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Schedule Interview NowMy name is Usman S. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Machine Learning Model, Python, Machine Learning, Computer Vision, Deep Learning, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Quota Queen – AI Sales Roleplay Competitions Platform, GACAR.ai – Regulatory AI Search for Aviation, Fransis.ai – Conversational AI for HR & IT, Akquila – AI Candidate Evaluation Platform, AI-Powered Short Video Creation Platform, etc.. I am based in Richmond, United States. I've successfully completed 13 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Persivia Inc.
Built a GPT-powered sales rep training tool simulating live mock interviews with persona-based AI buyers. Designed rubric scoring, real-time analytics, and feedback dashboard. Delivered MVP in 6 weeks
Developed secure RAG-based compliance system for Saudi Civil Aviation Authority. Ingested 250K+ documents, built semantic search, memory management, and multi-tenant admin dashboards. Enabled 90% redu
Built internal/external AI assistant for Education and Healthcare firms in Nevada. Created contextual memory, SMS bot with custom rule engine, and dynamic recall logic. Reduced support tickets by 40%
Delivered Swiss HR SaaS MVP for resume-job matching. Built LLM-based match scoring engine, job role dashboard, and resume parser. Went live in under 6 weeks, cutting hiring workflow time by 65% and ac
Project Overview: This innovative platform offers users the ability to transform PDF documents or custom text inputs into engaging short videos, leveraging the capabilities of OpenAI, DALL-E 3, and El
Bachelor of Engineering (BEng) in
2012-01-01-2016-01-01