Position: Machine Learning Engineer | NLP | Data Scientist
Category: Data Science
English level: upper
Years of experience: 5


I am Armen Mkrtumyan, a Senior Machine Learning Engineer with a proven track record in developing innovative solutions and conducting impactful research. In my current role at Podcastle, I am involved in various projects. I have successfully implemented filler word detection using Langchain and researched voice cloning models. I developed a pipeline that enables real-time custom text-to-speech at a human level, using only 70 sentences from the target speaker's speech. Additionally, I have worked on speaker separation models and contributed to the development of an internal data annotations tool for ASR model prediction evaluation. My leadership skills have allowed me to lead speech editing research and development efforts.

During my time at ML Labs as a Machine Learning Researcher, I conducted research in 3D object generation and trained a Generative Adversarial Network for augmented reality (AR) applications. I also explored the field of Brain Computer Interface (BCI) and utilized Convolutional Neural Networks to classify human brain activity using EEG datasets.

As a Data Scientist at Picsart, I made significant contributions to the marketing team by training a user subscription prediction model. This model effectively identified users with a high likelihood of subscribing to premium accounts, resulting in the lowest cost per subscription rate for advertisement campaigns. I also took on the role of mentoring interns and guiding their development of image clustering algorithms for automatically created Image Collections in the app. Furthermore, I played a key role in developing a data collection pipeline for an internal A/B testing tool.

During my tenure as a Junior to Mid-level Machine Learning Engineer at SoftConstruct, I successfully trained customer Lifetime Value (LTV) and Churn prediction models. Additionally, I developed an AI chatbot assistant called "Hoory" using Google's Dialogflow API.

In addition to my technical skills, I possess advanced proficiency in Python and have extensive experience with libraries and frameworks such as Numpy, Scipy, Scikit-learn, Pandas, Matplotlib, Seaborn, Pyspark, Databricks, Hadoop, PyTorch, TensorFlow, OpenCV, transformers, Spacy, Google Dialogflow API, and Langchain.