Lahore, Pakistan / 2026
I work across machine learning, computer vision, and voice AI to turn complex research into systems people can actually use.

Muzammil Nawaz Khan
AI engineer · NUST graduate
Explore my portfolio of AI and machine learning projects, showcasing cutting-edge solutions in computer vision, deep learning, and data science.

Production-grade, multi-strategy document summarization platform. Upload a PDF, DOCX, TXT, Markdown, HTML file or URL and get a structured summary streamed live, with automatic strategy routing (Stuff / Map-Reduce / Refine), PII scanning, and LLM-as-judge faithfulness scoring.

ReAct-style AI agent with tool calling, a visible live thinking panel, and real-time streaming. Built on a LangGraph state graph with persistent SQLite-backed memory, custom tools, and a Next.js chat frontend talking to a FastAPI + WebSocket backend.

A complete Retrieval-Augmented Generation pipeline built entirely from scratch — no LangChain, no vector database. Custom HNSW vector store, Okapi BM25 keyword index, hybrid retrieval with Reciprocal Rank Fusion, Self-RAG adaptive retrieval, and a dual-layer memory system, all in pure Python.

Production-ready RAG application built with FastAPI and LangChain, featuring hybrid search (HNSW vector search + BM25), a dual-layer memory system that summarizes past sessions, and a clean single-page UI for grounded, cited answers over your own documents.

Developing a real-time conversational AI agent using LiveKit, OpenAI, and ElevenLabs, integrating Silero VAD for seamless voice activity detection. Configured SIP Trunking with logic-based transfer functionality.

Engineered Python scripts to interface with Hikvision NVR systems for fetching raw logs, and designed logic filters to clean noisy camera data (duplicate records/non-attendance) for accurate HR tracking.

Developed ANN architecture for image classification of potential threats in luggage images with high accuracy in threat identification.

Created pipeline for license plate localization using edge detection and implemented robust plate isolation system.

Built system to recognize Braille characters through dot pattern analysis and distance metrics for character differentiation.

Implemented CNN models with and without pooling and dropout layers, demonstrating regularization techniques.

Designed segmentation system using Connected Component Labeling and achieved accurate results with IoU metrics.

Developed method for segmenting retinal structures using point and multi-level thresholding techniques.
CareCloud - Remote / On-site
RiseTech - Islamabad, Pakistan
A comprehensive overview of technical skills and expertise acquired through academic coursework and research projects
Industry-recognized certifications validating expertise in AI, Machine Learning, and Software Development
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Comprehensive certification covering Machine Learning, Deep Learning, Computer Vision, and AI deployment strategies.
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Professional certificate covering Generative AI fundamentals, LLMs, and AI engineering practices.
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In-depth training on deep learning frameworks including PyTorch, Keras, and TensorFlow for building neural networks.
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Specialized certification in Retrieval-Augmented Generation (RAG) and building agentic AI systems.
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Hands-on certification for building Generative AI applications and intelligent agents.
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Advanced engineering practices for working with Large Language Models in production environments.
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Operations and deployment strategies for Large Language Models including monitoring, scaling, and maintenance.
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Specialized training in implementing Retrieval-Augmented Generation for enhanced AI applications.
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Enterprise-level data strategy and architecture for implementing Generative AI solutions.
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Application of deep learning techniques for medical and clinical decision-making systems.
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Comprehensive training in modern C++ features including C++11, C++14, and C++17 standards.
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