Mohsin Saleem

Generative AI Engineer

Self Level • Período integral

Dec 2024 - Present • 1 yr 7 mos

At EMRChains, I work on building AI-powered healthcare solutions using Generative AI and Large Language Models (LLMs). My role focuses on developing real-time systems such as chatbots, voice assistants, and AI calling agents that improve patient interaction and automate hospital workflows. I have developed scalable solutions including appointment booking voice agents integrated with Twilio, RAG-based medical knowledge systems, and doctor–patient audio transcription platforms. These systems help automate scheduling, generate clinical summaries, and enhance communication between patients and healthcare providers. I work extensively with Python, FastAPI, and modern AI tools like LangChain and LangGraph, and deploy production-ready applications on Google Cloud Platform (GCP) using Docker and automation tools. My focus is on building reliable, efficient, and real-world AI systems that create meaningful impact in the healthcare sector.

AI Engineer

Self Employed • Período integral

Sep 2024 - Dec 2024 • 3 mos

At Alright Tech, I worked on developing advanced Generative AI and LLM-based solutions, focusing on building intelligent chatbots and automation agents for real-world business use cases. My role involved fine-tuning transformer models and designing agent-based systems to improve customer support and streamline internal workflows. I built and optimized conversational AI systems using prompt engineering, model evaluation, and iterative improvements to ensure accurate and context-aware responses. I also worked on integrating AI solutions into existing systems, helping businesses automate repetitive tasks and enhance operational efficiency. My work primarily involved Python-based development along with modern AI tools and frameworks, with a strong focus on delivering reliable, scalable, and production-ready solutions.

AI Machine Learning Intern

Self • Período integral

Oct 2022 - Feb 2023 • 4 mos

At NCAI, NUST, I worked as an AI/ML Engineer where I gained hands-on experience in machine learning and deep learning, focusing on building intelligent systems for real-world applications. My role involved working with data, training models, and experimenting with different algorithms to improve performance and accuracy. I developed and tested machine learning models, explored data preprocessing techniques, and contributed to research-driven projects in the AI domain. This experience helped me build a strong foundation in AI/ML concepts, problem-solving, and model development. I primarily worked with Python along with frameworks like TensorFlow and PyTorch, and collaborated with teams to deliver practical AI solutions while continuously learning and improving my technical skills.