k
karim_ahmed16

Kareem

@karim_ahmed16

AI Automation Engineer

Ägypten
Englisch, Arabisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Stop manual busywork. Start scaling with production-ready AI and Automation. I design and ship robust systems that eliminate repetitive tasks, reduce human error, and allow teams to handle 10x scale without breaking existing workflows. With a 100% Job Success Score and Top Rated status, I specialize in bridging the gap between cutting-edge AI research and practical, high-performance business applications. ... Mehr lesen

Kompetenzen

k
karim_ahmed16
Kareem
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Automatisierungen und Agenten
I will create ai agents and automations using n8n or make or zapier
KI-Websites & -Software
I will build ai website, and custom websites as a full stack developer

Portfolio

Arbeitserfahrung

Upwork

Upwork

Freiberufler • 7 mos

Full Stack Engineer

Oct 2025 - Jan 20263 mos

Designed and built a full multi-tenant Applicant Tracking System backend using Django, Celery, and PostgreSQL Developed a fully-featured REST API using Django REST Framework, covering authentication, user/role management, jobs, applications, notes, tasks, and dashboards. Implemented automated parsing, skill extraction, AI scoring (0–100), explainability outputs, and automatic stage progression using OpenAI models and embeddings. Developed natural-language search using vector embeddings + ChromaDB, with real-time WebSocket search and conversational query support. Integrated Retell AI to run 24/7 automated phone interviews, with transcription, recording, sentiment analysis, and custom question workflows. Added JWT + API key authentication, encrypted storage, signed URLs, audit logging, GDPR-ready data handling, and EEOC-compliant scoring.

Back End Developer

May 2025 - Sep 20254 mos

Integrated real-time Speech-to-Text (STT) modules for accurate pronunciation detection and speech pattern analysis. Built Text-to-Speech (TTS) pipelines to generate natural, child-friendly audio feedback. Deployed the full system on custom on premise servers (no external APIs), ensuring privacy and high performance. Implemented workflow orchestration and task queues to optimize throughput for multiple AI models (ASR, TTS, and LLM). Handled three major real-time AI tasks: live translation, grammar correction, and a voice conversational agent running locally.