Priyadarshi Roy
Java Developer at Reverside
Jharkhand, India
Summary
👤
Senior🎓
Top SchoolPriyadarshi Roy is a Java developer with eight years of hands-on experience building backend and full-stack applications, currently focused on Spring Boot, MySQL/MongoDB and cloud-native patterns at Reverside. He pairs strong core Java skills with practical expertise in Salesforce administration/development and Oracle VBCS, enabling CRM-customized and low-code solutions alongside traditional APIs. Priyadarshi contributes to open-source tooling for LLM-driven research workflows—integrating alternative web scrapers like newspaper3k to improve data extraction and citation generation—showing attention to data quality in downstream ML/AI tasks. Comfortable with front-end technologies (HTML/CSS/JavaScript) and collaborative Git workflows, he emphasizes code optimization, scalable architecture and user-centric delivery. Based in Jharkhand, India, he brings a curiosity for emerging cloud and AI tooling and a track record of turning integrations into reliable production features.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Engineering & Management (UEM)High School, Science, High School, Science at Guru Gobind Singh Public School
Github Skills (12)
beautifulsoup10
python10
webscraping10
agent8
automations8
automation8
lm8
llm8
searching8
ai8
langchain7
openai7
Programming languages (4)
Github contributions (5)
assafelovic/gpt-researcher
Sep 2023 - May 2024
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
Role in this project:
Backend Developer
Backend DeveloperContributions:2 reviews, 14 PRs, 36 comments in 7 months
Contributions summary:Priyadarshi primarily contributed to the backend of the `gpt-researcher` project, focusing on the integration of different web scraping tools. They introduced the newspaper3k scraper as an alternative to BeautifulSoup and refactored the scraper class to accommodate different scraping methods. Furthermore, they added a config variable for the scraper and updated the prompts for report generation to include hyperlinked references. The user's work improved the project's web data extraction capabilities.
agentaiautomationllmsopenai
proy9714/ml-and-ai-digital-garden
May 2024 - Jun 2024
Contributions:679 pushes, 1 branch in 16 days
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