r
rubaiyat_17

Rubaiyat

@rubaiyat_17

Machine Learning Engineer

Bangladesh
Anglais, Espagnol, Allemand
Certaines informations sont présentées en anglais.
À propos de moi
My name is Rubaiyat and I am the last developer you will ever need. I am a Machine Learning Engineer based out of Chittagong, in Bangladesh. I have over 2 years of experience and my clients come to me because they need a reliable developer for their projects. I am especially good at explaining complex technical features to anyone who is not technical. My full stack background allows me to consult you in every step of the project. Contact me any time if you would like to chat about your project! Happy to help :)... Plus d’infos

Compétences

r
rubaiyat_17
Rubaiyat
hors ligne • 

Voir mes services

Analyse de séries chronologiques
I will do lstm,sarima ,xgboost and gru time series analysis

Expérience professionnelle

Netflix

Machine Learning Engineer

Netflix • Temps plein

Jun 2024 - Present • 2 yrs 4 mos

Optimized Real-Time Inference Latency: Re-architected the scoring pipeline for the homepage recommendation system, leveraging model quantization and Triton Inference Server to reduce P99 inference latency by 35%, improving UI responsiveness during peak traffic hours. Scalable Feature Engineering Pipelines: Designed and deployed distributed feature pipelines using Spark and Apache Flink, reducing data processing time for offline-to-online feature synchronization by 40% and ensuring near-zero data drift. Cost Reduction in Cloud Infrastructure: Spearheaded a model pruning and distillation initiative for secondary personalization ranking models, cutting GPU cloud compute expenditures by $180,000 annually without degrading recommendation accuracy (Normalized Discounted Cumulative Gain - NDCG). A/B Testing & Personalization Uplift: Collaborated with product and data science teams to design, launch, and analyze 12+ multi-armed bandit and deep neural network (DNN) A/B tests, resulting in a 1.4% lift in user engagement and improved retention metrics across international markets.