Dmitri Koltsov Email & Phone Number

United States

United States

Huntsville, Alabama, United States

Developing automatic creation of learning materials: using the Google Cloud Gemini model and Langchain, RAG to automatically create quizzes (multiple-choice, fill-in-the-blank etc.) and other learning materials (worksheets, flashcards etc.) from uploaded documents (pdf, docx, csv, url, youtube videos, etc.), enhancing interactive learning tools.Utilized Python for backend development, integrating machine learning models with FastAPI to serve web applications.Employed prompt engineering techniques to optimize AI model responses, ensuring accuracy and relevance of generated educational content.Collaborated in a multi-disciplinary team to implement user interfaces using React, JavaScript, and HTML, improving user experience and engagement.

Core Function: Leveraging advanced NLP techniques to enhance the matching accuracy between user profiles and job postings. Focus areas include matching based on location, skills, responsibilities, and previous work experience.Technologies and Tools: Proficient use of leading NLP libraries and frameworks, including Spacy, NLTK, and pre-trained Language Models (LMs) such as word2vec for word-to-word and BERT for text-to-text comparisons.Model Implementation and Efficiency: Skillfully employing 'last_hidden_state' and 'pooler_output' from pre-trained LMs to perform nuanced comparisons and cluster the records into categories, which allows for targeted comparisons based on user profile clusters. This method significantly streamlines the matching process, enhancing both the speed and effectiveness of the whole process.Data Management: Expertise in parsing and preprocessing text data to create datasets optimized for model input. Efficiently connecting algorithms to AWS DynamoDB for robust data handling.API Development: Developing and maintaining a Flask API to facilitate seamless interactions between the algorithms and the mobile application, ensuring a smooth user experience.

San Jose, California, United States

Data Collection and Management: Spearheaded the collection of sensor readings from over 100 diverse sensors, meticulously organizing time-series data into structured datasets. This foundational work was crucial for preparing the data for input into machine learning models.Data Preprocessing and Feature Engineering: Applied advanced data preprocessing techniques to cleanse the data, extract periods of interest, and conduct comprehensive feature engineering. My efforts in transforming raw sensor data into insightful features were key in enabling accurate model predictions.Model Development and Innovation: Pioneered the creation and testing of various machine learning and deep learning models, including CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), and Transformers, for both classification and regression tasks. My approach to model development was characterized by rigorous experimentation and a commitment to achieving results that were comparable to or surpassed existing industry benchmarks.Waymo dataset: Took charge of preprocessing the extensive dataset, ensuring the data was primed for advanced analysis. Crafted algorithms specifically designed to extract complex scenarios involving object behaviors, such as one car following another, overtaking maneuvers, and intersection crossing with yield patterns. These extractions were pivotal in training sophisticated models for future trajectory prediction, significantly contributing to the development of accurate and reliable predictive systems.

Palm Springs, California, United States

Master Of Science - Ms, Computer Science, 3.93

Activities and Societies: Tau Beta Pi

Associate Of Arts - Aa, Computer Science, 4.00

Activities and Societies: Phi Theta Kappa

Certificate, Yoga, Ayurveda

Foundation Of Acupressure