Senior Data Scientist and AI/ML engineer with 10 years of experience building production-grade machine learning systems and large-scale data platforms. Proven ability to deliver measurable impact through NLP, LLM-powered applications, and real-time inference systems—improving performance, reducing latency, and driving business outcomes at scale. Experienced across end-to-end ML lifecycle and MLOps on AWS, including model evaluation, monitoring, drift detection, and performance optimization. Strong background in designing scalable pipelines, building NLP/RAG solutions, and engineering high-throughput data systems that reduce deployment time and processing costs.

Chris Topher

Senior Data Scientist and AI/ML engineer with 10 years of experience building production-grade machine learning systems and large-scale data platforms. Proven ability to deliver measurable impact through NLP, LLM-powered applications, and real-time inference systems—improving performance, reducing latency, and driving business outcomes at scale. Experienced across end-to-end ML lifecycle and MLOps on AWS, including model evaluation, monitoring, drift detection, and performance optimization. Strong background in designing scalable pipelines, building NLP/RAG solutions, and engineering high-throughput data systems that reduce deployment time and processing costs.

Available to hire

Senior Data Scientist and AI/ML engineer with 10 years of experience building production-grade machine learning systems and large-scale data platforms. Proven ability to deliver measurable impact through NLP, LLM-powered applications, and real-time inference systems—improving performance, reducing latency, and driving business outcomes at scale.

Experienced across end-to-end ML lifecycle and MLOps on AWS, including model evaluation, monitoring, drift detection, and performance optimization. Strong background in designing scalable pipelines, building NLP/RAG solutions, and engineering high-throughput data systems that reduce deployment time and processing costs.

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Work Experience

Senior Data Scientist / AI Engineer (Peer Consulting Resources Inc.) at Peer Consulting Resources Inc.
March 1, 2020 - Present
Architected end-to-end ML pipelines (ingestion → feature engineering → training → deployment), reducing model deployment time by ~45% and increasing release velocity. Built NLP systems (classification, entity extraction, semantic search) reducing manual processing workload by ~60% and improving accuracy by ~25%. Developed LLM-powered RAG applications using vector databases, improving knowledge retrieval precision by ~30% while maintaining sub-second latency. Designed MLOps pipelines on AWS (Docker, CI/CD, monitoring), increasing system reliability from ~93% to ~99%. Engineered high-throughput data pipelines processing millions of records daily, reducing data latency by ~40%. Implemented model evaluation and drift detection, reducing model degradation incidents by ~35%. Led cross-functional AI initiatives, accelerating delivery timelines by ~25% across teams. Optimized inference performance, reducing latency by ~30% and improving throughput under high load.
Data Scientist / Software Engineer at Meta
April 1, 2018 - February 1, 2020
Developed ML-driven ranking and personalization systems impacting millions of users daily, improving engagement metrics by ~15%. Built real-time feature pipelines supporting large-scale model training, reducing feature computation latency by ~35%.
Data Scientist / ML Engineer at Recode
November 1, 2016 - March 1, 2018
Built analytics dashboards tracking user engagement, improving data visibility for editorial teams by ~50%. Developed backend data services processing large-scale event data, improving reporting efficiency by ~30%.

Education

Bachelor of Science at University of Florida
January 1, 2012 - January 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Computers & Electronics