I am a Machine Learning Engineer passionate about solving complex problems with data-driven solutions. Skilled in Python, JavaScript, data science, and machine learning, I enjoy collaborating with teams to innovate and drive meaningful impact in dynamic tech environments. I have experience working on cutting-edge projects, including fine-tuning AI models and developing AI-powered tools that enhance operational efficiency. I thrive on continuous learning and applying the latest AI technologies to real-world challenges. My background in data science and software development allows me to build scalable, reliable ML solutions while contributing effectively in team settings. I'm excited to make a difference by leveraging AI and machine learning to solve complex problems across industries.

Ashhad Ahsan Rehman

I am a Machine Learning Engineer passionate about solving complex problems with data-driven solutions. Skilled in Python, JavaScript, data science, and machine learning, I enjoy collaborating with teams to innovate and drive meaningful impact in dynamic tech environments. I have experience working on cutting-edge projects, including fine-tuning AI models and developing AI-powered tools that enhance operational efficiency. I thrive on continuous learning and applying the latest AI technologies to real-world challenges. My background in data science and software development allows me to build scalable, reliable ML solutions while contributing effectively in team settings. I'm excited to make a difference by leveraging AI and machine learning to solve complex problems across industries.

Available to hire

I am a Machine Learning Engineer passionate about solving complex problems with data-driven solutions. Skilled in Python, JavaScript, data science, and machine learning, I enjoy collaborating with teams to innovate and drive meaningful impact in dynamic tech environments. I have experience working on cutting-edge projects, including fine-tuning AI models and developing AI-powered tools that enhance operational efficiency.

I thrive on continuous learning and applying the latest AI technologies to real-world challenges. My background in data science and software development allows me to build scalable, reliable ML solutions while contributing effectively in team settings. I’m excited to make a difference by leveraging AI and machine learning to solve complex problems across industries.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Machine Learning Research Assistant at FZI Forschungszentrum Informatik
July 1, 2024 - Present
Worked remotely in Germany since July 2024 to read and implement the latest developments in Machine Learning within a research-based environment focused on the anonymization of German vehicle number plates and persons. Fine-tuned the Meta Segment Anything Model (SAM) for German number plate recognition, improving detection accuracy from 75% to 95%. Curated and annotated a dataset of over 10,000 German number plates using manual annotation and data augmentation. Conducted multiple model training iterations to reduce false positives by 15% and enhance detection in varied lighting and weather conditions. Set up WANDB for monitoring experiments and fine-tuning the SAM model.
Machine Learning Specialist at GagaMuller Technology
April 30, 2024 - July 21, 2025
Worked remotely from Dublin, Ireland between February 2022 and April 2024 as the lead of the Machine Learning Team, developing AI solutions for clients and promoting AI adoption within the company. Fine-tuned ControlNet for Diffusion Models on CUDA GPUs, achieving a 25% faster image generation and 20% better output accuracy for interior design suggestions. Developed a vector database-powered RAG-based chat system, reducing query response time by 30%. Co-developed an advanced ML forecasting tool automating 80% of forecasting tasks with customizable dashboards. Designed a price optimization model for hotel bookings increasing quarterly revenue by 22%.
AI Software Engineer / Data Pilot at Data Pilot
January 31, 2022 - July 21, 2025
On-site in Lahore, Pakistan from April 2019 to January 2022, contributed to a diverse team to create state-of-the-art machine learning solutions. Developed and implemented AI and machine learning applications to resolve real-world challenges and boost operational efficiency. Deployed a sound classification algorithm using Meta Wave2Vec2 on Raspberry Pi, improving accuracy from 70% to 92%, facilitating proactive crime prevention in the USA. Used BERT for NLP tasks such as text generation, sentiment analysis, and entity recognition with high precision.
Machine Learning Research Assistant at FZI Forschungszentrum Informatik
July 1, 2024 - Present
The role includes reading and implementing the latest developments in Machine Learning in a research-based environment related to the anonymization of German Vehicle Number Plates and persons. Fine-tuned the Meta Segment Anything Model (SAM) for German number plate recognition, achieving a 20% increase in detection accuracy, improving from 75% to 95%. Curated and annotated a dataset of over 10,000 German number plates, applying manual annotation and data augmentation techniques to simulate diverse real-world conditions. Conducted multiple iterations of model training, resulting in a 15% reduction in false positives and enhancing detection under varying lighting and weather conditions. Setup WANDB to monitor the experiments and fine tune the SAM Model.
Machine Learning Specialist at GagaMuller Technology
April 30, 2024 - July 21, 2025
Led the Machine Learning Team to develop solutions for different clients and adoption of AI within the company. Fine-tuned ControlNet for the Diffusion Model on CUDA-enabled GPUs, achieving a 25% improvement in image generation speed and a 20% increase in output accuracy for high-quality interior design suggestions. Developed a vector database-powered RAG-based chat system for document interaction and graphical insights, resulting in a 30% reduction in query response time. Along with the Data Science Team, developed an advanced ML-based forecasting tool with a customizable dashboard and manual adjustment capabilities, automating 80% of forecasting tasks and empowering users with enhanced decision-making tools. Designed and implemented a price optimization model for hotel bookings, resulting in a 22% increase in quarterly revenue during the first year.
AI Software Engineer at Data Pilot
January 31, 2022 - July 21, 2025
Worked under diverse team to create state-of-the-art machine learning systems. Developed and implemented AI and machine learning solutions to address real-world challenges and improve operational efficiency. Deployed a sound classification algorithm using Meta Wave2Vec2 on Raspberry Pi, increasing accuracy from 70% to 92%, enabling proactive crime prevention across private properties in the USA. Leveraged BERT for natural language processing tasks, including text generation, sentiment analysis, and entity recognition with high precision.

Education

Masters at University of Koblenz
January 1, 2024 - December 31, 2026
Masters at University of Koblenz
January 1, 2024 - December 31, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Government, Transportation & Logistics, Travel & Hospitality, Computers & Electronics

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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