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Schedule Interview NowMy name is Muhammad Shahzad H. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning, Artificial Intelligence, Data Science, TensorFlow, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Voice-enabled AI Chatbot, Computer Vision with TensorFlow, AI Chatbot with MinIO, ETL pipeline acceleration with Azure Databricks, N8N Workflow: Automated Social Media Analytics Report, etc.. I am based in Houston, United States. I've successfully completed 6 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
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This is the architecture of a Voice-enabled AI Chatbot using Microsoft Azure Bot Framework and cognitive services. This is how it works. User speaks via Skype Client Bot Connector acts as a bridge b
This image is a computer vision object detection output Faster R-CNN model trained in TensorFlow. Training Data: Model trained on a dataset (like COCO) that includes classes such as person and kite.
Workflow diagram of an AI Chatbot workflow
Azure’s modern data architecture (with Azure Databricks) can accelerate ETL (Extract, Transform, Load) pipelines from 18 hours down to ~5 minutes.
Trigger (Run weekly) Data Collection Get Facebook analytics Get Twitter analytics Get LinkedIn analytics. Format Facebook metrics Format Twitter metrics Format LinkedIn metrics Combine the three fo
Bachelor of Computer Science (BCompSc) in
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