نبذة عني
Software Engineer with 3+ years of experience building production-grade web applications and AI-driven solutions using Python, Django, FastAPI, and modern AI/LLM technologies. Hands-on experience with Generative AI, RAG,…
Software Engineer with 3+ years of experience building production-grade web applications and AI-driven solutions using Python, Django, FastAPI, and modern AI/LLM technologies. Hands-on experience with Generative AI, RAG, prompt engineering, LangChain, LangGraph, CrewAI, LLM integrations, tool calling, workflow automation, and AI agent development. Experienced in designing backend architectures, REST APIs, asynchronous workflows, database schemas, and scalable cloud-based applications using AWS, Docker, PostgreSQL, Redis, and CI/CD. I have worked on AI-powered products involving document intelligence, semantic and vector search, automated content generation, recruitment automation, and intelligent workflows. Strong experience integrating LLMs with existing applications and APIs, implementing structured outputs, context-aware workflows, and reliable AI pipelines. I have taken multiple projects from requirements gathering and architecture through development, testing, deployment, and continuous improvement. I also have full-stack experience with React, Next.js, JavaScript, and modern frontend technologies. Currently focused on building reliable, scalable, and practical agentic AI systems that connect LLMs with business workflows, enterprise APIs, and real-world applications.
الخبرة
Sr, Software Engineer
<p>Architected and deployed Django/Flask/FastAPI solutions, utilizing Celery, SQS, and Lambda for task orchestration and complex API development.</p><p> Integrated LLMs and applied advanced prompt engineering for video-based behavior analysis, document parsing, and resume reformatting.</p><p> Implemented RAG pipelines for personalized chatbots and semantic search.</p><p> Streamlined deployment cycles using Docker and CI/CD on AWS infrastructure.</p><p> Managed third-party integrations including Stripe and Clerk.</p><p> Delivered rapid AI POCs to validate new business capabilities.</p>
Python Developer
<p>Architected and deployed Django/Flask/FastAPI solutions, utilizing Celery, SQS, and Lambda for task orchestration and complex API development.</p><p> Integrated LLMs and applied advanced prompt engineering for video-based behavior analysis, document parsing, and resume reformatting.</p><p> Implemented RAG pipelines for personalized chatbots and semantic search.</p><p> Streamlined deployment cycles using Docker and CI/CD on AWS infrastructure.</p><p> Managed third-party integrations including Stripe and Clerk.</p><p> Delivered rapid AI POCs to validate new business capabilities.</p>
المشاريع
AI-Powered Personalized Dog Training Platform
<p>Architected a scalable Django platform leveraging AWS SQS and S3 for asynchronous processing, integrating Stripe for tiered subscriptions and Clerk for secure, multi-profile authentication. • Integrated Gemini 2.0 Flash (Multimodal) to analyze uploaded dog videos for breed detection and behavioral issues, dynamically generating personalized training courses by mapping AI insights to a tagged video library. • Implemented a RAG-based chatbot using Gemini to resolve user queries via a knowledge base, track training progress, and intelligently recommend new courses or video interventions for specific behavioral issues</p>