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Schedule Interview NowMy name is Zain H. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, TensorFlow, Natural Language Processing, Generative AI, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: Zestya AI Assistant - Real-time Voice Chat Application, AI BookWriter – Intelligent Book Generation Platform, AI Clinical Visit Planner, RAG-Based Domain-Specific Q&A System, Real-Time Cyber Threat Detection Using Machine Learning, etc.. I am based in Chishtian, Pakistan. I've successfully completed 6 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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Developed Zestya AI Assistant, a real-time conversational AI agent designed specifically for a fitness coaching application. The system enables natural, voice-based interactions with users, providing
AI BookWriter is an advanced AI-driven platform developed using Python, OpenAI's large language models (LLMs), LangChain, and Django. It automates the end-to-end process of book creation by allowing u
I developed an AI Clinical Visit Planner web app that helps doctors efficiently manage daily patient visits. Using LLMs (via DSPy) and Google Maps Distance Matrix API, it prioritizes urgent patients w
Developed a domain-specific Q&A chatbot using Retrieval-Augmented Generation (RAG) by integrating OpenAI LLMs with a Vector Database (FAISS/Pinecone) and LangChain. The system enables accurate, real-t
Developed an intelligent NIDS using machine learning, achieving over 80% detection accuracy. Built real-time and batch data pipelines with Python, Spark, and Kafka, and deployed the solution on AWS. A
Bachelor of Science (BS) in Computer science
2019-01-01-2023-01-01