I'm Dr. Ubaid Mehmood, a Principal Data Scientist and ML Engineer with a PhD in NLP and Forecast Analysis. I have 7+ years of experience delivering AI-powered solutions, specializing in Generative AI, NLP, DL, and predictive analytics. I build and deploy LLMs, RAG systems, and intelligent chatbots to automate processes, uncover insights, and optimize business outcomes. I enjoy leading cross-functional teams, translating complex AI concepts into measurable results, and driving responsible, scalable innovation. I thrive on turning data into strategic value, solving real problems in FinTech, IoT, and enterprise operations, and mentoring others to adopt modern AI technologies.

Dr. Ubaid Mehmood

I'm Dr. Ubaid Mehmood, a Principal Data Scientist and ML Engineer with a PhD in NLP and Forecast Analysis. I have 7+ years of experience delivering AI-powered solutions, specializing in Generative AI, NLP, DL, and predictive analytics. I build and deploy LLMs, RAG systems, and intelligent chatbots to automate processes, uncover insights, and optimize business outcomes. I enjoy leading cross-functional teams, translating complex AI concepts into measurable results, and driving responsible, scalable innovation. I thrive on turning data into strategic value, solving real problems in FinTech, IoT, and enterprise operations, and mentoring others to adopt modern AI technologies.

Available to hire

I’m Dr. Ubaid Mehmood, a Principal Data Scientist and ML Engineer with a PhD in NLP and Forecast Analysis. I have 7+ years of experience delivering AI-powered solutions, specializing in Generative AI, NLP, DL, and predictive analytics. I build and deploy LLMs, RAG systems, and intelligent chatbots to automate processes, uncover insights, and optimize business outcomes.

I enjoy leading cross-functional teams, translating complex AI concepts into measurable results, and driving responsible, scalable innovation. I thrive on turning data into strategic value, solving real problems in FinTech, IoT, and enterprise operations, and mentoring others to adopt modern AI technologies.

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Language

English
Fluent

Work Experience

Principal Data Scientist at LinkCore
March 1, 2024 - April 1, 2025
Developed DL-based models to extract textual data from documents and convert into structured data; designed Bi-LSTM/CNN models to extract semantic context from unstructured invoice texts; addressed data imbalance with dropout, stratified sampling, cross-validation; improved fraud detection and reduced financial discrepancies.
Principal Data Scientist at City Facilities Management
June 1, 2022 - Present
Led deployment of Deep Learning and Large Language Models, including an Azure-powered invoice reading model that transformed PDFs into structured data; reduced accounts payable processing times by over 40% and delivered quarterly savings around $1.7M; built classification and anomaly-detection models, improved Capex classification, and reduced financial irregularities by ~20%; implemented AI-driven maintenance and warranty classification enhancements and created AI-powered chatbots to streamline service workflows.
Principal Data Scientist at MoodConnect
June 1, 2021 - February 1, 2024
Engineered NLP-based emotion recognition model for predictive analytics; achieved 19% lift in classification accuracy over baselines; mitigated data skew with back-translation and paraphrasing; defined technology strategy and risk mitigation with security emphasis.
Machine Learning Scientist at Bedrock AI (Hudson Labs)
February 1, 2022 - May 1, 2022
Conducted literature surveys focused on NLP; built robust data pipelines for extraction, cleaning, and preparation; developed NLP models for sentence classification and financial text summarization; identified red flags in market disclosures and enhanced governance through NLP-driven analysis.
Senior Data Scientist & Research Assistant at Swinburne University of Science & Technology
August 1, 2018 - May 1, 2022
Extracted social media data via web scraping to predict traffic; improved non-recurring congestion forecasting; designed NLP classifiers and deep learning models linking attendee data to forecasted traffic; developed IoT-enabled log counting and scaling solutions; earned the 2019 Smart Cities Award for urban transit innovations.
Project Engineer at BATCO, Telecom & IT Solutions
January 1, 2017 - October 1, 2017
Developed embedded software/hardware applications with C++ and RTOS; documented software systems and conducted hardware integration/test activities; led multi-disciplinary automation improvements reducing human-error disruptions by ~46%.
Research & Development Assistant at University of Hertfordshire
November 1, 2014 - July 1, 2015
Integrated smart systems for seamless data transfer; designed circuits and performed QA schematic/PCB work; managed BOM/BOQ and resource planning to support project execution.

Education

Doctor of Philosophy in Data Science (NLP & Forecast Analysis) at Swinburne University of Science & Technology
January 11, 2030 - January 1, 2024
Bachelor of Engineering in Electrical & Electronic Engineering at University of Hertfordshire
January 11, 2030 - January 4, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Education, Transportation & Logistics, Professional Services, Media & Entertainment