Shafqat

Team Lead - AI Engineer

Aug 2025 - Present • 9 mos

• Designed, developed, and deployed AI and RAG-based agents (e.g., appointment agents 92% accurate, formulary agents 98% accurate) using LLMs, n8n, LiveKit, ElevenLabs, and custom APIs to automate healthcare and enterprise workflows. • Optimized Llama 7B and OpenAI models by fine-tuning on custom datasets using LoRA and DeepSpeed, achieving a 40% performance improvement while enhancing resource efficiency and overall model effectiveness. • Led the development of the formulary agent and managed its deployment, ensuring smooth integration into existing workflows. • Ledthedesign and deployment of an appointment scheduling agent for a client handling over 60,000 appointments per month using LiveKit, significantly improving the efficiency and user experience of the scheduling process. • Led a small technical team, overseeing prompt engineering, agent development, agent monitoring, client coordination, and integration of APIs, ensuring seamless delivery and performance of AI-driven systems.

Jr. AI Engineer

Dec 2024 - Jul 2025 • 7 mos

• Explored and applied AI agent and prompt engineering techniques to enhance automation and intelligence in healthcare-related systems. • Contributed to the development of AI-driven medical solutions, gaining practical experience in machine learning, NLP, and clinical data analysis. • Developed an OCR-based system for extracting data from complex forms and automating the data entry process into the system, significantly improving efficiency. • Worked on a denial prediction project, where we decrypted the string 836 and extracted useful data for training machine learning models. Achieved above 90% accuracy using models like Decision Trees and Linear Regression.