Dmitry K.

Dmitry K.

Mentor
5.0
(3 reviews)
US$15.00
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ABOUT ME
Software Engineer
Software Engineer

Professional with more than 7 years of experience in Software Engineering

English
Central Time (US & Canada) (-05:00)
Joined January 2024
EXPERTISE
7 years experience | 3 endorsements
5 years experience | 1 endorsement
2 years experience
5 years experience | 1 endorsement
2 years experience
6 years experience
4 years experience

REVIEWS FROM CLIENTS

5.0
(3 reviews)
Peter Williams
Peter Williams
May 2024
Dmitry is an exceptional mentor who goes above and beyond to ensure his mentees thoroughly understand the material. His dedication to explaining concepts clearly and his genuine concern for his mentees' comprehension make him an invaluable guide.
SOCIAL PRESENCE
GitHub
paraphraser.ainlconf.2016
new file/folder structure
Python
1
0
AINL2018TweetSentiment
Python
0
0
EMPLOYMENTS
Software Engineer
Ericsson
2022-04-01-Present
  • Designed and implemented a Python-based testing framework integrating CodeChecker, enabling proactive bug detection across multip...
  • Designed and implemented a Python-based testing framework integrating CodeChecker, enabling proactive bug detection across multiple internal code repositories. This framework significantly reduced the bug resolution time by providing timely feedback to software developers.
  • Set up and maintained multiple Jenkins jobs to automate our proprietary testing framework, leading to streamlined and effective bug detection. This improvement in identifying new bugs ensured a more dependable service for mobile operators, contributing to the retention and acquisition of contracts.
  • Addressed vital software problems within C and C++ codebases. Given that this code operates our hardware, rectifying these issues significantly enhanced the reliability of services provided to our clients, the mobile operators.
Python
C++
C
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Python
C++
C
SQL
Bash
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Software Engineer
Devalore
2021-05-01-2021-10-01

Contributed to the design and implementation of a pioneering simulation system that forecasts the performance effects of integrating n...

Contributed to the design and implementation of a pioneering simulation system that forecasts the performance effects of integrating new architectural changes into mobile CPUs as well as updates to the software it uses. This system facilitates a more optimized engineering process, substantially decreasing the duration and expense involved in implementing design changes.

C++
Bash
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C++
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Software Engineer and Researcher
Accenture
2019-05-01-2021-03-01
  • Conducted research to create innovative techniques to bolster cyber security resilience, significantly fortifying the organizatio...
  • Conducted research to create innovative techniques to bolster cyber security resilience, significantly fortifying the organization's computer network against a wide array of threats and vulnerabilities.
  • Engineered code that brings research innovations into practical application.
  • Secured two US patents for innovative solutions within Accenture, underscoring a commitment to pioneering advancements and contributing to the company's intellectual property portfolio.
  • Co-authored and published an academic paper in the prestigious IEEE conference Requirements Engineering. The paper highlights my contribution to advancing research and innovation in cybersecurity resiliency.
  • Collaborated on research projects with team members across different countries.
Python
SQL
Bash
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Python
SQL
Bash
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PROJECTS
Paraphrase DetectionView Project
2016
Published paper: https://link.springer.com/chapter/10.1007/978-3-319-71746-3_22 In the rapidly evolving domain of Natural Language Proces...
Published paper: https://link.springer.com/chapter/10.1007/978-3-319-71746-3_22 In the rapidly evolving domain of Natural Language Processing (NLP) and Machine Learning (ML), the ability to accurately detect paraphrases presents a pivotal challenge with significant implications across various applications, from plagiarism detection to enhancing conversational AI. This project introduces an innovative paraphrase detection system to address this challenge. This system sets a new benchmark for accuracy and efficiency in identifying paraphrased content.
Python
JSON
YAML
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Python
JSON
YAML
JavaScript
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Sentiment Analysis of tweetsView Project
2018
Published paper: https://aclanthology.org/S18-1025.pdf I performed experiments with manually created sentiment lexicons and word embeddin...
Published paper: https://aclanthology.org/S18-1025.pdf I performed experiments with manually created sentiment lexicons and word embeddings. Then tested their performance on twitter affect detection task to determine which features produce the most informative representation of a sentence. I demonstrated that general-purpose word embeddings produces more informative sentence representation than lexicon features. However, combining lexicon features with embeddings yields higher performance than embeddings alone. This is a solution for the task: https://competitions.codalab.org/competitions/17751
Python
JSON
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Python
JSON
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