Bahaji Dhaha Shareef
I am an AI/ML engineer and data scientist with a strong track record of delivering scalable, real-world machine learning systems and cutting-edge Generative AI solutions.
About
I am an AI/ML engineer and data scientist with a strong track record of delivering scalable, real-world machine learning systems and cutting-edge Generative AI solutions. I have extensive experience building end-to-end pipelines for NLP, computer vision, and recommendation engines across cloud environments. I am skilled at leveraging large language models (LLMs), transformer architectures, and agentic workflows to solve complex business problems.
I am passionate about translating data into intelligence and mentoring teams to drive AI adoption at scale. My expertise includes creating domain-specific LLM applications, developing agentic AI solutions, and designing scalable event-driven ML pipelines, all while optimizing performance and cost in cloud platforms.
- 5 years' experience
- Joined August 2025
Industry experience
- Computers & Electronics
- Software & Internet
- Retail
- Transportation & Logistics
- Travel & Hospitality
- Professional Services
More experts in Minneapolis, United States
Work experience· 6 roles
Led the development of a travel recommendation engine using TensorFlow, LSTMs, and dynamic pricing models (XGBoost). Delivered Generative AI-powered assistants and domain-specific large language model applications using transformer-based architectures. Integrated an NLP chatbot and BERT-based sentiment analysis to boost engagement and reduce support response times. Developed and deployed agentic LLM solutions using GPT-4, RAG pipelines, and AWS Lambda APIs to automate customer service. Created prompt-tuned chatbots with LangChain and vector search to support user-specific queries across business verticals. Benchmarked open-source LLMs for internal tool migration and optimized fine-tuning costs with agentic AI systems and Generative AI. Designed scalable, event-driven ML pipelines using Kafka and PostgreSQL, processing millions of user interactions weekly.
Led the development of a travel recommendation engine using TensorFlow, LSTMs, and dynamic pricing models (XGBoost). Delivered Generative AI-powered assistants and domain-specific LLM applications using transformer-based architectures. Integrated NLP chatbot and BERT-based sentiment analysis to enhance engagement and reduce support response times. Developed and deployed agentic LLM solutions using GPT-4, RAG pipelines, and AWS Lambda APIs for customer service automation. Created prompt-tuned chatbots using LangChain and vector search (FAISS) to support user-specific queries across verticals. Benchmarked open-source LLMs like Mistral and LLaMA for internal tool migration and fine-tuning cost optimization with agentic AI systems and Generative AI. Designed scalable, event-driven ML pipelines with Kafka and PostgreSQL, processing millions of user interactions weekly.
Developed advanced NLP deep learning models to improve customer satisfaction metrics. Built custom chatbots that significantly reduced human-agent workloads. Designed computer vision systems for license plate and gesture recognition. Created custom NER systems for accurate and fast data extraction. Implemented reinforcement learning and graph-based recommendation algorithms to increase diversity and accuracy. Applied RL and graph-based recommendation models to personalize and diversify content delivery.
Education
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