c
chzeeshan9

Zeeshan Ahmad

@chzeeshan9
4.9(7)

Python AI Engineer, GenAI, RAG, AI Agents and Automation

Pakistán
Inglés, Urdu, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
I’m an AI Engineer specializing in Agentic AI, RAG, LLM applications, AI automation, and full-stack AI product development. I build AI systems that go beyond simple chatbots—systems that can retrieve knowledge, use tools, call APIs, reason through multi-step tasks, and integrate directly into real applications. Some of my AI work includes multilingual voice-based agents, RAG applications, AI-powered examination systems, and QLoRA-based NLP projects. ... Lee más

Habilidades

c
chzeeshan9
Zeeshan Ahmad
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Diseño de flyers
I will design eyecatching flyer magazine or door hangers
4.9(6)
Automatizaciones y agentes
I will build an ai customer support agent using rag n8n automation
5.0(1)

Porfolio

Experiencia laboral

AI Agent Builder Intern

NeuralSeek • Tiempo parcial

Sep 2025 - Oct 20251 mo

• Completed a 6-week intensive on Agentic AI, mastering RAG, Semantic Scoring, and mAIstro workflow design. • Built foundational agents with strict governance (PII masking) and advanced logic (conditional branching/loops). • Engineered a Multi-Agent Health Advisor using 4 coordinated AI agents to autonomously analyze symptoms and generate diet/workout plans, demonstrating advanced orchestration capabilities.

Artificial Intelligence Intern

Alpha Network (SMC-Private) • Freelance

Jul 2025 - Aug 20251 mo

• Developed VistAI, an advanced visual search and recommendation system utilizing AI technologies. • Implemented CLIP-based image embeddings for visual search, enhancing product discovery. • Leveraged Deep Q-Learning for personalized recommendations, improving user engagement. • Designed a responsive web interface, ensuring seamless user interaction and experience.

AI/ML Intern

DevelopersHub Corporation • Tiempo parcial

Mar 2025 - Apr 20251 mo

• Developed a fake news detection system using ML classifiers, achieving 96% accuracy. • Created an NLP-based sentiment analysis model, classifying sentiments with 89% accuracy. • Designed a satellite image analysis system to monitor deforestation patterns, achieving 83% accuracy. • Implemented a credit risk analysis model with an ROC-AUC score of 86%, utilizing advanced feature engineering.

7 Reseñas
4.9

(7)
(0)
(0)
(0)
(0)
Desglose de calificaciones
  • Nivel de comunicación del Freelancer
    5
  • Calidad de la entrega
    5
  • Valor de la entrega
    5
1-5 de 7 reseñas
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