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Schedule Interview NowMy name is Arham K. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Machine Learning, AI App Development, Computer Vision, Deep Learning, Chatbot Development, etc.. I hold a degree in High school degree, Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Real-Time Object Detection System Using YOLOv11, IDA Classification Using Machine Learning & Explainable AI, Diabetes Mellitus Chatbot Using RAG, Gemini API & Streamlit, Jarvis Voice & Task Autonomous AI Agent, AI Brain Tumor Segmentation & Classification, etc.. I am based in Hyderabad, Pakistan. I've successfully completed 25 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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Kalsoft
Developed a real-time object detection system using YOLOv11 for applications in surveillance, automation, and smart monitoring. Supports multiple object classes, high-speed inference, and integration
Developed an AI-based system to classify iron deficiency anemia using machine learning models. Integrated Explainable AI techniques (LIME & SHAP) to highlight feature importance for clinicians. Suppor
Developed an LLM-powered chatbot for diabetes guidance using RAG pipelines and Gemini API, deployed on Streamlit. Users can query health guidelines and receive context-aware, medically accurate respon
Developed Jarvis, an autonomous AI agent capable of voice interaction, task automation, and multi-service integration. Built with speech recognition, NLP, and AI workflow orchestration, providing an i
Developed an AI-based brain tumor segmentation & classification system using U-Net and CNN models for MRI images. Integrated Explainable AI (XAI) to highlight key diagnostic regions. Fully deployable
High school degree in Mathematics
2019-01-01-2021-01-01
Bachelor of Computer Science (BCompSc) in Computer science
2021-01-01-2026-01-01