For further experience and professional updates, visit my LinkedIn profile:

• Name: Tanveer Haider Jafri
• Email: 📧 tanveerj5@gmail.com
• LinkedIn: 🔗 Connect with me on LinkedIn

Proficient in developing machine learning models using Python, with experience in:

• Libraries: Scikit-Learn, Pandas, NumPy, TensorFlow, Keras, OpenCV
• Skills: Data preprocessing, model selection, evaluation, and dimensionality reduction
• Current Focus: Large language models (LLMs) such as Stable Diffusion for image generation and LLaMA and DeepSeek for text generation. Experienced in fine-tuning LLMs with personal datasets and deploying them on Proxmox for server-side handling.

• Experienced in web scraping using Python’s Beautiful Soup library for data harvesting, preprocessing, and analysis.

• Strong foundation in Pre-Algebra, Intermediate Algebra, Pre-Calculus, Calculus-1, Statistics, and Linear Algebra.

• Expertise in deploying scalable applications using Proxmox, Kubernetes, and Docker.
• Skilled in load balancing with client-server architecture, automated backups using Cron on Linux, and configuring Rancher for Kubernetes GUI.
• Proficient in managing LEMP/LAMP stacks via Linux CLI and IIS on Windows.

• Proficient in full-stack development with expertise in PHP, Node.js, Flask (Python), Socket, and WebRTC.
• Experienced in developing APIs, server-side applications, real-time applications, and peer-to-peer serverless architectures.
• Skilled in building Windows applications using C# (WPF, WinForms .NET) and native Android applications with Java, as well as cross-platform development with Flutter and Dart.

• Developed e-commerce solutions using Verge3D and WooCommerce.
• Strong understanding of data structures, databases, horizontal scaling, cloud infrastructure, and automation for high-performance systems.

• Churn Prediction – ANN model for customer retention 📉
• Dog vs. Cat Classification – CNN-based image recognition 🐶🐱
• Chat Summary Model – NLP-based text summarization 📝

• Doom AI Agent with Reinforcement Learning Using CNN: Developed an AI agent to play Doom using Reinforcement Learning (RL) with Proximal Policy Optimization (PPO), leveraging Convolutional Neural Networks (CNNs) for vision-based decision-making.

• Gesture-Based Volume Control Using OpenCV & Pycaw: Created a gesture-controlled volume adjustment system using OpenCV, MediaPipe, and Pycaw, enabling users to control system audio levels by adjusting the distance between their thumb and index finger.

• Email: 📧 tanveer@example.com
• LinkedIn: linkedin.com/in/tanveerj5
• Twitter: @tanveerj5

Feel free to explore my repositories and reach out if you have any questions or collaboration ideas!

Thanks for visiting my profile! 😊

Aspiring Machine Learning & Quantum AI Researcher with a strong foundation in advanced mathematics and computational techniques. Currently focused on:

• Discrete Mathematics: Graph theory, combinatorics, Boolean algebra, and logic for AI algorithms.
• Calculus-2 & Calculus-3: Multivariable calculus, vector calculus, and optimization for deep learning.
• Tensor Calculus: Mathematical framework for deep learning and quantum mechanics.
• Topology: Understanding high-dimensional spaces, manifolds, and topological data analysis.

• Stanford University's Machine Learning course by Anand Avati to build a strong theoretical and applied ML foundation.
• Focus: Neural networks, deep learning architectures, and mathematical optimization for AI.

• Preparation: Integrating tensor calculus, topology, and quantum mechanics.
• Research: Quantum Machine Learning (QML) to develop next-generation AI models.
• Roadmap: Aligns with cutting-edge AI research, advanced optimization techniques, and theoretical ML, paving the way for AI innovation and Quantum AI applications.