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Kenneth Skertich

@kennethskertich

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Aspiring AI researcher with expertise in deep learning and NLP.

United States

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What I'm looking for

I seek a collaborative environment that fosters innovation and ethical AI development.

I am an aspiring AI researcher with a strong foundation in computer science, currently pursuing my BSc at the University of Birmingham. My academic journey has been marked by a commitment to excellence, as evidenced by my Dean's List recognition and a full scholarship during my studies at Rowan University. I have developed a keen interest in artificial intelligence, particularly in the realms of representation learning and natural language processing.

My recent thesis on deep forecasting black swans showcases my ability to engineer innovative solutions, where I successfully reduced prediction errors by 35% compared to state-of-the-art methods. Additionally, my project on scalable bias detection in black-box AI models highlights my dedication to ethical AI practices, revealing significant demographic biases and improving evaluation efficiency. I am passionate about leveraging my skills to contribute to impactful AI research and development.

Experience

Work history, roles, and key accomplishments

Deep Forecasting Black Swans

University of Birmingham

Apr 2025 - Present (4 months)

Engineered a novel deep learning system to forecast rare financial anomalies using an event generation architecture inspired by BERT, creating task-optimized natural language representations. Cut prediction error overall by 35% compared to SOTA and 27% on 5 biggest market disruptions.

Deep Learning BERT Natural Language Processing Pytorch Lightning W&B

Bias Hunter: Scalable Bias Detection

University of Birmingham

Feb 2025 - Present (6 months)

Developed an empirically grounded fairness evaluation method to reveal demographic bias in black-box models. Revealed up to 12x more bias cases than baselines across real-world datasets.

Black Box Models

SLAM Operator

Amazon Fulfilment Center

May 2020 - Present (5 years 3 months)

Promoted to 1 of 9 SLAM operators to finalize the manifestation of packages in the largest Amazon Warehouse in the US. Resolved high-priority shipping exceptions (weight mismatches, missing labels, hazmat flags), ensuring compliance and accuracy in a high-volume environment.

Package Manifestation Compliance High Accuracy