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I'm a Certified Machine Learning Engineer with 6+ years of experience, specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). I design and deploy scalable AI solutions like chatbots and predictive models that drive measurable business impact across industries. I enjoy turning complex data into actionable insights and building end-to-end MLOps pipelines on cloud platforms to enable teams to innovate efficiently. I'm passionate about collaboration, continuous learning, and delivering practical AI that enhances decision-making and operational excellence. I thrive in fast-paced environments, balancing technical excellence with clear communication to stakeholders.…I'm a Certified Machine Learning Engineer with 6+ years of experience, specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). I design and deploy scalable AI solutions like chatbots and predictive models that drive measurable business impact across industries. I enjoy turning complex data into actionable insights and building end-to-end MLOps pipelines on cloud platforms to enable teams to innovate efficiently. I'm passionate about collaboration, continuous learning, and delivering practical AI that enhances decision-making and operational excellence. I thrive in fast-paced environments, balancing technical excellence with clear communication to stakeholders.

Zohaib Shahid

Data Scientist, AI Engineer, AI Strategy Consultant, +6

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I'm a Certified Machine Learning Engineer with 6+ years of experience, specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). I design and deploy scalable AI solutions like chatbots and predictive models that drive measurable business impact across industries. I enjoy turning complex data into actionable insights and building end-to-end MLOps pipelines on cloud platforms to enable teams to innovate efficiently. I'm passionate about collaboration, continuous learning, and delivering practical AI that enhances decision-making and operational excellence. I thrive in fast-paced environments, balancing technical excellence with clear communication to stakeholders.…I'm a Certified Machine Learning Engineer with 6+ years of experience, specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). I design and deploy scalable AI solutions like chatbots and predictive models that drive measurable business impact across industries. I enjoy turning complex data into actionable insights and building end-to-end MLOps pipelines on cloud platforms to enable teams to innovate efficiently. I'm passionate about collaboration, continuous learning, and delivering practical AI that enhances decision-making and operational excellence. I thrive in fast-paced environments, balancing technical excellence with clear communication to stakeholders.

Available to hire

I’m a Certified Machine Learning Engineer with 6+ years of experience, specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). I design and deploy scalable AI solutions like chatbots and predictive models that drive measurable business impact across industries. I enjoy turning complex data into actionable insights and building end-to-end MLOps pipelines on cloud platforms to enable teams to innovate efficiently.

I’m passionate about collaboration, continuous learning, and delivering practical AI that enhances decision-making and operational excellence. I thrive in fast-paced environments, balancing technical excellence with clear communication to stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Senior Consultant Data Science at DataRopes.ai

June 1, 2022 - Present

Lead a team of data scientists and engineers to develop and deploy advanced Generative AI, Large Language Models (LLM), and Retrieval-Augmented Generation (RAG) solutions, driving innovation and measurable business impact for clients in the US and UK. Designed scalable AI solutions including Executive Insights Chatbot and Multi-Agent Customer Support Bot leveraging GPT-4, LangChain, LangGraph, and vector databases such as Pinecone and FAISS. Achieved operational improvements such as 50% reduction in query resolution times and saved 20+ hours per week for executive teams. Built memory-enabled persistent chatbots for real estate using LLaMA 3.2, LangSmith, and Azure Kubernetes Service with a 40% improvement in customer engagement. Implemented end-to-end MLOps pipelines for CI/CD and monitoring on Google Cloud Platform and Microsoft Azure to ensure scalability and cost-efficiency. Developed predictive models and deployed transformer-based architectures to enhance decision-making and opera

Consultant Data Science at Systems Limited

December 31, 2022 - July 22, 2025

Collaborated closely with clients to understand requirements, conducted Proof of Concepts (POCs), and developed production-ready machine learning pipelines using Python and GCP Vertex AI. Led a high-performing team of data scientists managing project delivery within tight timelines. Built advanced graph-based recommendation and churn prediction models with neural graph architectures to enhance customer engagement and retention. Deployed a hierarchical frequently-bought-together model from data of 4 million+ transactions on GCP Vertex AI that increased basket size by 8%. Developed comprehensive machine learning pipelines in logistics domain on GCP, including data ingestion from BigQuery, parallel time-series construction, and optimization model deployment.

