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Schedule Interview NowMy name is Muhammad Ahmad M. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Time Series Analysis, Python, NumPy, pandas, TensorFlow, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Time Series Analysis and Forecasting Using ARIMA Model, Image classification through Vision Transformer (ViT) model, Image-to-Image translation, Voice cloning through Neural network, Domain Specific AI ChatBot, etc.. I am based in Islamabad, Pakistan. I've successfully completed 7 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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I implemented a time series analysis and forecasting model using the ARIMA (AutoRegressive Integrated Moving Average) framework to analyze and predict Intel (INTC) stock prices. Data Retrieval: Fetch
I implemented a Vision Transformer (ViT) model for image classification on the CIFAR-10 dataset. The project involved: Preprocessing and preparing the CIFAR-10 dataset for ViT. Building and training
Implemented CycleGAN for face-to-sketch and sketch-to-face translation using the Person Face Sketches dataset. Delivered: Trained CycleGAN model. Save model Clean, documented Python code (PyTorch/Ten
This project clones a voice by extracting speaker embeddings from a reference audio and synthesizing speech in that voice using transcribed text from an input audio. It uses: Speaker Embedding: Extra
I have created a Tkinter chatbot that extracts text from uploaded PDFs, preprocesses it using NLTK, Langchain model and responds to user input using TF-IDF and cosine similarity. The GUI includes butt
Bachelor of Computer Science (BCompSc) in Computer science