Aditya Gupta
Incoming Software Engineer @ PayPal
Summary
trying this out
Education
Master of Science in Computer Science, Minor in Philosophy
Bachelor of Science in Computer Science
Experience
PayPal
- Core Transaction Platform team at PayPal Credit working with event-driven asynchronous structure
- Will develop Java/Spring-based services including batch-processing pipelines and event-listening daemons
Tamagrow
- Building agentic pipeline (Claude, Next.js, TypeScript) to monitor GitHub repos, RSS feeds, generate draft posts
- Designing scalable GitHub queueing pipeline (PostgreSQL/Supabase), per-user rate limiting, cron-based backfill
- Gathering over 60+ users through hackathons and organic growth
USAA
- Developed Spring service to ingest 100k+ business events/day (Apache Kafka, DynamoDB, React)
- Enhanced multi-repository Spring project with local authentication via Conjur, leveraging Kafka Inspection Tool for message validation and Postman for API testing, integrated with GitLab CI/CD pipeline
- Used Agile/SAFe methodologies, Jira, and QTest for story tracking and comprehensive test management
Consulting Engagement – Accounting Firm
- Maintained and deployed backend infrastructure handling 20k+ weekly requests
- Engineered geolocation-enabled interface between Deloitte, EY, KPMG, PwC, etc. with 100+ members
- Managed backend API (Express, TypeScript, PostgreSQL/Supabase, role-based authorization, SendGrid, Twilio)
Dexian
- Created Real-Time Transcription + Sentiment Analysis app (Azure, Hugging Face, Python Flask, React)
- Deployed call center solution as a Python package installed through Bash script to overseas employees
- Designed Power BI dashboards from Excel datasheets for displaying data
Projects
- Designed graph workflow to orchestrate Reddit scraping, TTS generation, video composition, YouTube upload
- Implemented human-in-the-loop nodes for content curation with bot/mod filtering
- Composed short-form videos with synchronized captions, audio mixing, automated metadata generation (Claude)
- Orchestrated multi-agent research system with parallel agent execution and Playwright web scraping
- Developed a real-time Streamlit app with async streaming updates, structured JSON tool calling for LLM agents
- Scraped 200+ social media users and posts to build networks, analyze properties, and visualize findings
- Built a sentiment analysis model using Python, NLTK, and scikit-learn to classify movie reviews (84.8% accuracy)
Technical Skills
Skills: Java, JavaScript, TypeScript, HTML, CSS, Python, C, C++, SQL, Java Springboot, Python Flask, Next.js, React, Tailwind CSS, Agile/SAFe, SQLite, MySQL, MongoDB, PostgreSQL, Supabase, Terraform, LangChain, LangGraph, Scikit, Pandas/NumPy, Prompt Engineering, Multi-Agent Systems, Groq, Claude, Azure DevOps/Jira, Docker, Apache Kafka, AWS, Azure, Playwright, Browser-Use
