Hi, I'm Zayyan Ahmad
AI Engineer | Large Language Model Specialist | Generative AI Architect
Crafting Tomorrow's AI Solutions • Specialized in Transformer Architectures, Machine Learning Operations, and Enterprise AI Systems. Passionate about bringing cutting edge AI innovations to ambitious companies worldwide.
Why me?
As an AI Engineer with a Bachelor's degree in Artificial Intelligence from FAST-NUCES, where I've learned to blend deep academic knowledge with real world implementation skills. My path has taken me from groundbreaking machine learning experiments to enterprise grade AI solutions that tackle complex business problems. I'm excited to contribute my skills to the global AI transformation and help build the next generation of intelligent systems.
My AI Approach: I leverage AI tools strategically in my development process, with 65% of my coding being AI-assisted and 48% of architecture and design decisions enhanced by AI collaboration. This modern approach leverages me 5x development speed and demonstrates my ability to work efficiently with AI tools that are becoming standard in leading tech companies, while maintaining deep technical understanding and creative problem-solving skills that AI cannot replace.
Where Academic Rigor Meets Real World Impact: Throughout my studies, I've worked on extensive machine learning projects covering computer vision, natural language processing, and reinforcement learning, consistently achieving over 90% accuracy across different domains. I've gained deep experience in the entire ML workflow from data preparation to model deployment, working extensively with PyTorch, TensorFlow, and cutting edge AI frameworks. This solid foundation allows me to create research informed solutions that deliver real business value.
Large Language Models & Generative AI
Specialized in GPT, Claude, and custom transformer models with hands on experience in fine tuning, RAG systems, and production deployment at scale.
AI First Engineering
Creating AI native applications with modern frameworks, MLOps, model serving, and intelligent automation solutions.
Vector Databases & RAG
Experienced with Pinecone and Weaviate for semantic search, knowledge graphs, and retrieval augmented generation systems.
Cloud AI Infrastructure
Skilled in AWS SageMaker, GCP Vertex AI, and Azure ML platforms with experience in Kubernetes, Docker, and distributed AI training pipelines.
Core Skills
A well rounded skill set covering the complete AI development lifecycle, from research and model training to production deployment and user experience.
Large Language Models
Specialized in GPT, BERT, and T5 architectures with hands on experience in fine tuning, prompt engineering, and RAG systems. Skilled in deploying production ready LLM solutions at scale.
Generative AI & Computer Vision
Experienced with Stable Diffusion, DALL E, and CLIP models for image generation, style transfer, and multimodal AI systems. Focused on optimizing real time inference performance.
MLOps & Model Deployment
Proficient in Kubernetes, Docker, and MLflow for A/B testing, model versioning, and monitoring. Experienced with AutoML pipelines and feature stores.
Deep Learning Frameworks
Skilled in PyTorch, TensorFlow, and JAX with deep understanding of transformer architectures and attention mechanisms. Experienced in distributed training on GPU clusters.
AI Infrastructure & Cloud
Experienced with AWS SageMaker, GCP Vertex AI, and Azure ML platforms. Skilled in CUDA optimization, model quantization, and edge AI mobile deployment.
Vector Databases & RAG
Proficient in Pinecone, Weaviate, and Chroma for embedding models and semantic search. Experienced with knowledge graphs and retrieval systems.
Current Fav Stack
AI/ML Frameworks
Cloud & Infrastructure
Data & Vector DBs
MLOps & Deployment
Ready to Scale Your AI Vision?
Let's discuss how my expertise in cutting edge AI technologies can drive innovation at your company.
Certifications & Credentials
Professional certifications from leading institutions demonstrating expertise in cutting edge AI technologies and machine learning methodologies.
Generative AI with Large Language Models
Comprehensive course covering the fundamentals of generative AI and large language models, including architecture, training, and deployment strategies.
Machine Learning
Specialization covering machine learning fundamentals, neural networks, and deep learning techniques for real-world applications.
Gen AI Foundational Models for NLP & Language Understanding
Advanced course on foundational models for natural language processing, covering transformer architectures and language understanding.
Generative AI Engineering and Fine Tuning Transformers
Hands on course on engineering generative AI systems and fine tuning transformer models for specific use cases.
