c
chzeeshan9

Zeeshan Ahmad

@chzeeshan9
4,9(7)

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

Paquistão
Inglês, Urdu, Hindi
Algumas informações são exibidas no idioma inglês.
Sobre mim
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. ... Saiba mais

Habilidades

c
chzeeshan9
Zeeshan Ahmad
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Design de Flyers
I will design eyecatching flyer magazine or door hangers
4,9(6)
Automações e Agentes
I will build an ai customer support agent using rag n8n automation
5,0(1)

Portfólio

Experiência profissional

AI Agent Builder Intern

NeuralSeek • Meio período

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 • Meio período

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 Avaliações
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Classificação detalhada
  • Nível de comunicação do freelancer
    5
  • Qualidade da entrega
    5
  • Valor da entrega
    5
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