Software Engineer

BRENDON JIANG

U.S. Citizen *******@***.*** 551-***-**** www.linkedin.com/in/brendon-jiang

EDUCATION

NEW YORK UNIVERSITY, TANDON SCHOOL OF ENGINEERING Brooklyn, NY Bachelor of Science in Biomolecular Engineering, Magna Cum Laude, GPA:3.9/4.0 Dec 2025 Concentration in Computer Science, Mathematics

Relevant Coursework: Data Structures & Algorithms, