At PureLogics, I completed training in AI and machine learning, from fundamentals to agentic systems, and built ML pipelines for data cleaning, exploratory analysis, regression, classifier benchmarking, and customer segmentation.
I also built SentimentScope, an IMDB sentiment benchmark comparing classical machine learning, deep learning with TensorFlow and PyTorch, and pretrained transformers.
As a Machine Learning Intern at Internee.pk, I built and deployed six ML apps, including a Learning Path Recommender, a sentiment classifier, and a performance predictor with an R² of approximately 0.94. At Excelerate, I cleaned and structured datasets in PostgreSQL and built dashboards for stakeholder reporting.
My projects include AutoAnalyst, a five-node LangGraph research agent deployed with Docker, and a multi-agent content pipeline with persistent semantic memory. I’ve also built a multimodal Video RAG system and an IoT-based plant disease detection project using TensorFlow Lite.
