Pranjal Shrivastava

Bachelor of Science in Computer Science; Minor in Business

Beyondsoft Consulting Inc.

• Contributed to the CDMO Platform, a full-stack collaboration portal connecting pharmaceutical clients with manufacturing partners.
• Designed a workflow management system using ReactFlow, creating a drag-and-drop interface that reduced manual task assignment time by 40%.
• Developed a flexible backend architecture using Django REST Framework, enabling dynamic business object configuration without code changes.
• Established a CI/CD pipeline using GitHub Actions and Azure DevOps, automating the deployment of Docker containers to Azure VMs.
• Optimized PostgreSQL database models for parallel task processing and real-time status tracking for enterprise users.

NewVision Software

• Built an end-to-end Retrieval Augmented Generation (RAG) chatbot using Python and Streamlit, enabling users to query internal documents with accurate citations.
• Integrated HuggingFace transformers, LangChain, and LlamaIndex to engineer robust AI pipelines for automated document processing.
• Implemented and fine-tuned machine learning models (Random Forests, VAEs, GANs) to categorize data and generate synthetic datasets.

Architecting a multi-tenant F&B training platform comprising four interconnected applications (Manager, Guest, Learning, Creator) in a scalable monorepo structure.

• Implemented a centralized authentication system using Supabase with Role-Based Access Control (RBAC) to manage permissions across different user personas.
• Developed shared UI components and gamified learning modules to ensure design consistency and user engagement across the suite.

Built an enterprise-grade financial analytics platform synthesizing real-time market data with Claude AI for institutional-quality insights.

• Engineered a data fusion engine aggregating live stocks (Finnhub) and prediction markets (Polymarket) to drive AI analysis.
• Implemented Server-Sent Events (SSE) for streaming AI responses and developed interactive technical analysis charts using Recharts.

Collaborated on a full-stack educational platform with role-based access control (RBAC), ensuring strict data separation between instructors and students.

• Designed and implemented the Instructor Analytics API to aggregate student performance metrics across 1,000+ data points.

Developed a native iOS travel discovery application using SwiftUI and the MVVM architectural pattern for clean code separation.

• Integrated MapKit for real-time 'nearby places' discovery and Firebase for cloud-based storage of user favorites.