Mujtaba Mohimtulay

Developed custom GPT models and RAG chatbot applications to improve recruitment and candidate evaluation. Designed multi-agent AI frameworks optimizing chatbot decision-making with OpenAI models. Engineered conversational AI integrating TTS and STT for real-time task-oriented conversations. Automated document processing using OCR and vision language models, increasing accuracy. Created Proof-of-Concept documents for AI/ML projects, demonstrating feasibility and technical strategies. Developed a conversation generator synthesizing multiple voices to enhance AI narration and dynamic content.

Developed a custom GPT model for Talent Acquisition to streamline CV parsing and candidate evaluation, improving recruitment efficiency. Built RAG models and chatbots using NVIDIA NIM, OpenAI GPT-4o, FAISS vector store, enhancing contextual retrieval and conversational AI. Designed a multi-agent AI framework optimizing information retrieval and decision making. Engineered conversational AI bots integrating TTS and STT models for real-time task-oriented conversations. Automated inference from digital and handwritten images with OCR and vision language models, increasing document processing accuracy. Created POC documents for AI/ML projects and developed a conversation generator synthesizing multiple voices for AI-driven narration and dynamic content generation.

Contributed as Full-Stack developer delivering three robust applications including a CRM system, gamification tool, and sales pipelining system using Python - Django and Flutter. Engineered RESTful APIs to automate KPIs for sales tracking and employee performance, improving real-time reporting efficiency. Led an agile team of 8 interns as SCRUM Master, facilitating daily standups and ensuring project milestones were met on schedule, enhancing project transparency and communication.