Jay Kumar

<p>Machine learning model development for ocean data analysis enhancing advisor tools for data-driven decision-making.<br>
Developed data pipelines, integrating recommendation systems for data repositories, improving operational efficiency by 50%.<br>
Collaborated with domain experts and non-technical stackholders to enhance data proessing and understanding the objective.<br>
Developed local Retrieval Augmented Generation agent (RAG) agent to extract and process metadata from dataset manuals.<br>
Performed statistical analysis of user access logs, enabling actionable insights for catalog improvements.<br>
Maintained, created test cases (A/B Testing), and improved current code function libaries using Git, CI/CD, and data validation techniques.</p>

Machine learning model development for ocean data analysis, Developed data pipelines integrating recommendation systems, Collaborated with domain experts and non-technical stakeholders, Developed local Retrieval Augmented Generation agent (RAG) agent, Performed statistical analysis of user access logs, Maintained and improved current code function libraries

<p>Transformer deep learning large language model development to forecast ships locations and achieved 85%> accuracy and reducing forecasting errors.<br>
Integrated multi-source data (AIS, weather, ocean biophysical data) to perform advanced analytics, providing actionable insights to stakeholders.<br>
Real-time monitoring and anomaly detection, significantly improving data usability and decision-making efficiency.<br>
Enhancing data quality, implementing outlier detection, duplicate checks, and validation methods.<br>
Building runbooks and documentation for API usage.</p>

Transformer deep learning large language model development, Integrated multi-source data for advanced analytics, Real-time monitoring and anomaly detection, Enhancing data quality, Building runbooks and documentation for API usage

<p>Machine learning model development for classification and grouping unstructured short-text stream clustering using non-parametric Dirichlet processes to detect evolving text data patterns.<br>
Feature engineering of unstructed text data to extract semantics and contextual dependency to improve text similarity indexing and developed interpretable ML model experiments for dynamic data environments.<br>
Generated 0.1M$ project funding for the supervisor.<br>
Applied deep learning models to enhance text embeddings for evolving vocabularies, supporting NLP-based solutions.</p>

Machine learning model development for classification and grouping unstructured short-text stream clustering, Feature engineering of unstructured text data, Generated project funding for the supervisor, Applied deep learning models for text embeddings

<p>Java desktop application development for student admission system.<br>
Designing algorithms for admission selection based on complex catalog criteria.<br>
Front-end and back-end programming for student admisison form.<br>
Data migration.<br>
Optimizing SQL queries, JDBC database communication, fee management.</p>