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Schedule Interview NowMy name is Aleem J. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Computer Vision, Deep Learning, Chatbot, Data Science, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Master of Computer Science (MSCS). Some of the notable projects I've worked on include: Facia.ai, SynAPP, OCR For the Bulgarian Language, Landing Page Generator, Hand-Sign-Detection, etc.. I am based in Lahore, Pakistan. I've successfully completed 11 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
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Machine Learning 1
Fastest biometric and facial recognition AI Solution that raised $1.5M (used in 200+ countries) (Semi-Finalist Supernova)
SnyAPP is an LLM-based medical messaging and question-answering chatbot
OCR extraction AI tools revolutionize how businesses manage sales receipts, using machine learning to convert images into structured data, reducing errors and saving time. These tools enhance accuracy
Leveraging cutting-edge Generative AI, our web development tools automate the creation of unique landing pages, overcoming the challenges of time-intensive manual design and limited creativity. With t
This project aimed to create a cutting-edge hand sign detection model for language-based gestures in videos, overcoming challenges in dataset curation and model development. The results were impressiv
Bachelor of Computer Science (BCompSc) in Computer science
2012-01-01-2016-01-01
Master of Computer Science (MSCS) in Data Science
2016-01-01-2018-01-01