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ammaratahir7

Ammara Tahir

@ammaratahir7

Python AI engineer, ML models, chatbots, data pipelines

Pakistan
Punjabi, Ourdou, Anglais, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
Hi, I'm Ammara, an AI/ML Engineer with 3+ years of experience building and deploying intelligent systems. I specialize in the full AI/ML lifecycle, from raw data to a production-ready model. What I offer: ✅ ML and Deep Learning (Scikit-learn, TensorFlow, PyTorch) ✅ NLP and LLM Apps (OpenAI, LangChain, Hugging Face) ✅ Computer Vision (detection, classification, OCR) ✅ Data Analysis (Pandas, NumPy, Matplotlib) ✅ Deployment and MLOps (FastAPI, Docker, AWS, GCP) I build solutions that work in the real world, with clean code and clear communication throughout. Lets build something great together.... Plus d’infos

Compétences

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ammaratahir7
Ammara Tahir
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Sites web IA & Logiciel
I will build a custom ai and ml solution in python
De100 $US / projetPlus de détails

Expérience professionnelle

HEX

AI/ML Engineer

HEX • Freelance

Feb 2026 - Present • 3 mos

Currently working as an AI/ML Engineer Intern at HEX Softwares, where I am responsible for developing and deploying AI-powered applications across the full model lifecycle. My work spans data collection and preparation, model training and evaluation, and production integration. I work with Python, TensorFlow, scikit-learn, and Flask to build intelligent systems that solve real-world business problems. I follow best practices in clean code, documentation, and version control using GitHub throughout every project.

Samsung

AI Research and Development Trainee

Samsung • Temps plein

Dec 2025 - Apr 2026 • 4 mos

Selected for Samsung globally recognized AI/ML training program as part of the second Pakistan cohort. Completed intensive coursework in Python, Big Data, Machine Learning, and Deep Learning. As the program capstone, I led development of HumSabaq AI, a unified three-chatbot educational platform built with Python, Flask, LangGraph, LLaMA 3.2, Faster-Whisper, and MongoDB Atlas. The platform includes a Document Intelligence bot supporting PDF, DOCX, and XLSX files with Q&A, quizzes, and flashcards. A SmartVoice agent pipeline handles noise reduction, speaker diarization, Whisper transcription, and LLM summarization with text-to-speech output. An AI Timetable Manager completes the suite, all accessible via a single unified launcher application.