Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

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.…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.

Bahaji Dhaha Shareef

AI Engineer, Data Scientist, Developer, +2





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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Lead Data Scientist & ML Engineer at Complya

September 1, 2024 - August 6, 2025

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.

Machine Learning Research Engineer II at Bahaji Consulting

February 1, 2022 - August 6, 2025

Developed advanced NLP deep learning models improving customer satisfaction metrics. Built custom chatbots reducing human-agent workloads significantly. 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 improve content diversity and personalization.

Machine Learning Engineer at ESS

January 1, 2020 - August 6, 2025

Led the design and deployment of collaborative filtering and deep learning recommendation systems for e-commerce platforms. Built scalable NLP pipelines for classification and sentiment analysis using scikit-learn, NLTK, and TensorFlow. Designed deep learning recommendation engines integrating user-item embeddings and historical behavior features. Mentored junior engineers, reviewed code and models, and guided architecture design across ML use cases. Created robust data preprocessing and model training pipelines using Apache Spark and Airflow.

Lead Data Scientist & ML Engineer at Complya

September 1, 2024 - August 26, 2025

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.

Machine Learning Research Engineer II at Bahaji Consulting

February 1, 2022 - August 26, 2025

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.

Machine Learning Engineer at ESS

January 1, 2020 - August 26, 2025

Led the design and deployment of collaborative filtering and deep learning recommendation systems for e-commerce platforms. Built scalable NLP pipelines for classification and sentiment analysis using scikit-learn, NLTK, and TensorFlow. Designed deep learning recommendation engines integrating user-item embeddings and historical behavior features. Mentored junior engineers, reviewed code/models, and guided architecture design across ML use cases. Created robust data preprocessing and model training pipelines using Apache Spark and Airflow.