Daniil K.

Key Skills

Software

Other

Top Subject Matter

NLP for customer feedback analysis

chatbot intelligence

entity recognition and classification

Top Data Types

Text

Audio

Top Task Types

Data Collection

Diagnosis

Question Answering

Classification

Tracking

Entity (NER) Classification

Freelancer Overview

Machine Learning Engineer - Remote LLC Data Heroes. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes International University MITSO. AI-training focus includes data types such as Text and Audio and labeling workflows including Data Collection, Diagnosis, and Question Answering.

Labeling Experience

End-to-end rebuild of AI matching system including training pipeline work (Senior ML engineer) at Remote LLC Helthtech (Apr 2023 - Present)

TextQuestion Answering

Rebuilt a production AI matching system end to end to recover a large-scale app launch that had failed. Owned ML system design through architecture and MLOps, which included preparing and validating training-ready model behavior for matching. Delivered rapid recovery by reworking the end-to-end pipeline within a short timeframe. • Restored broken AI matching via end-to-end system redesign. • Owned ML system architecture and MLOps setup for production. • Ran the learning pipeline to re-enable matching behavior for users. • Achieved successful launch recovery for 50,000 attendees in two weeks.

2023 - Present

Dataset collection and model training for AI lead generation platform (Senior ML engineer) at Remote LLC Helthtech (Apr 2023 - Present)

TextClassification

Led R&D for an AI lead generation platform with full ownership of dataset collection, model training, and experimentation. Built a custom multi-task, multi-head architecture while benchmarking data and iterating on experimental outcomes. Guided a junior engineer and owned the end-to-end learning loop required to train models on sourced data. • Owned benchmarking and dataset collection for lead generation. • Trained and evaluated a custom multi-task multi-head model architecture. • Conducted experiments to improve lead discovery performance. • Provided mentorship while scaling learning and training workflows.

2023 - Present

RAG chatbot development and production deployment (Senior ML engineer) at Remote LLC Helthtech (Apr 2023 - Present)

TextQuestion Answering

Built and deployed a RAG chatbot using a large portfolio knowledge base containing projects, awards, and services. Established the retrieval-augmented text generation workflow to support customer journey automation from discovery to order. Owned system design and deployment as part of ongoing AI application development. • Implemented RAG chatbot over a 30-year design studio portfolio (5,000+ items). • Streamlined customer journey using retrieval and response generation. • Designed and shipped end-to-end AI pipeline components. • Applied MLOps and deployment practices for production rollout.

2023 - Present

Audio-based medical ML model training pipeline development (Senior ML engineer) at Remote LLC Helthtech (Apr 2023 - Present)

OtherAudioDiagnosis

Designed and built an AI pipeline for detecting cardiovascular pathologies from smartphone audio data. Led the end-to-end development of specialized audio recording methodology and feature extraction to produce inputs for a bespoke model architecture. Delivered high-accuracy diagnostic performance as part of an applied ML training workflow. • Developed cardiophonogram recording method for smartphone audio inputs. • Created a cardiobit feature extraction library. • Built and trained a Cardionet architecture family for pathology detection. • Achieved 95% precision in cardiovascular pathology detection.

2023 - Present

Machine Learning Engineer - Remote LLC Data Heroes

TextClassificationTracking

Machine learning engineer responsible for automating analytics and support workflows using NLP, retrieval, and applied ML. Implemented systems for scoring, knowledge-grounded Q&A, and content understanding to improve operational efficiency and product insights. Coordinated cross-department data collection and labeling workflows to enable model development and deployment in production. • Automated cold-call quality scoring with call summaries, performance tracking, and full coverage rollout. • Built a RAG system to accelerate first-line support and reduce response lookup time. • Created a semantic matching taxonomy for messy service offerings and enabled regional pricing insights. • Upgraded chatbots with entity recognition and contextual reaction classification, plus automated review tagging and sentiment/theme extraction.

2022 - 2023

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Education

Work History