developer – Dealcode
2022 - Present
Developed a lead generation platform integrating LinkedIn and Google APIs, improving data accuracy and reducing API costs.
Designed scalable microservices with Node.js, TypeScript, and AWS Lambda, optimizing cloud expenses.
Implemented Redis caching and database indexing, reducing query response time by 40%.
Backend Developer – Intellias (Goodyear Project)
2021 - 2022
Built the backend for Goodyear’s mobile app and admin panel, ensuring real-time data synchronization.
Designed and optimized APIs using NestJS, PostgreSQL, and AWS services.
Integrated authentication mechanisms (OAuth2, JWT) and enhanced system security.
Backend Developer – All.me / Kindda (Blockchain & Social Media)
2019 - 2021
Developed a TikTok-like mobile application backend, handling millions of daily transactions.
Integrated Kafka streaming for real-time event processing and Elasticsearch for fast search capabilities.
Designed a high-performance content delivery system, optimizing data processing and retrieval.
Backend Developer – ACN LLC (OleoBet - Gambling Platform)
2017 - 2019
Developed a gambling and casino platform, handling secure payments and real-time transactions.
Integrated third-party payment gateways, ensuring seamless transactions and fraud detection.
Designed scalable microservices architecture using Node.js, RabbitMQ, and AWS ECS.
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Dealcode.ai is an AI-powered lead generation platform designed to streamline and optimize the process of finding high-quality leads for businesses. The platform integrates Google Vertex AI, LinkedIn APIs, and machine learning models to automate data collection, enrichment, and predictive analytics, helping sales teams target the right prospects efficiently.
As a Back-End Developer, I was responsible for:
Developing scalable APIs using Node.js, TypeScript, and NestJS to handle large volumes of lead data.
Optimizing data processing pipelines, ensuring high accuracy in lead retrieval and reducing API costs.
Integrating AWS services (S3, Lambda, RDS, and SQS) for cloud-based scalability and storage.
Implementing Redis caching to enhance query performance and reduce response times.
Working with machine learning engineers to refine lead qualification models and data processing workflows.
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