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Schedule Interview NowMy name is Ume H. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Python, Large Language Model, Machine Learning, Artificial Intelligence, Retrieval Augmented Generation, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: LLM-Powered Hotel Pricing System with Event Surge Detection, Immersive LLM-enabled Chatbot for Self-attachment Technique, WhatsApp Chatbot for Low-Literacy Users (Speech + Vision AI), AI Research Assistant for Historians (LLMs + RAG + OCRs + fine tuning). I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
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Artemis Intelligence
Developed a smart hotel pricing system that dynamically adjusts room rates based on upcoming local events. The solution ingests real-time event data from PredictHQ, computes demand surges using locati
Developed a therapeutic AI chatbot inspired by Dr. Abbas Edalat’s Self-Attachment Technique (SAT). The system guides users through inner-child healing using empathetic, Roman Urdu dialogue powered by
Built a GPT-4-based WhatsApp chatbot tailored for Pakistan’s 60M low-literacy adults. Integrated speech-to-text, text-to-speech, and image recognition modules into a modular pipeline optimized for low
Built an AI-powered research assistant for art historians to trace displaced artifacts using Large Language Models, Retrieval Augumented Generation pipelines, and Optical Character Recognition. Design
Bachelor of Science (BS) in Computer science
2021-01-01-2025-01-01