I am a machine learning engineer in fintech, with experience in successfully building and deploying AI-powered products using diverse tech stacks. My career started with raw data science and gradually shifted to ML engineering with a bit of MLOps.
On the side, I occasionally do writing gigs. I am a professional business-to-business (B2B) writer with 4+ years of experience. I specialize in topics in and around information technologies and science, including machine learning, cybersecurity, SaaS (Software-as-a-Service), statistics, and mathematics.
You can find out more about my services here. Have a look at samples of my work here. Finally, find out more about my fees here.
Professional Experience
Acba Bank OJSC – Yerevan, Armenia
July 2022 – Present
Academic Qualifications
- European University of Armenia, Master of Informatics, 2018 – 2020.
- Franco-German Engineering Institute of Armenia, Bachelor of Engineering, 2013 – 2018.
- “European College in Armenia” Foundation, Economics, Accountancy, and Audit, 2010 – 2013.
Certifications
- Mathematics for Machine Learning Specialization, Coursera, December 2021.
- Mathematics for Machine Learning: Linear Algebra, September 2021.
- Mathematics for Machine Learning: Multivariate Calculus, November 2021.
- Mathematics for Machine Learning: PCA, December 2021.
- DeepLearning.AI TensorFlow Developer Specialization, Coursera, April 2021.
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, April 2021.
- Convolutional Neural Networks in TensorFlow, April 2021.
- Natural Language Processing in TensorFlow, April 2021.
- Sequences, Time Series and Prediction, April 2021.
- Machine Learning, Coursera, February 2020.
Technical Skills
- ML/DL frameworks: PyTorch, TensorFlow, LangChain, scikit-learn.
- Visualization libraries: Matplotilb, Pyplot, Seaborn.
- Application & API building frameworks: Uvicorn, FastAPI, LangServe, Streamlit.
- Data manipulation libraries: NumPy, Pandas.
- ML/DL algorithms: Neural networks, LSTMs, Transformers, decision trees, clustering (K-Means, DBSCAN, etc.).