Full Stack Software Engineer with 4+ years of experience building scalable, production-ready Python applications across ML/AI,
healthcare, HR, and EdTech domains. Skilled in designing distributed systems and event-driven…
Full Stack Software Engineer with 4+ years of experience building scalable, production-ready Python applications across ML/AI,
healthcare, HR, and EdTech domains. Skilled in designing distributed systems and event-driven microservices architectures, writing
thorough unit and integration tests, and translating data science models into reliable backend services. Experienced in the complete
development lifecycle — from gathering requirements and documenting technical solutions through to deployment and production
monitoring. Comfortable working across the stack: Python (FastAPI, Django, Flask) on the backend and React JS / React Native on
the frontend. Currently working at the intersection of backend engineering and Agentic AI — building autonomous systems using
LangGraph, CrewAI, and AutoGen for enterprise clients in Saudi Arabia
Collaborated with clients to gather requirements and research and document technical solutions before writing a line of code — reducing rework and ensuring delivered systems matched actual business needs
Wrote efficient, reusable, and testable Python code for ML/AI and data applications, including LLM-powered APIs for document summarization and structured data extraction, deployed on AWS/GCP via FastAPI and Docker
Translated data science model inputs and outputs into production-ready services — handling data validation (PydanticAI), schema contracts, and API versioning to ensure stable integration with downstream systems
Architected multi-agent AI pipelines using LangGraph, CrewAI, and AutoGen (AG2), reducing client manual processing time by 50% through workflow automation across HR and enterprise knowledge management domains
Built Agentic RAG systems using LangGraph and Docling, enabling conversational querying over large document repositories with high retrieval accuracy and sub-2 second response times
Developed and maintained automated CI/CD pipelines for testing and deploying AI-powered services on AWS ECS and GCP Cloud Run, reducing deployment errors and enabling continuous delivery
Participated in code reviews, documented API contracts with Swagger/OpenAPI, and mentored junior developers on clean architecture, testing practices, and LLM integration patterns
Collaborated with clients to gather requirements and research technical solutions, Wrote efficient, reusable Python code for ML/AI applications, Translated data science model inputs into production-ready services, Architected multi-agent AI pipelines, Built Agentic RAG systems, Developed and maintained automated CI/CD pipelines, Participated in code reviews and mentored junior developers
Led backend development for an EdTech platform serving 50,000+ active users, designing a distributed microservices architecture using Python, Django, Docker, and Kubernetes — with each service independently deployable and testable
Optimized REST APIs to reliably handle 200,000+ daily requests through Redis caching, PostgreSQL query optimization, and load-aware service decomposition across distributed nodes
Achieved 85%+ automated test coverage by writing comprehensive unit and integration tests with pytest, substantially reducing production incidents and enabling faster, safer releases
Reduced deployment time by 60% by building end-to-end CI/CD pipelines with GitHub Actions and Jenkins, including automated test gates before every staging and production promotion
Managed multi-cloud infrastructure across AWS, Azure, and GCP, ensuring 99.9% uptime through proactive monitoring, alert configuration, and infrastructure-as-code practices
Led Agile ceremonies for a cross-functional team of 8+; worked closely with product management to break requirements into deliverable sprint tasks and maintain consistent velocity
Led backend development for an EdTech platform, Optimized REST APIs, Achieved 85%+ automated test coverage, Reduced deployment time by 60%, Managed multi-cloud infrastructure, Led Agile ceremonies
Built and maintained full-stack web applications using Django, DRF, and React JS — responsible for both RESTful API design and frontend component development with a focus on responsive design and UX best practices
Designed and optimized PostgreSQL and MySQL schemas for complex relational data, applying normalization, indexing strategies, and query profiling to improve data retrieval performance significantly
Integrated TensorFlow-based ML models into production Django APIs, working alongside data scientists to understand model input/output contracts and wrap them in reliable, versioned REST endpoints
Implemented event-driven task pipelines using Celery and RabbitMQ for asynchronous processing, improving system throughput and user-facing response times for data-heavy operations
Deployed containerized services using Docker and Kubernetes on AWS and Azure, configured Nginx reverse proxies, and maintained CI/CD workflows using GitHub Actions and Jenkins
Conducted regular code reviews, established shared coding standards across the team, and contributed to improving test coverage and reducing technical debt in legacy modules
Built and maintained full-stack web applications, Designed and optimized PostgreSQL and MySQL schemas, Integrated TensorFlow-based ML models into production APIs, Implemented event-driven task pipelines, Deployed containerized services, Conducted regular code reviews and established coding standards
Developed RESTful APIs with Django REST Framework and Flask, writing full Swagger/OpenAPI documentation and unit tests with pytest for all new endpoints
Built dynamic, responsive frontend interfaces using React JS, JavaScript, and Bootstrap, following UX best practices to improve usability across web and mobile viewports
Optimized PostgreSQL and MySQL database queries and data structures, reducing average query time through strategic indexing and schema redesign
Containerized applications with Docker and deployed on AWS EC2 behind Nginx, establishing repeatable deployment procedures that reduced environment-related bugs
Developed RESTful APIs with Django REST Framework and Flask, Built dynamic, responsive frontend interfaces, Optimized PostgreSQL and MySQL database queries, Containerized applications with Docker
Contributed to full-stack development projects using Python, Django, and JavaScript; wrote REST endpoints, built database-backed CRUD modules with PostgreSQL, and participated actively in code reviews and Agile ceremonies
Developed foundational skills in software revision control using Git and GitHub, following branching strategies and contributing to team workflows in a structured development environment
Contributed to full-stack development projects, Developed foundational skills in software revision control
Architected the backend for an educational platform serving 50,000+ users and 200K+ daily requests using a Kubernetes-orchestratedmicroservices architecture with distributed data management across PostgreSQL and Redis– Established team-wide automated testing standards using pytest with 85%+ coverage; built CI/CD pipelines with GitHub Actions that ran the fulltest suite on every pull request before any code reached staging
– Designed and built a patient-facing full-stack application for Bansal Hospitals — covering appointment booking, healthcare record access, andreal-time patient communication — using Django + DRF for the API layer and React Native for the mobile interface– Implemented event-driven notification pipelines with Celery and RabbitMQ for appointment reminders and care updates; deployed on AWS withDaphne for WebSocket support and Nginx for reverse proxying– Focused on UX best practices and responsive design across the React JS web frontend, with emphasis on accessibility, information clarity, andlow-friction patient workflows
– Built a comprehensive 14-module full-stack HRMS platform — covering Employee Self-Service, Attendance, Leave, Payroll, Performance, Training,Timesheet, Grievance, Onboarding, Loan, Travel, Document Management, Learning, and e-Separation — using React JS on the frontend andDjango + DRF on the backend– Designed a normalized PostgreSQL schema for complex HR relational data; used Celery and RabbitMQ as an event-driven messaging layer forpayroll processing, document alerts, and communication workflows across the organization– Deployed on GCP with Gunicorn + Nginx on Ubuntu Server; wrote unit and integration tests covering core payroll and attendance modules; ReactJS frontend shipped via Vercel with responsive layouts across all device sizes
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