Dyotak Kachare

Education

Vivekanand Education Society's Institute Of Technology (VESIT), Mumbai Dec. 2021 – May 2025
Bachelor of Engineering in Artificial Intelligence and Data Science with Honours in Blockchain CGPA: 8.68

Experience

Institutional Shareholder Services - STOXX July 2025 – Current
Junior Analyst
  • Developed a proof-of-concept RAG application on Vespa.ai, enabling document ingestion and high-recall retrieval.
  • Implemented Python scripts to benchmark & compare Vespa.ai and Elasticsearch performance, validating accuracy.
  • Replaced Google Translate API with an LLM-based translation, implemented glossary feature for translation consistency.
Mercari, Japan December 2024 – February 2025
Machine Learning Engineer Intern
  • Worked in the Trust and Safety team on the Item Moderation project.
  • Worked with a highly imbalanced dataset (10-6 positive class ratio) to improve model performance.
  • Enhanced the production LightGBM model, increasing precision from 3% to 5%.
  • Fine-tuned Japanese BERT and DistilBERT models, further improving precision to 6.5%.
Cere Labs May 2024 – July 2024
Software Engineer Intern
  • Developed a parser for html documents that extracts text from html pages to be ingested for chatbot.
  • Developed a service that extracts html pages related to user query and uploads it to another internal service.
  • Improved performance of existing website by changing a polling request to a websocket connection.

Projects

AI YouTube Search | PyTorch, BERT, Streamlit, Pinecone
  • Created a RAG (Retrieval-Augmented Generation) system for a limited YouTube video dataset.
  • Embedded video transcripts using sentence BERT and stored embeddings in Pinecone vector database.
  • Developed a user interface with Streamlit to facilitate user interaction and video search.
Credit Card Fraud Detection | Python, Flask, React
  • Developed a machine learning model for detecting fraud in a highly imbalanced credit card transaction dataset.
  • Implemented SMOTE and undersampling techniques to improve model accuracy.
  • Created a backend server using Flask and a frontend interface using React.

Technical Skills

Languages: Python, Java, C, HTML/CSS, JavaScript, SQL
Technologies/Frameworks: Scikit-learn, PyTorch, TensorFlow, Flask, FastAPI, React, Node, MongoDB, Docker
Tools: Git, GitHub, MS SQL Server

Roles

AI CoLegion May 2024 – May 2025
President Vivekanand Education Society's Institute Of Technology

Achievements

Certificates