CodeR – Structure-Aware RAG System
Developed a high-precision RAG system using AST parsing to map codebases of more than 10,000 lines. Architected agentic workflows with LangGraph to automate codebase analysis and reduce manual research time by 50%.
Vijay kumar Saini
Computer Science and Engineering Student
Software Development and Applied Artificial Intelligence
3roles
49skills
3education
1credentials
About
Computer Science and Engineering student with internship experience in web development and hands-on projects across full-stack applications, RAG systems, agentic AI, and automation platforms.
Experience
Web Development Intern
Puran LifeSciences
May 2025 – July 2025 · New Delhi, India
Engineered a full-stack business platform, transitioning founder concepts into functional prototypes and production-ready features. Collaborated directly with founders on technical roadmaps, market positioning, and the end-to-end product lifecycle.
Executive
Phoenix – The Entrepreneurship Club
2025
Orchestrated startup-focused events and founder mixers.
Host and Organiser
HunarBaaz 2.0 & 3.0
2024 – 2025
Managed logistics and execution for a student-led fest with more than 750 attendees.
Education
Jawaharlal Nehru University
B.Tech, Computer Science and Engineering
2023 – 2027
CGPA: 7.51/10
RPS Shidrawli
Senior Secondary Education
2021 – 2023
92%; Scholarship Recipient
BS Memorial
Secondary Education
95%
Skills
LangChainLangGraphMulti-Agent SystemsRAGLLM Fine-tuningHuggingFaceClaude APIsOpenAI APIsCursorCopilotVector DatabasesPineconeAST ParsingPythonFastAPIPandasNumPyJavaScriptTypeScriptSQLC++React.jsNext.jsNode.jsExpress.jsREST APIsTailwind CSSBrowser AutomationGitDockerStreamlitPostmanLinuxOracle Cloud InfrastructureData Structures and AlgorithmsSystem DesignDBMSResponsible AI PracticesRedux ToolkitMongoDBJWT AuthenticationRBACCRUD OperationsMulterCloudinaryPrismaSupabaseInngestArcJet
Projects
BlogR Blogging Platform
Built a MERN-based blogging application with modular MVC architecture using React, Vite, Redux Toolkit, Tailwind CSS, Node.js, Express.js, and MongoDB. Implemented JWT authentication, RBAC, CRUD operations, and Multer with Cloudinary for image uploads. Improved page load speed by approximately 35% and reduced redundant API calls by approximately 40%.
Agentic AI Automation Platform
Developed a multi-agent automation system using Inngest and Next.js for rapid proof-of-concept deployment and secure financial workflow orchestration. Integrated ArcJet and middleware-based access control to mitigate 99% of automated bot threats.