About
Full Stack Engineer with over 9 years of experience architecting scalable microservices and data-driven applications in fintech, e-commerce, and healthcare. Built efficient systems with Python and React, enhancing fraud detection and user experiences. Passionate about cross-functional collaboration to drive business KPIs, foster data-driven cultures, and innovate in cloud-native environments.
Skills & Expertise (39)
Work Experience
Full Stack Engineer
Sardine
Mar 2022 - Aug 2025
Architected and maintained FastAPI + PostgreSQL microservices processing 200K+ daily transactions, ensuring high concurrency and 99.9% service uptime. Integrated ML-based fraud detection models (scikit-learn, XGBoost) that reduced fraudulent activity by 28% across card and instant-transfer systems. Developed React + Next.js dashboards with TailwindCSS for real-time risk and payment monitoring, improving operations visibility. Led the migration of legacy Angular 8+ compliance modules to modern React, preserving PCI-DSS and ISO 27001 compliance standards. Collaborated cross-functionally with DevOps and QA teams to automate testing and container orchestration via AWS ECS/Kubernetes, cutting deployment time by 40%.
Full Stack Developer
OroCommerce
Feb 2019 - Jan 2022
Developed Django REST APIs powering multi-vendor storefronts and B2B integrations, improving partner onboarding speed by 30%. Migrated legacy Angular dashboards to modern React and Next.js architecture, cutting page load times by 35% and improving Lighthouse SEO scores. Implemented Elasticsearch indexing for 2M+ product items, enabling sub-second product search and dynamic recommendations. Built ML-driven recommendation engine (scikit-learn) that increased upsell conversion by 18%. Partnered with UI/UX and product teams to align technical delivery with business KPIs, fostering a data-driven development culture.
Python Developer
DOC.ua
Sep 2016 - Nov 2018
Assisted in developing Flask and AngularJS modules for clinical data management while following HIPAA and GDPR compliance guidelines. Supported data scientists by building Python scripts using NumPy and SciPy to clean and analyze research datasets. Helped integrate PostgreSQL and Redis databases for faster medical record retrieval and data caching. Contributed to internal testing and debugging, improving code reliability and documentation for future releases. Collaborated with senior developers and bioinformatics teams to prototype Python-based simulations used in early-stage drug research.
Education
Bachelor of Computing in Computer Science - Indian Institutes of Information Technology
2014 - 2018 · Afghanistan
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Skills (39)
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