Profile

About Me

I am a passionate AI researcher and engineer dedicated to pushing the boundaries of machine learning and artificial intelligence. With 5+ years of experience, I specialize in computer vision, NLP, and deploying ML models at scale.

San Francisco, CA
contact@mentatindustries.com

Experience

Professional journey in AI and machine learning

Senior ML Engineer

TechCorp AI

2022 - Present

Leading development of computer vision models for autonomous systems. Reduced inference time by 40% while maintaining 95%+ accuracy.

Deployed 5+ production ML modelsLed team of 4 ML engineersPublished 2 research papers

Data Scientist

DataDriven Inc

2020 - 2022

Built predictive models for customer behavior analysis and recommendation systems serving 1M+ users daily.

Improved recommendation CTR by 25%Reduced churn rate by 15%Mentored 3 junior data scientists

ML Research Intern

AI Research Lab

2019 - 2020

Researched novel architectures for natural language understanding and contributed to open-source ML libraries.

2 conference publications500+ GitHub stars on open-source projectBest Paper Award at ICLR

Education

Academic background and research focus

2018 - 2022

Ph.D. Computer Science

Stanford University

Machine Learning & Artificial Intelligence

Novel Approaches to Few-Shot Learning in Computer Vision

2016 - 2018

M.S. Data Science

MIT

Statistical Learning & Neural Networks

Deep Reinforcement Learning for Autonomous Navigation

2012 - 2016

B.S. Computer Science

UC Berkeley

Artificial Intelligence & Mathematics

Comparative Analysis of Optimization Algorithms in Deep Learning

Skills & Technologies

Tools and technologies I work with

Machine Learning

TensorFlowPyTorchScikit-learnXGBoostLightGBM

Deep Learning

CNNRNN/LSTMTransformersGANsReinforcement Learning

Computer Vision

OpenCVYOLOObject DetectionImage SegmentationOCR

NLP

BERTGPTSentiment AnalysisNamed Entity RecognitionText Classification

Data Science

PandasNumPyMatplotlibSeabornJupyter

MLOps

DockerKubernetesMLflowAirflowAWS/GCP

Awards & Recognition

Best Paper Award
ICLR 2023
Top 1% Kaggle
Competitions Master
5+ Publications
Peer-reviewed Journals