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Gledis Kallco

@glediskallco

Message

I’m an AI Senior Engineer who turns research into deployable, high-performing machine learning systems.

Albania

Message

What I'm looking for

I’m looking for a team where I can lead AI research end-to-end—building reliable pipelines, deploying backend services, and improving real-world performance through rigorous evaluation and iteration.

I’m an AI Senior Engineer focused on pushing model performance with domain-specific post-training, reasoning optimization, and evaluation design. In my current role, I improved a frontier GenAI model on Olympiad-style math problems and created original Hard IMO-level math problems to expand training and post-training data.

I’ve also led end-to-end ML research and development for ECG arrhythmia detection, designing and deploying the full ML lifecycle app (data labeling, training, evaluation, and maintenance) while achieving “>97 percent sensitivity and speciﬁcity.” Earlier, I engineered YOLO type models for Maersk container load percentage and worker counts, and I’ve built web tooling for performance analysis and code review workflows through research and collaboration with MIT teams.

Experience

Work history, roles, and key accomplishments

Current

AI Senior Engineer

Current

Mercor

Oct 2025 - Present (8 months)

Improved a frontier GenAI model’s performance on Olympiad-style math problems using domain-specific post-training, evaluation design, and reasoning optimization. Created original Hard IMO-level math problems to augment the training dataset.

GenAI Model Training Evaluation Design Improve AI Reasoning Python Pandas AWS GCP

AI Lead Research Engineer

91.life

Sep 2022 - Oct 2025 (3 years 1 month)

Led end-to-end research and development of ECG arrhythmia detection models and pipeline, achieving over 97% sensitivity and specificity. Designed and deployed a full ML lifecycle app including data labeling, training, evaluation, and maintenance.

ML Lifecycle Data Labeling Model Training Model Evaluation Python AWS

Undergraduate Researcher

MIT CSAIL

Jun 2019 - Sep 2021 (2 years 3 months)

Worked with MIT and Facebook researchers to study software performance evolution patterns. Built large-scale performance analysis across mined repository revisions and developed a Python Flask web app to support code review workflows.

Program Analysis Performance Analysis Python Flask JSON Data Mining Pandas

Machine Learning Engineer

Ritech Solutions

Sep 2020 - May 2021 (8 months)

Engineered and trained YOLO-type computer vision models to estimate Maersk container load percentage and worker count, achieving over 91% sensitivity and specificity. Built and validated the end-to-end detection approach for the target use case.

YOLO Object Detection Computer Vision Model Training Model Evaluation Python AWS SQL