Suraj Limbu

Supported the team in developing and maintaining python projects with focus on quality assurance and testing Built and managed pipelines using Git, Azure DevOps, and Apache Airflow Worked in containerized environments with Docker, WSL, and shell scripting Conducted application testing with SwaggerUI, unit testing, and code reviews Explored RDF Knowledge Graphs, large language models (OpenAI, Llama, Mistral), and AI agent frameworks

Performed literature study on topic modeling Explored available methodologies and dataset Conducted model training, optimization, and evaluation Documented reports

Assessed and complied findings, updates, and resolutions on bugs and technical issues Performed integration testing and gathered its issues and vulnerabilities Prepared documents and materials for internal team and customer needs Automated regression testing Executed API testing

Diagnosed and resolved application issue Monitored application performance and escalated issues beyond scope to maintain optimal up-time Tested software module integration Provided off-hour technical support

Researched techniques on automating legal procedures Prototyped automated document assembly system

Processed corpus dataset for training Prepared segmentation model from Apache OpenNLP library Executed benchmark with model from Stanford NLP Group Interfaced segmentation module in Spring Tool Suite

Machine Learning, Artificial Intelligence