Gurpreet Bisla
@gurpreetbisla
AI/ML engineer specializing in scalable production ML systems and NLP.
What I'm looking for
I am an AI/ML engineer with 5+ years of experience building scalable machine learning systems, NLP pipelines, and cloud-based production solutions across fintech and large-scale social platforms.
I have delivered fraud detection, risk scoring, recommendation systems, and LLM-driven text understanding at Stripe and Meta, improving precision, reducing false positives, and raising user engagement.
My hands-on technical expertise includes PyTorch, Transformers, Python-based microservices, distributed training, and deploying real-time inference with Docker and AWS. I focus on robust CI/CD, monitoring for model drift, and optimizing pipelines for millions of daily transactions.
I am results-driven, collaborative, and committed to deploying reliable, low-latency ML services that scale in high-traffic environments and produce measurable business impact.
Experience
Work history, roles, and key accomplishments
Developed ML models for fraud detection, risk scoring, and transaction anomaly detection that improved precision and reduced false positives; deployed low-latency inference services and optimized data pipelines handling millions of daily transactions.
Machine Learning Engineer
Meta
Sep 2020 - Aug 2023 (2 years 11 months)
Engineered deep-learning recommendation and NLP models (RNN/CNN/Transformer) to improve content relevance and user engagement, and deployed scalable inference pipelines using internal orchestration for high-traffic surfaces.
Education
Degrees, certifications, and relevant coursework
Rowan University
Bachelor of Science, Computer Science
Bachelor of Science focused on foundational coursework supporting AI/ML engineering and data processing skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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