Experience

Agile Fuel

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• Machine Learning Engineer

  • May 2021 - Present

  -Developing models and pipelines of various tasks on multiple projects: text classification, emotion detection, sentiment analysis, outlier detection, Named Entity Recognition (NER), Hate Speech detection, time series forecasting, clusterization, and visualization. Investigating new data sources and developing data preprocessing pipelines. -Developing microservices based on Docker and FastApi. -Building and testing prototypes. -ML consulting. -Developing models and pipelines of various tasks on multiple projects: text classification, emotion detection, sentiment analysis, outlier detection, Named Entity Recognition (NER), Hate Speech detection, time series forecasting, clusterization, and visualization. Investigating new data sources and developing data preprocessing pipelines. -Developing microservices based on Docker and FastApi. -Building and testing prototypes. -ML consulting.



VARTEQ Inc.

• United States
• Software Development
• 100 - 200 Employee

• Machine Learning Engineer

  • Oct 2022 - Aug 2023

  -Developing ML models and data preprocessing algorithms for recommendation engines. -Implementing Large Language Models into the pipelines. -Developing ML models and data preprocessing algorithms for recommendation engines. -Implementing Large Language Models into the pipelines.



INSART

• United States
• Software Development
• 1 - 100 Employee

• Machine Learning Engineer

  • Nov 2020 - Sep 2021

  -Developing prototypes and hypothesis testing of various tasks: scoring, outlier detection, classification. -Developing data preprocessing pipelines and feature engineering techniques for various models. -Investigating data sources and parsing data from various sources. -Developing prototypes and hypothesis testing of various tasks: scoring, outlier detection, classification. -Developing data preprocessing pipelines and feature engineering techniques for various models. -Investigating data sources and parsing data from various sources.



Softengi - Inspired Software Engineering

• Machine Learning Engineer/Data scientist

  • Jan 2020 - Feb 2021

  -Developing data parsers and preprocessing pipelines for PDF documents and unstructured texts. -Data gathering, processing and analysis of marketing campaign data. -Developing pipelines and models for text classification, sentiment analysis, text summarization, and emotion detection. -Developing data parsers and preprocessing pipelines for PDF documents and unstructured texts. -Data gathering, processing and analysis of marketing campaign data. -Developing pipelines and models for text classification, sentiment analysis, text summarization, and emotion detection.



IntensiflyApp

• Canada
• Business Intelligence Platforms
• 1 - 100 Employee

• Machine Learning Engineer

  • Jul 2020 - Jan 2021

  Developed and deployed time series analysis forecasting and NLP algorithms. Developed and deployed time series analysis forecasting and NLP algorithms.



Better Ai

• India
• Online Media

• Machine Learning Engineer

  • Aug 2019 - Dec 2019

  -Working with unstructured data: data gathering and preprocessing. -Developing models and pipelines for object detection, outlier detection, text classification, clusterization and NER tasks. -Deployment with Python Flask library. -Creating text summarization and extraction models by implementing unsupervised approaches. -Working with unstructured data: data gathering and preprocessing. -Developing models and pipelines for object detection, outlier detection, text classification, clusterization and NER tasks. -Deployment with Python Flask library. -Creating text summarization and extraction models by implementing unsupervised approaches.



Consultivate

• United Kingdom
• Business Consulting and Services

• Machine Learning Specialist

  • Apr 2018 - Apr 2019

  -Designing and implementing machine learning pipelines for raw data of different types to generate, resample and retrieve features. -Building well-tuned models for various tasks: text classification, recommender system, regression. -Working with SQL database and deploying tools for data retrieval. -Designing and implementing machine learning pipelines for raw data of different types to generate, resample and retrieve features. -Building well-tuned models for various tasks: text classification, recommender system, regression. -Working with SQL database and deploying tools for data retrieval.