P

Purab Shingvi

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Minneapolis, Minnesota, United States

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Jobs verified_user 0% verified
  • University of Minnesota
    Undergraduate Teaching Assistant
    University of Minnesota
    Jan 2026 - Current (7 months)
    • Mentoring 100+ students in C/C++ systems programming, focusing on memory safety, pointers, and data structure implementation through weekly labs and office hours.
  • G
    Full-Stack Tech Lead
    GopherGPT - The AI Club UMN
    Sep 2025 - Current (11 months)
    • Independently architected the full-stack base platform from scratch, designing a React frontend, FastAPI backend, and Celery-based task queue for asynchronous distributed job processing. • Implemented an agentic reasoning layer using ReAct Agent to enable multi-step tool use and dynamic decision-making across platform workflows. • Leading a team of engineers to extend the platform with new features, establishing architecture standards and coordinating development across frontend and backend workstreams.
  • RB Global Inc.
    Software Engineering Intern
    RB Global Inc.
    Jun 2025 - Aug 2025 (3 months)
    • Designed and deployed scalable serverless backend architecture processing high-volume equipment valuation workflows, reducing manual turnaround time and enabling real-time pricing inference under 10 seconds. • Developed a production-grade RAG system using ChromaDB embeddings and OpenAI GPT-4 to retrieve 20 semantically similar equipment listings, delivering real-time market price predictions in under 10 seconds. • Built a full-stack assessment tool using Streamlit and computer vision APIs to generate structured JSON reports, automating manual workflows and improving processing efficiency by 60%.
  • M
    Research Assistant
    Minnesota NLP
    Mar 2025 - May 2025 (3 months)
    • Architected a Python-based data pipeline to process and verify 10,000+ scientific records, ensuring data integrity through multi-turn automated validation logic. • Designed reasoning prompts to reconstruct logical connections between citing and cited papers, enabling automated generation of citation-grounded explanatory paragraphs. • Implemented a robust verification module utilizing structured JSON outputs and confidence scoring to validate factual alignment in automated content generation.
  • Data Axle
    Software Engineering Intern (QA)
    Data Axle
    Jun 2024 - Aug 2024 (3 months)
    • Designed and deployed automated test suites for a large-scale enterprise platform using Selenium and BDD, increasing system test coverage by 35% and reducing production defects by 30%. • Integrated automated verification into CI/CD pipelines, reducing manual QA overhead by 40% and accelerating the continuous delivery cycle.
  • University of Minnesota
    Certified CS&E Tutor
    University of Minnesota
    Sep 2023 - Current (2 years 11 months)
    • Providing technical guidance to 250+ students in CS fundamentals and mathematics, contributing to a 20% average increase in exam performance through structured mentorship.
Education verified_user 0% verified
  • U
    Bachelor of Science Computer Science
    University of Minnesota, Twin Cities
    Jan 2023 - May 2026 (3 years 5 months)
    GPA: 3.81 (Dean's List) • Courses: Distributed Systems, Parallel Computing, Software Development Process, Machine Architecture, Algorithms and Data Structures, Natural Language Processing, Discrete Structures.
Projects (professional or personal) verified_user 0% verified
  • D
    Distributed AI Code Review System
    Jan 2026 - Feb 2026 (2 months)
    • Architected a multi-agent system dispatching 3 specialized AI agents (security, performance, style) in parallel via ThreadPoolExecutor, reducing review latency by ~3x compared to sequential execution. • Engineered a coordinator agent pattern to synthesize parallel outputs into a prioritized final verdict, implementing fault isolation so individual agent failures do not cascade across the system.
  • A
    AI Customer Support ChatBot
    Jun 2024 - Aug 2024 (3 months)
    • Built an intelligent chatbot using RAG architecture to answer customer queries from large FAQ and policy document repositories, reducing average query resolution time by 40%. • Integrated LangChain, vector database, and embeddings to enable semantic search across .txt and .pdf files with contextual understanding.