Jonathan Fernandes
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer Building & Shipping Production-ready GenAI & Large Language Model Solutions Since Before ChatGPT.
I help organisations identify relevant Generative AI use cases and implement them in production. I've been working with Language Models a couple of years before ChatGPT arrived on the scene (BERT, T5, GPT-3). In previous roles as a Data Scientist and Machine Learning/ Artificial Intelligence engineer I've led teams to create AI products that meet business objectives. I am a trusted advisor and have developed solutions for various verticals including banking, healthcare, energy, telecoms, and travel and transport. I've also taught over 400,000 people about Generative AI and regularly speak at company town halls or provide AI training at organisations. If you and your team need my help, get in touch. Outside of work I spend time with my fabulous family, try and swim in the sea every day, and am actively involved in my local evangelical church.
Chartered Institute of Management Accountants (CIMA)
Professional Qualification, Management Accounting
January 1, 2012 – January 1, 2015
National University of Singapore
Bachelor's degree, Computer Science
N/A – Present
University of Warwick - Warwick Business School
Master of Business Administration (M.B.A.), Business Administration and Management, General
N/A – Present
Cohere
AI Engineer
November 1, 2022 – October 1, 2023
SambaNova Systems
Principal Customer AI Engineer
June 1, 2021 – November 1, 2022
KPMG UK
Associate Director - Advanced Analytics
May 1, 2021 – June 1, 2021
jonfernandes
AI & ML Engineer
November 1, 2020 – Present
jonfernandes
Speaker at global AI Conferences and summits
November 1, 2020 – Present
jonfernandes
Fractional Head of AI
November 1, 2020 – Present
DXC Technology
Data Scientist and Machine Learning / Sales Engineer
June 1, 2018 – May 1, 2021
United Kingdom
Verizon Enterprise Solutions
Solution Architect
December 1, 2013 – June 1, 2018
UK
Verizon Enterprise Solutions
Solution Design Architect
April 1, 2010 – August 1, 2013
United Kingdom
2e2
Sales Engineer
October 1, 2006 – December 1, 2009
United Kingdom
Expand Networks (liquidated)
Sales Engineer
July 1, 2005 – October 1, 2006
Singapore · On-site
IBM
System Enginer
November 1, 2004 – July 1, 2005
Singapore
Singapore Airlines
Systems Engineer
October 1, 2001 – November 1, 2004
Singapore
Document classification and text extraction
October 1, 2024 – January 1, 2025
A UK insurance provider needed a reliable way to pull data from multiple document types. I developed a Microsoft Azure-based system that enhanced both accuracy (increase of +15% to over 99%) and scalability, ensuring a more efficient retrieval process. This allowed claims workers to spend less time correcting extracted data and more time on business-critical tasks.
Chat agent for travel company
July 1, 2024 – September 1, 2024
A European travel company struggled with high agent turnover, leading to inexperienced agents speaking with customers and spending considerable time looking up information during calls. As the AI engineer on the team, I helped create a RAG solution that retrieved relevant information from knowledge bases allowing them to respond more quickly to customer enquiries (information lookups when required during customer calls were reduced by 2+ minutes on average). The solution stack included a vector database, embedding models, LLMs, re-rankers and guard rails.
Article summaries for media firm
January 1, 2024 – March 1, 2024
A UK media outlet needed automated article summaries that aligned with their specific tone. I fine-tuned an LLM, ensuring the generated summaries matched their voice and were favoured 80% of the time over those from a non-tuned model.
Banking process automation using NLP
October 1, 2023 – December 1, 2023
A UK bank wanted to expedite low-risk client approvals by automating data retrieval. I implemented an automated document retrieval system that reduced manual review times by 10-15 minutes per case using NLP and a human-in-the-loop approach.
Predicting likelihood of water discoloration
May 1, 2021 – July 1, 2021
A UK water company was fined by regulators because of customer complaints after maintenance work. To help reduce fines, I created a machine learning model that would help predict if maintenance work was likely to lead to customer complaints based on historical data. The solution stack includes Python, scikit-learn and GIS software.
Computer Vision in retail store
March 1, 2021 – May 1, 2021
A retail company faced numerous liability claims due to in-store falls. I led a team to deploy a real-time computer vision model that detected fallen objects from live security cameras and triggered alerts for staff, preventing accidents.
Telecom data monetization
January 1, 2021 – March 1, 2021
A UK telecom operator wanted to monetize customer data through analytics-driven insights. Clients included companies that provide retail insights to investors e.g. footfall with demographic information at potential retail sites. I used an Apache Spark (PySpark) solution to retrieve and analyse the data allowing the business to create a new revenue stream hiring a New Business Director.
Predict unplanned healthcare demands
October 1, 2020 – January 1, 2021
A Clinical Commissioning Group (CCG) were looking to predict unplanned demand from patients with 5+ chronic conditions. Using wearable tech and physiological data, I developed a machine learning model for the CCG to predict unplanned healthcare demand. The solution used Python and scikit-learn ML libraries.
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
TOGAF 9
The Open Group
June 24, 2026 – Present
AI Workshop: Text-to-Image Generation
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio across multiple industries (finance, healthcare, retail, telecom, media) and experience in various organizational structures (start-up, large enterprise, consulting, fractional roles) indicates adaptability and a broad perspective. Their involvement in speaking and training suggests a collaborative and knowledge-sharing mindset. The blend of technical depth with business strategy (MBA, CIMA) suggests a well-rounded individual who can bridge technical and business teams, contributing positively to a goal-oriented and innovative culture. The focus on delivering tangible business outcomes in projects aligns with a results-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving abilities, a customer-centric approach, and the capacity to translate complex technical concepts into business value. Roles like 'Principal Customer AI Engineer' and 'Data Scientist and Machine Learning / Sales Engineer' suggest excellent communication and stakeholder management skills. The 'Fractional Head of AI' and 'Speaker at global AI Conferences' roles indicate leadership, strategic thinking, and a proactive approach to knowledge sharing and industry engagement. The MBA and CIMA qualifications suggest a strong business acumen, which is valuable for understanding project impact and aligning technical solutions with business objectives.