Generative AI Language Modeling with Transformers
Specialized course on language modeling techniques using transformer architectures and modern NLP approaches.
Generative AI Applications with RAG and LangChain
Project based course on building generative AI applications using Retrieval Augmented Generation (RAG) and LangChain framework.
Generative AI and LLMs: Architecture and Data Preparation
Comprehensive course covering LLM architectures, data preparation techniques, and implementation strategies for generative AI systems.
Research & Development
Academic research projects and machine learning experiments that demonstrate deep technical expertise and practical problem solving skills valued by leading tech companies.
Deep Learning Model for Image Classification
Developed and trained a convolutional neural network (CNN) using PyTorch for multi class image classification. Implemented data augmentation, transfer learning, and hyperparameter optimization techniques.
Performance: 95.2% accuracy on CIFAR-10 dataset
Impact: Demonstrated advanced CNN architecture optimization and transfer learning techniques
Natural Language Processing for Sentiment Analysis
Built a sentiment analysis system using BERT and LSTM models to classify text sentiment. Implemented preprocessing pipelines, model fine tuning, and performance evaluation metrics.
Performance: 92.8% F1-score on IMDB movie reviews
Impact: Showcased expertise in transformer models and text preprocessing
Machine Learning Pipeline for Predictive Analytics
Created an end to end ML pipeline for predicting student performance using various algorithms including Random Forest, SVM, and Neural Networks. Implemented feature engineering and model comparison.
Performance: 87.5% accuracy with Random Forest model
Impact: Demonstrated comprehensive ML workflow from data preprocessing to model deployment
Reinforcement Learning for Game AI
Implemented Q learning and Deep Q Network (DQN) algorithms to train an AI agent for playing classic games. Explored different reward structures and neural network architectures.
Performance: Achieved 85% win rate in CartPole environment
Impact: Proved understanding of RL algorithms and neural network optimization
Time Series Forecasting with LSTM Networks
Developed LSTM based models for stock price prediction and weather forecasting. Implemented sequence to sequence architectures and attention mechanisms for improved accuracy.
Performance: 12.3% MAPE on stock price prediction
Impact: Demonstrated advanced sequence modeling and financial data analysis
Computer Vision for Medical Image Analysis
Built a CNN model for medical image classification and segmentation. Implemented data augmentation, transfer learning, and evaluation metrics specific to medical imaging.
Performance: 91.7% accuracy on chest X-ray classification
Impact: Applied AI to healthcare domain with real-world medical imaging data
My Featured Projects
A collection of technical projects that showcase my skills in AI and machine learning, full stack development, and cloud infrastructure.
AI Powered Document Analysis System with RAG
Created a comprehensive document processing system using LangChain and OpenAI GPT 4, implementing RAG (Retrieval Augmented Generation) for intelligent document querying and analysis. Features vector embeddings, semantic search, and context aware responses.
Multi Modal AI Chatbot with WhatsApp Integration
Developed an intelligent chatbot capable of processing text, voice, images, and PDFs using RAG and n8n automation. Integrates with WhatsApp API for seamless user interaction and supports multiple data formats.
Intelligent Email Classification System
Created an AI powered email organization system using n8n and machine learning models. Automatically categorizes incoming Gmail messages, extracts key information, and routes emails based on content analysis.
MCP Server with Google Calendar Integration
Built a Model Context Protocol (MCP) server with custom functions for Google Calendar management. Enables AI agents to interact with calendar data through standardized protocols and custom function calls.
AI Powered Workflow Automation Platform
Developed an intelligent automation platform using n8n that can understand natural language instructions and create complex workflows. Features AI driven workflow optimization and intelligent error handling.
Real time Data Processing with AI Analytics
Created a scalable real time data processing platform with integrated AI analytics using Apache Kafka, Apache Spark, and machine learning models for predictive insights and anomaly detection.
Explore on GitHub
Interested in My Work?
I'm always excited to discuss new opportunities, collaborations, or interesting projects. Let's connect and explore how we can work together!
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Get in Touch
I'm always excited to discuss new opportunities, AI projects, or technology collaborations. Feel free to reach out through any of the channels below or use the contact form.
What I'm Looking For
- • AI/ML Engineering opportunities
- • Full stack development projects
- • Data engineering collaborations
- • Open source contributions
- • Technology consulting