
Plamen Dzhelepov
As a Senior Machine Learning Engineer at Project Stork, I was part of a team that is leading... | New York, New York, United States
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Plamen Dzhelepov’s Location New York, New York, United States
Plamen Dzhelepov’s Expertise As a Senior Machine Learning Engineer at Project Stork, I was part of a team that is leading an effort to train a state-of-the-art Bulgarian LLM to be used as a starting point in building chatbots. I also enhanced the local NLP ecosystem by improving the quality and diversity of existing Bulgarian datasets for chatbot use. Prior to joining Project Stork, I worked as a Machine Learning Engineer at Ardent, where I created and deployed various AI/ML models and dashboards for anomaly detection, time series analysis, and document classification, using Splunk MLTK, Python, and AWS. I managed end-to-end R&D of time series models that reduced time targeting errors by 90% across 50+ microservices, and implemented a production-level unsupervised DBSCAN algorithm that clustered documents by learned topics. I have a master's degree in finance from Clark University, and I have completed several courses and certifications in data science, cybersecurity, and web development from Galvanize, Fullstack Academy, Coursera, CompTIA, and Splunk. I am also AWS 3x Certified in Machine Learning, Data Analytics, and Developer Associate. I have a strong background in economics, statistics, and programming, and I am fluent in English, Bulgarian, and Spanish. My goal is to leverage my machine learning expertise and interdisciplinary knowledge to create innovative and impactful solutions for real-world problems. I am passionate about learning new technologies and techniques, and I enjoy working with diverse and collaborative teams. I am always looking for new challenges and opportunities to grow as a professional and as a person.
Plamen Dzhelepov’s Current Industry Meta
Plamen
Dzhelepov’s Prior Industry
Topcoder
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Aon
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Ardent
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Project Stork
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Meta
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Work Experience

Meta
Data Labeling Analyst III - Red teaming
Mon Jul 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Project Stork
Senior Machine Learning Engineer
Thu Jun 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed May 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
Ardent
Mid-Level Machine Learning Engineer
Tue Mar 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon May 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
Aon
Security Engineer
Sun Mar 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Mar 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Topcoder
Software Engineer
Sat Dec 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Feb 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)