Jamoni J.

Key Skills

Software

Don't disclose

Top Subject Matter

Machine Learning systems

recommender systems

Nlp Domain Expertise

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

Assistant Lecturer – Data Science (M.Sc. Programme), National University of Science and Technology MISiS, Moscow, Russia. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Doctor of Philosophy, National University of Science and Technology MISiS (2025) and Master of Science, National University of Science and Technology MISiS (2021). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Computer Pro

Labeling Experience

Software Engineer – Data Systems, Tizi, Moscow, Russia

Don't disclose

Supported ML-driven production features by building and maintaining data systems and secure APIs that enable AI model usage in applications. Optimized data models and database performance through schema optimization and indexing strategies that affect ML data readiness and throughput. Mentored junior developers and facilitated structured technical code reviews to maintain engineering quality for ML-enabled services. • Developed RESTful APIs for ML-driven features. • Optimized database performance for data-intensive applications. • Converted business requirements into robust data models. • Mentored developers via technical code reviews.

2023 - Present

Assistant Lecturer – Data Science (M.Sc. Programme), National University of Science and Technology MISiS, Moscow, Russia

Don't disclose

Supervised MSc thesis projects that used machine learning models and required students to design, validate, and benchmark predictive systems. Guided students through experimentation and dissertation writing for recommender systems, NLP classification, and predictive modeling tasks. Performed structured academic code reviews focused on clarity, reproducibility, and performance to support model development and evaluation. • Supervised thesis research design and experimentation. • Validated models using statistical and empirical evaluation. • Reviewed research code for reproducibility and performance. • Mentored students on AI career pathways and research methodology.

2023 - 2026

Data Science Intern - Computer Aided Design Laboratory

TextClassification

Conducted exploratory and modeling work for industrial and e-learning related datasets, using regression, classification, clustering, and decision tree methods. Built recommender system prototypes and performed statistical validation to assess model behavior and performance. Applied data analysis techniques and research-oriented experimentation to translate findings into working model prototypes. • Created predictive models for mineral transport forecasting using regression and classification • Applied clustering and decision tree algorithms to analyze industrial datasets • Built recommender system prototypes for e-learning content platforms • Conducted exploratory data analysis and statistical validation of models

2019 - 2019

Data Science Intern, Computer Aided Design Laboratory – MISiS, Moscow, Russia

Don't discloseClassification

Built predictive models and early recommender system prototypes as part of a data science internship involving supervised learning workflows. Applied regression and classification methods for mineral transport forecasting and used clustering and decision tree algorithms on industrial datasets. Performed exploratory data analysis and statistical validation to assess model behavior and readiness. • Created regression and classification predictive models. • Applied clustering and decision tree analysis. • Built recommender system prototypes for content platforms. • Conducted exploratory data analysis and statistical validation.

2019 - 2019

Education

Work History