Available to hire
Hi, I’m Vadim Shakhov, a Senior Software Engineer based in Brooklyn. I build scalable full-stack web applications and API-driven services across consumer, logistics, and AdTech domains, with deep expertise in React, Next.js, TypeScript, Node.js, NestJS, Python, Django, and Ruby on Rails.
I love partnering with product and design teams to translate user needs into reliable, maintainable solutions on AWS, and I enjoy bringing AI-powered features to life with OpenAI and LangChain while mentoring teammates to raise code quality and platform stability.
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Language
English
Fluent
Work Experience
Senior Software Engineer at Enerflo
February 1, 2022 - December 1, 2025Collaborated with product and design teams to integrate AI-assisted capabilities into existing NestJS and Node.js services using external ML/LLM APIs, improving search relevance and data enrichment accuracy by 15%–20% while maintaining stable API latency in production. Designed and optimized backend endpoints to consume AI inference results (classification, ranking, summarization), reducing manual processing and operational overhead by 18% through automated decision support. Implemented asynchronous pipelines and background jobs for AI workloads (prompt orchestration, batch inference, result processing), improving throughput and reducing request blocking by 25% under peak load. Enhanced Next.js-based React applications with AI-driven features such as smart suggestions and assisted inputs, reducing user task completion time by 12%–15% and improving feature adoption. Introduced caching, validation, and fallback strategies around AI service calls, reducing AI-related errors and degrad
Software Engineer at iFit
June 1, 2020 - January 1, 2022Developed and maintained responsive web applications using React 16 and TypeScript, partnering with product managers to implement reusable component libraries and optimized state management that improved page load performance by 25% and increased user engagement by 18%. Integrated the OpenAI API into existing Node.js microservices to support AI-powered features such as summarization, classification, and intelligent assistance, reducing manual processing and support overhead by 20%, improving response relevance by 15%, and maintaining stable latency through production-grade error handling, rate limiting, and observability. Designed, maintained, and optimized backend microservices using Node.js, exposing RESTful APIs and improving service scalability and fault tolerance to reduce average API response times by 22% under production load. Deployed and operated containerized services using Docker and Kubernetes (EKS) on AWS, contributing to more reliable rollouts and improving system availab
Backend Engineer at UPS
October 1, 2018 - November 1, 2020Optimized PostgreSQL query performance by profiling high-volume database calls, tuning indexes, and refactoring inefficient queries, reducing average execution time from 5s to 2s and cutting end-to-end job completion time by 60% across millions of production queries. Improved code quality and system reliability by embedding automated unit and integration testing into each sprint cycle, reducing defect density by 30% and achieving ~80% test coverage, resulting in more stable releases and fewer production regressions. Contributed to real-time package tracking and notification pipelines using Kafka, enabling event-driven updates and near real-time delivery status changes that increased customer satisfaction by 15% and reduced inbound support inquiries. Enhanced application responsiveness by 10%–15% by optimizing backend response payloads and coordinating on-demand component loading with frontend teams.
Full-Stack Developer at Showroom Logic
October 1, 2017 - September 1, 2018Developed API integrations with major advertising platforms, including Google AdWords, Facebook Ads, Bing Ads, and AutoWeb, enabling large-scale campaign synchronization and improving data accuracy and delivery reliability by 25%. Designed and built large-scale ad generation systems using Python and Django, supporting the creation and synchronization of tens of thousands of ads per cycle while maintaining high throughput and operational stability. Re-architected the ad generation pipeline to maximize performance, optimizing batching, concurrency, and API usage patterns, reducing synchronization times by 45% and significantly improving campaign turnaround speed. Maintained and operated production services on AWS, primarily using EC2, RDS, and S3, while leveraging CloudWatch for centralized logging, monitoring, and alerting across critical advertising workflows. Supported and stabilized legacy systems built with PHP, Doctrine2, and AngularJS, reducing production issues by 20% while enabl
Front-end Developer at Knock
August 1, 2016 - October 1, 2017Built and shipped the initial front-end application for the Knock web product using JavaScript (ES6) and React 15, delivering core user-facing features and reducing initial feature delivery time by 37% during early product development. Implemented responsive, component-based UI patterns with HTML5 and CSS3, translating design mockups into reusable React components and improving UI consistency and reuse by 45%. Integrated front-end features with REST APIs, ensuring reliable data handling and smooth user interactions, which reduced client-side errors and UI-related defects by 20%. Collaborated closely with design and product teams to refine user experiences and clarify requirements, helping accelerate iteration cycles and reduce rework by 15%. Improved front-end performance by optimizing rendering behavior, resulting in 10%–15% faster page responsiveness. Worked autonomously as an early team member, managing front-end priorities end-to-end and consistently delivering milestones on sche
Education
NYS Real Estate License at Fordham University
January 11, 2030 - January 16, 2026Computer Programming Courses at Coursera
January 11, 2030 - January 16, 2026NYS Real Estate License Courses at Fordham University
January 11, 2030 - January 26, 2026Coursera - Computer Programming at Coursera
January 11, 2030 - January 26, 2026Qualifications
NYS Real Estate License
January 11, 2030 - January 16, 2026Coursera Computer Programming Courses
January 11, 2030 - January 16, 2026NYS Real Estate License
January 11, 2030 - January 26, 2026Coursera Certificate - Computer Programming
January 11, 2030 - January 26, 2026Industry Experience
Software & Internet, Media & Entertainment, Retail, Professional Services, Transportation & Logistics
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