AI Developer

Experience

Senior Machine Learning Engineer – BlueCloud (2024-09-01 – )

• Led encryption/decryption of data in AWS S3 bucket for enhanced security measures.

• Conducted data migration from MongoDB to AWS using multiprocessing for improved efficiency.

• LLM Code Conversion module to convert data processing packages from Java to Snowpark Python that is integrated fully in the

Snowflake environment using the llama model through Snowflake Cortex.

Principal Specialist, Artificial Intelligence Solution Management – Etiya (2024-07-01 – 2024-09-01)

• Led a ML team in predicting course completion rates and recommending new courses for course participants.

• Deployed predictive model through Flask API for seamless integration and user experience

Data Scientist – Nesine.com (2023-08-01 – 2024-04-01)

• Developed QA models on GPT models for Nesine.com, enhancing customer service and help desk support.

• Utilized DeepSpeed for distributed LLM model training on multiple GPUs, improving efficiency.

• Implemented RAG application as a help desk chatbot for new users, utilizing Elasticsearch and OpenAI gpt-4-turbo model.

NLP Machine Learning Engineer – EY (2023-05-01 – 2023-08-01)

• Developed a chunk-based Semantic Grading System for EY ConvoCoach platform using word embeddings for answer

similarity.

• Implemented a Data Augmentation Rag pipeline to generate synonyms for natural language regular expressions.

• Deployed the system on AKS for efficient performance and scalability

Research Engineer – Huawei (2021-04-01 – 2023-05-01)

• Working on user intent extraction from search queries on Huawei App Gallery.

• Clustering queries in Turkish, Russian, and other required languages to annotate them, train a classification model to extract

information on which categories users are searching on to display better results.

• Participated in a research paper project on topic-based text clustering. Experiment with different clustering algorithms on

different datasets for the evaluation and to set a benchmark.

Specialist, Artificial Intelligence Solution Management – Etiya (2020-10-01 – 2021-03-01)

Completed and put in the production of a semantic search engine particularly for e-commerce websites when searching for

products.

In this project, I used Logstash to index the data into Elasticsearch. Created sentence vectors for the product item names using

fastText pre-trained word embedding model and indexed them in Elasticsearch.

By utilizing the cosine similarity feature from Elasticsearch, I obtained the semantic search results.

In addition to that, I created a personal recommendation section through the user shopping log data, created vectors for all

products a user had bought, and which brings the recommended products for that particular user to the homepage.

Training keyword extraction model using BERT on AWS server.

Senior Research Engineer – Xinapse (2019-03-01 – 2020-03-01)

BERT Machine Reading Comprehension(Question&Answering), Fine-tuning, optimization, SentencePiece tokenization

implementation for English and Korean

BERT Sentiment Analysis

BERT Text Classification with TREC-6 dataset

Time Series Forecasting of Business Cycle Indexes (News data-based) (Korea Institute of Industrial Technology)

Statistical Data Analysis using Unstructured Dataset

Topic Modeling, LDA, NMF, Dynamic Factor Modeling

Machine Learning Engineer – Choongwae Information Technology (2018-10-01 – 2019-02-01)

RNN Sequence-to-Sequence model based patient service system chatbot for a university hospital (Electronics and

Telecommunications Research Institute Korea - ETRI).

Seq-to-Seq model built-in raspberry pi

Database Management, Data Migration, Data Manipulation & Parsing & Extraction from the database (Oracle, SQL).