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Schedule Interview NowMy name is Jahanzeb J. and I have over 9 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Python, PyTorch, TensorFlow, Machine Learning, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: Digital Karen – AI-Powered Order Tracking Assistant, Ecommerce AI – Conversational Commerce with Intent Detection, AI Security Code Review Platform, Mobility Index, Ethereum Transaction Anomaly Detection, etc.. I am based in Lahore, Pakistan. I've successfully completed 8 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.
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NaviGait (Ruyi) by Xavor
Built a multi-agent AI system to extract and track ecommerce order details from customer emails. Emails like order confirmations, shipping updates, and return notices were auto-classified and parsed f
Developed an AI-powered ecommerce chat platform that connects buyers and sellers through real-time conversations. Used LangGraph and OpenAI to analyze buyer intent, interests, and urgency, providing s
Developed an AI-powered tool for managing online communities within the crypto space. Tech Stack: Node.js, React.js for frontend, Python (Django) for backend, Natural Language Processing (NLP) librari
• Developed non-intrusive vision-based system that can provide clinically relevant information including mobility level and gait characteristics of an individual. • Utilized 3D computer vision along
• Developed an Anomaly Detection system for Cryptocurrencies to detect any faulty transaction. • Created data pipelines to consume the models and provide inference in Realtime, processing millions of
Bachelor of Science (BS) in Computer science
2015-01-01-2019-01-01