Professional Experiences
Accomplished Full-Stack Engineer with over 5.5 years of experience designing and delivering scalable, AI-powered and cloud-native applications across AWS, Azure, and GCP. Expertise in GenAI, Agentic AI, LLM integration, and data engineering, with a strong track record of building intelligent systems that improve automation, decision-making, and business performance. Skilled in backend development, distributed systems, and full-stack architectures using Python, C#, TypeScript, T3 Stack, and MERN. Experienced in Infrastructure as Code (IaC), Kubernetes, CI/CD, and DevOps automation, building secure, resilient, and highly available platforms
Full-Stack Engineer & Project Manager
- Spearheaded the design of AI SaaS solutions, progressing from a chatbot to autonomous multi-agent systems featuring selfcorrection and error recovery capabilities. - Engineered and implemented comprehensive AI SaaS solutions (requirements analysis, architecture design, development, and production deployment). - Developed scalable AI inference APIs and microservices utilizing asynchronous orchestration. - Industrialized GenAI solutions through LLM validation pipelines and multi-agent workflows (LangGraph). - Collaborated with business teams to identify AI use cases, translate requirements into technical solutions, and prioritize initiatives based on business value.
Full-Stack AI Developer
- Developed tailored business applications utilizing Python, FastAPI, MERN, and React/Next.js, while ensuring an optimal balance of performance, scalability, and user experience. - Engineered high-performance backend services utilizing Node.js, Python, and FastAPI to connect inference engines with clients' information systems through robust APIs. - Developed reusable components and multi-agent workflows (LangGraph, MCP) that expedited project timelines.
Full-Stack Developer
- Developed a AI-powered travel booking platform for 1k+ clients, walkthrough travels, advanced itinerary generation, booking flights, AI support assistant, system notifications and payment workflow using React.js, Node.js and PostgreSQL - Modernized a legacy travel platform by designing and integrating a complete end-to-end booking flow, AI-powered chatbot, post-reservation technical support chat system, secure payment infrastructure, semantic search, and personalized recommendation engines, resulting in significantly higher user engagement and session duration. - Optimized real-time backend data pipelines to handle concurrent partner API requests, dramatically reducing response times for live flight and hotel inventory. - Implemented Stripe subscription management and secure webhook system to automate payments, billing, and end-to-end booking confirmations.
Full-Stack Web Engineer & QA Tester
Led development of cloud-native digital signage platform serving 15,000+ screens across 50+ countries. Architected scalable microservices infrastructure with Node.js/Koa, MongoDB, and Redis. Implemented real-time synchronization using WebSockets and GraphQL, reducing latency by 90%. Integrated AI-powered content management with OpenAI and Google Vertex AI, improving workflow efficiency by 70%. Deployed containerized solutions on AWS Fargate with CI/CD pipelines, achieving 99.9% uptime.
Final Year Engineering Internship
Spearheaded development of digital signage platform for global brands (HP, Shell, Nissan). Migrated REST APIs to GraphQL, reducing data payloads by 60%. Implemented real-time synchronization across distributed displays using WebSockets and Redis Pub/Sub. Delivered AI-driven media management features and maintained 85% test coverage with Jest.
Second Year Engineering Internship
Helped deliver a web solution processing & monitoring 2K+ records/day about stats & connectivity status of 5K+ internet users, reducing intervention time for user issues and improving retrieval speed by ~50%
First Year Engineering Internship
Integrated smoothly into the team, quickly learned company processes, and began contributing to project delivery, Created features for an asset‑tracking platform using React.js and Node.js, reducing delays in viewing data
Work Experience
Building innovative solutions and leading teams across various technologies and domains.
Python / Django Developer — Data Collection
Qodek
- • Designed and optimized Python/Django data pipelines for a SaaS platform providing company, minutes (PV), and CSE election data, sourced from French public APIs and web scraping.
- • Built asynchronous extraction jobs leveraging LLMs to extract structured data from documents, deployed on AWS (ECS, RDS) and automatically scheduled by period and company segment.
- • Corrected and improved ingested data quality, and optimized existing features including API-based data extraction.
- • Developing a 100% human live support chat in Django, with bidirectional Slack threads (signed webhook, kill switch, AWS Secrets Manager), first deployed to staging.
Full-Stack Lead Engineer & Founder (Cloud & AI Systems)
DevScale Digital Solutions
- • Responsible for the technical roadmap and architecture of a portfolio of SaaS and AI platforms for clients, translating business needs into a prioritized roadmap of over 5 initiatives.
- • Led multi-cloud DevOps delivery of microservices handling over 1,000 concurrent requests across more than 3 client missions in parallel: Kubernetes/Docker, Terraform, and CI/CD on AWS, Azure, and GCP.
- • Integrated AI coding tools (Claude, Claude Code) into daily development (precise prompts, generated code review, self-correction and automated testing steps), improving result reliability by 30% and reducing manual QA effort by 40%.
- • Defined engineering standards (code review, testing, data flows) on production systems.
Full-Stack Developer
Freelance / Self-Employed
- • Developed Node.js/.NET Core back-ends exposing optimized GraphQL and REST APIs on PostgreSQL and MongoDB, with multi-level caching and clear data models.
- • Responsible for architecture, performance, and scalability choices on over 4 client projects, independently from specification to deployment.
- • Created reusable cloud-deployable UI components and Docker workflow modules, reducing delivery times by 20%.
Full-Stack Developer
Go-Makkah
- • Integrated Stripe and local payment methods with secure event-driven webhooks.
- • Architected a conversational AI REST service for bookings, support, and contextual requests, automating over 70% of common inquiries across multiple channels.
- • Built validation pipelines based on schema-constrained LLM outputs for reliable API responses; designed a semantic search engine and real-time recommendation system to improve conversion.
Full-Stack Web Developer
B2B-Alive Ltd
- • Modernized legacy REST APIs into a unified access-controlled GraphQL layer (SSO, OAuth2, MFA), raising integration test coverage to over 80% (Jest, Cypress) for a SaaS platform streaming to over 10,000 devices (Shell, HP, Carrefour, Nissan).
- • Containerization and multi-cloud CI/CD (Kubernetes, Docker, Terraform) on AWS and Azure, reducing deployment times by 30%.
- • Queue-based transcoding pipeline (Redis, BullMQ) processing over 5,000 jobs per day.
- • Event-driven fleet monitoring system feeding a centralized ELK pipeline: automatic anomaly detection and MTTR reduced by 50%.
- • Frontend SPA rebuild with React, TypeScript, Vite, and Tailwind CSS on Cloudflare Workers, reducing bundle size by 45%.
- • Defined code quality standards, code reviews, and mentored over 3 junior developers.