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Schedule Interview NowMy name is Muhammad Saleem K. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Artificial Intelligence, Computing & Networking, Web Development, Large Language Model, etc.. I hold a degree in Master of Science (MS). Some of the notable projects I've worked on include: Solar Power Forecasting with LSTM and Comparative ML Models, Comprehensive Python, R, SQL, and JavaScript Curriculum Development, Natural Language Processing (NLP) and Machine Learning Specialist, LSTM model, Generated AI video with male Narrator. I am based in Islamabad, Pakistan. I've successfully completed 5 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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COMSATS University Islamabad
I developed a solar PV power forecasting solution using an LSTM model for multi-step ahead predictions. To enhance analysis, I implemented two additional machine learning models (e.g., Random Forest,
I developed 60 detailed courses for Python, R, SQL, and JavaScript, covering topics from beginner to advanced levels. Each course included structured lesson plans, full coding examples with comments,
Audio Transcription System: Developed an end-to-end audio transcription system for a car deals company, transcribing audio calls into text. Integrated machine learning models for question-answering on
To detect diseases in plants using Convolutional Neural Networks (CNNs) and generates treatment recommendations for the identified plant diseases using BERT or a similar language model
To create 190 to 200 AI generated videos to be loaded to youtube. tasks: 1. the scope of the content and prompts. 2. use of chatgpt to generate the content for each prompt. 3. use a video generating
Master of Science (MS) in Computer science
2008-01-01-2010-01-01