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imuhammadfurqan

Muhammad Furqan

@imuhammadfurqan

Generative AI Engineer

Pakistán
Inglés, Francés, Alemán, Urdu
Parte de la información aparece en idioma inglés.
Sobre mí
Hi! I’m Muhammad Furqan, an AI Engineer & Data Scientist with 5+ years of experience building real-world AI systems. I specialize in Machine Learning, NLP, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), helping startups and businesses turn ideas into scalable, production-ready solutions. I build AI chatbots, PDF-based RAG assistants, automation tools, and intelligent APIs using Python, FastAPI, Django REST Framework (DRF), and modern cloud tools. If you want clean code, clear communication, and AI that actually works, let’s build something impactful.... Lee más

Habilidades

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imuhammadfurqan
Muhammad Furqan
desconectado • 

Revisa mis servicios

Desarrollo de chatbots de IA
I will build ai chatbots and rag systems using langchain, langgraph
DeUSD 50 / proyectoMás información
API e integraciones
I will build scalable production ready fastapi and django drf apis
DeUSD 60 / proyectoMás información

Experiencia laboral

AI Engineer

Silicon Nexus • Tiempo completo

Sep 2024 - Present • 1 yr 8 mos

At Silicon Nexus, I designed and deployed AI-driven backend systems with a focus on Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent voice integrations. My work centered on transforming complex AI research into practical, scalable, production-ready solutions across education, knowledge discovery, media, and technical diagnostics. I led the development of ParadeDeck AI, an AI-native platform for military podcasts featuring automated content ingestion, Whisper-based transcription, semantic search, and RAG-powered conversational chat. I integrated ElevenLabs voice synthesis to enable natural AI-generated audio clips and interactive content exploration. I developed Aurelia, an AI assistant for crane and remote control diagnostics that interprets manuals and error codes to deliver instant, context-aware troubleshooting steps, reducing downtime and improving operational safety. I worked on Brain Assistant, a conversational AI system acting as a centralized intelligence layer. It enables natural conversations, task execution, and knowledge retrieval by combining LLM reasoning with backend tools and APIs. In the education domain, I built MathWiz, an AI-powered learning platform that generates adaptive math questions, quizzes, and flashcards with a badge and achievement system for gamified learning. I also developed Akademus AI, an educational assistant that allows users to chat with PDFs, generate quizzes, flashcards, and summaries with page-cited responses, transforming static study material into interactive AI support. Additionally, I created SalahGPT, an Islamic AI assistant using RAG with Quran and Hadith references to deliver accurate, context-aware responses. Across all projects, I focused on blending strong backend engineering with applied AI to build reliable and impactful real-world systems.

Data Scientist

Knowledge Streams • Tiempo parcial

Mar 2023 - Oct 2024 • 1 yr 7 mos

At Knowledge Streams, I worked as a Data Scientist, focusing on data analysis, machine learning, and predictive modeling. I handled data cleaning, preprocessing, and visualization to extract meaningful insights from structured datasets and support data-driven decision making. I built and evaluated machine learning models for prediction and classification tasks using Python, Pandas, NumPy, and Scikit-learn. I also worked on feature engineering, model evaluation, and performance tuning to improve accuracy and reliability. Throughout my time there, I collaborated on real-world data projects, automated data workflows, and applied statistical techniques to solve practical problems. This experience strengthened my ability to translate raw data into actionable insights and laid a solid foundation for building production-ready AI systems.