Researcher at Otto von Guericke University, Magdeburg

June 30, 2020 - July 22, 2025

Managed a team of four to implement an events and dynamic topics detection pipeline on live Twitter data using NLP across multiple moving time windows. Integrated Twitter Live Tweets API for event extraction through named entity recognition and clustering of similar events. Filtered and identified bursting events to determine audience interest. Achieved an 85% accuracy in entity detection for event identification and 82% accuracy with Dynamic LDA for latent topic detection within events.

Senior Consultant Data Science at DataRopes.ai

June 1, 2022 - Present

Led a team of data scientists and engineers to develop and deploy advanced Generative AI, LLM, and RAG solutions for clients in the US and UK. Designed scalable AI solutions such as Executive Insights Chatbot and Multi-Agent Customer Support Bot using GPT-4, LangChain, LangGraph, and vector databases (Pinecone, FAISS), achieving operational improvements like 50% reduction in query resolution times and saving 20+ hours weekly for executives. Built memory-enabled chatbots for real estate using LLaMA 3.2, LangSmith, and Azure Kubernetes Service, improving customer engagement by 40%. Implemented MLOps pipelines on GCP and Azure for scalable, cost-efficient deployment and monitoring. Developed predictive models and transformer-based architectures to enhance decision-making and operational efficiency across industries.

Consultant Data Science at Systems Limited

December 31, 2022 - July 22, 2025

Collaborated closely with clients for requirement gathering, conducted POCs, and developed production-ready machine learning pipelines using Python and GCP Vertex AI. Led and managed a high-performing data science team, delivering projects within strict deadlines. Built advanced graph-based recommendation and churn prediction models utilizing neural graph-based architectures to boost customer retention. Developed hierarchical frequently bought together models based on 4M+ transactions on GCP Vertex AI, resulting in an 8% basket size increase. Delivered end-to-end ML pipelines for logistics including data ingestion from BigQuery, parallel time-series construction, and optimization model deployment on Vertex AI.

Researcher at Otto von Guericke University, Magdeburg

June 30, 2020 - July 22, 2025

Managed a team of four resources to implement an event and dynamic topics detection pipeline on live tweets using NLP and named entity recognition across moving time windows. Integrated Twitter Live Tweets API to extract and cluster live events. Filtered bursting events based on audience interest. Developed entity detection model achieving 85% accuracy and Dynamic LDA model with 82% accuracy for latent topic detection within events.

Consultant Data Science at Systems Limited

November 1, 2021 - December 31, 2022

Collaborated with clients to understand requirements, conducted Proof of Concepts (POCs), and delivered production-ready ML pipelines using Python and GCP Vertex AI. Led a high-performing team of data scientists and conducted in-depth research to build graph-based recommendation and churn prediction models. Deployed a hierarchical frequently bought together model using data from over 4 million transactions on Vertex AI, resulting in an 8% increase in basket size. Delivered ML pipelines in the logistics domain on Vertex AI with data ingestion from BigQuery and end-to-end deployment.

Education

MSc at Otto von Guericke University, Magdeburg, Germany

January 1, 2018 - December 31, 2021

Bachelor at University of Central Punjab

January 1, 2013 - December 31, 2017

MSc at Otto von Guericke University, Magdeburg, Germany

January 1, 2018 - December 31, 2021

Bachelor at University of Central Punjab

January 1, 2013 - December 31, 2017

MSc Data Science at Otto von Guericke University, Magdeburg

January 1, 2018 - December 31, 2021

Bachelors in Computer Science at University of Central Punjab

January 1, 2013 - December 31, 2017

MSc Data Science at Otto von Guericke University, Magdeburg

January 1, 2018 - January 1, 2021

Bachelors in Computer Science at University of Central Punjab

January 1, 2013 - January 1, 2017