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Amen Munir

@amenmunir

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AI/ML and backend developer building scalable, clean full-stack apps with RAG pipelines and deep learning models.

Pakistan

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What I'm looking for

I’m looking for a role where I build AI-powered products end-to-end—clean backend services, RAG/ML pipelines, and reliable web automation—while iterating fast, learning deeply, and shipping scalable features.

I’m an AI/ML & backend developer who builds end-to-end products that are both intelligent and scalable. I focus on clean, well-structured code while integrating practical AI pipelines into working applications.

Recently, as an AI App Developer Intern at MexemAI Technologies, I engineered an end-to-end AI chatbot (Django + React) with a RAG pipeline using LangChain and vector embeddings with GPT-based responses for document-specific queries. I also optimized YOLOv8 models for edge deployment by converting PyTorch → ONNX → TensorFlow Lite, and I conducted LLM fine-tuning with parameter-efficient methods.

Through roles like Machine Learning Fellow (ACM UET LHR) and Front-end Fellowship Trainee, I’ve strengthened my ML workflow (EDA → deployment) using Scikit-learn and Pandas, and I’ve delivered responsive UIs with React and Bootstrap. My projects—AikApply admission automation with LangChain + OpenAI and Selenium automation, an AI-powered document chatbot, and a Quranic Tajweed evaluation system—reflect my drive to turn AI into useful, reliable automation for real-world users.

Experience

Work history, roles, and key accomplishments

AI App Developer Intern

MexemAI Technologies

Jun 2025 - Sep 2025 (3 months)

Engineered an end-to-end AI chatbot using Django and React with a RAG pipeline powered by LangChain, vector embeddings, and GPT-based document-specific responses. Optimized YOLOv8 for edge deployment by converting PyTorch to ONNX and TensorFlow Lite, and prototyped a Quran recitation scorer using wav2vec and CNNs.

Django React Lang Chain RAG OpenAI API YOLOv8 Onnx Tensorflow Lite Wav2Vec

Machine Learning Fellow

ACM UET LHR

Jun 2024 - Aug 2024 (2 months)

Built and evaluated end-to-end ML pipelines (EDA to deployment), implementing algorithms with feature engineering and hyperparameter tuning. Used Scikit-learn and Pandas to drive experimentation and model evaluation.

Machine Learning EDA Feature Engineering Hyperparameter Tuning scikit learn Pandas Model Evaluation Data Analysis

Front-end Fellowship Trainee

ACM UET LHR

Aug 2023 - Sep 2023 (1 month)

Developed responsive user interfaces using HTML5, CSS3, JavaScript, React, and Bootstrap. Delivered UI-focused sprints aligned with industry-standard UI/UX principles.