Haseebuddin Mohammed

🧑‍💻 About Me – Mohammed Haseebuddin I’m a passionate and driven Computer Science undergraduate at Motilal Nehru National Institute of Technology, Allahabad, with a strong foundation in software development, machine learning, and intelligent agent systems. I enjoy building impactful applications that combine modern web technologies with AI and cloud capabilities. I believe in learning by building and continuously strive to turn ideas into working prototypes.

💻 Tech Skills Languages C, Python, Java, JavaScript

Libraries & Frameworks ML & DL: TensorFlow, scikit-learn, NumPy, Pandas, Keras

Web & APIs: Flask, FastAPI, ReactJS, LangChain, Bootstrap

LLMs & Agents: llmware, Google ADK

Cloud & Databases: MongoDB, MySQL, Google Cloud Platform (GCP)

Developer Tools VS Code, Git, Jupyter Notebook, Colab, Kaggle, Spyder

🔧 Planning to learn: Docker, Kubernetes, Next.js, AWS, Prompt Engineering for custom LLM fine-tuning

🚀 Projects I've Worked On 🔊 Environmental Sound Classification Built a CNN-based audio classification model with 99.67% accuracy using Mel spectrograms.

Deployed using Flask with a full-stack login system and history tracking.

Tools: Flask, TensorFlow, SQLAlchemy, librosa 🔗 GitHub | Colab Demo

📧 TEL-AGENT – Your Smart Email Reminder System An LLM-based Gmail assistant using Google Agent Development Kit + FastAPI + React.

Extracts and classifies emails, adds relevant deadlines to Google Calendar via smart automation.

Integrated Google OAuth 2.0 and built with a modular backend & responsive frontend. 🔗 GitHub

📜 Certifications ✅ Google Gen AI Study Jams – May 2024

🏆 SIH Internal Hackathon Winner – Sep 2024

🧠 Codeforces "Pupil" Rated – Aug 2024

🎯 Aspirations I aspire to become a full-stack AI Engineer specializing in:

LLM Applications: Building production-ready apps powered by foundation models.

Cloud-based ML Systems: Deploying scalable AI tools using cloud-native stacks.

Smart Assistants: Developing personal agent systems that automate knowledge tasks using APIs + vector search + LLMs.

I am currently deepening my skills in AI engineering, and plan to gain hands-on experience in cloud DevOps, multimodal models, and prompt + retrieval-augmented generation (RAG) systems.