🚀 Building intelligent solutions with Generative AI, LLMs, and Modern Web Technologies
I'm a Software Engineering student at NED University deeply passionate about Generative AI and Large Language Models. I specialize in building AI-powered MVPs and scalable web applications, combining cutting-edge AI technologies with robust full-stack development.
- 🤖 Specialized in Prompt Engineering, LLMs, RAG systems, and AI automation
- 💻 Experienced in MERN Stack, FastAPI, Python, and Azure AI Services
- 🏆 2x Hackathon Winner with AI-powered solutions
- 🌱 Continuously exploring AI/ML model training, fine-tuning, and deployment
- 🎯 Goal: Leverage AI to build impactful, production-ready applications
AI-powered solar grid management platform that predicts energy production, detects faults via image analysis, and identifies optimal panel placement using real-time weather data.
- Tech Stack: MERN, CNNs, Gradient Boost, Meteomatics API
- Impact: Optimized solar energy efficiency and predictive maintenance
AI-powered RAG application for breast cancer clinical trials with intelligent search and summarization.
- Tech Stack: Snowflake Cortex Search, Mistral-large2, RAG
- Impact: 70% faster data retrieval, 90% relevance accuracy
- 🏅 Microsoft Certified: Azure AI Fundamentals (AI-900) - May 2024
- 🏅 GitHub Foundations - Apr 2024
- 🏅 Supervised Machine Learning: Regression and Classification - Feb 2024
- 🏅 Microsoft Azure Fundamentals AZ-900 Exam Prep - Oct 2023
- 🤖 Building AI-powered assistants and automation workflows
- 🧠 Exploring advanced LLM techniques and RAG architectures
- ☁️ Deploying scalable AI solutions on Azure
- 📚 Contributing to open-source AI/ML projects
I'm always excited to collaborate on AI projects and discuss innovative ideas!
- 💼 LinkedIn: Kanza Muhammad Akram
- 📧 Email: kanzaakram321@gmail.com
- 💻 GitHub: @KanzaAkram
- 🏆 Devpost: My Hackathon Projects