c
chzeeshan9

Zeeshan Ahmad

@chzeeshan9
4,9(7)

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

Pakistan
Anglais, Ourdou, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
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. ... Plus d’infos

Compétences

c
chzeeshan9
Zeeshan Ahmad
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Flyer
I will design eyecatching flyer magazine or door hangers
4,9(6)
Automatisations et agents
I will build an ai customer support agent using rag n8n automation
5,0(1)

Portfolio

Expérience professionnelle

AI Agent Builder Intern

NeuralSeek • Temps partiel

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 • Temps partiel

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 Avis
4,9

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Détails de la notation
  • Niveau de communication avec le freelance
    5
  • Qualité de la livraison
    5
  • Valeur de la livraison
    5
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    Title: Exceptional Guidance and Support from Zeeshan Ahmad! ⭐️⭐️⭐️⭐️⭐️ I recently had the pleasure of working with Zeeshan Ahmad while learning and building my project, and I cannot recommend him highly enough! From the very beginning, Zeeshan was incredibly supportive and knowledgeable, making the...

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