Motivated and detail oriented Computer Science graduate with hands on experience in web development and AI driven backend systems. Proficient in Java, Python, FastAPI, and modern web technologies, with hands-on experienc…
Motivated and detail oriented Computer Science graduate with hands on experience in web development and AI driven backend systems. Proficient in Java, Python, FastAPI, and modern web technologies, with hands-on experience in AI agents, vector embeddings, and Retrieval Augmented Generation (RAG) using LangChain and LangGraph, along with conceptual familiarity with CrewAI and knowledge graph fundamentals. Experienced in building intelligent, scalable applications using embeddings and multi-agent workflows. Seeking an entry level Software Developer or AI Engineer role to apply technical skills in real world, production ready systems.
Built an end to end AI-driven document understanding pipeline to segment and extract structured entities from large scale scanned legal records (TIFF/PDF).
Designed dual workflows for unstapled historical books and pre-stapled documents, enabling scalable processing across heterogeneous archival datasets.
Solved legacy TIFF decoding failures by implementing a robust tiff file based normalization layer, enabling lossless CCITT Group 4 compression and reliable TIFF → PDF conversion.
Implemented Vision LLM based document boundary detection using Google Vertex AI (Gemini Vision) with overlapping batch windows to prevent document splits.
Engineered strict prompt templates and JSON schemas to extract legally critical entities such as instrument numbers, dates, grantors, and grantees with deterministic outputs.
Added absolute page-number stamping and reconciliation logic to merge overlapping LLM outputs and generate production-ready legal indexes.
Developed an AI driven troubleshooting system to analyze Azure Data Factory (ADF) errors and generate accurate, step by step resolution guidance.
Designed a multi agent architecture using the LangGraph framework, orchestrating Intent Detection, Diagnosis, Action Planning, Drafting, and Supervisor agents for end to end issue resolution.
Implemented Retrieval Augmented Generation (RAG) using FAISS and sentence-transformer embeddings to ground responses in internal knowledge bases and documentation.
Built LLM based intent classification and root-cause analysis to identify and resolve a wide range of Azure ADF issues including permissions errors, private endpoint misconfiguration, throttling, and request payload size limits.
Incorporated validated command and workflow execution logic to ensure reliable and consistent Azure troubleshooting outcomes.
Developed backend APIs using FastAPI and Python, delivering structured JSON responses suitable for scalable, production-grade customer support workflows.
Built an end to end AI-driven document understanding pipeline, Designed multi agent architecture using LangGraph framework, Implemented Retrieval Augmented Generation (RAG) using FAISS and sentence-transformer embeddings, Developed backend APIs using FastAPI and Python
Worked on full-stack development of web applications using Java, HTML, CSS, and AWS in an Agile environment.
Responsible for writing efficient code, fixing bugs, and optimizing performance.
Collaborated with team members to improve UI/UX and deployment strategies.
Worked on full-stack development of web applications, Responsible for writing efficient code, fixing bugs, and optimizing performance, Collaborated with team members to improve UI/UX and deployment strategies
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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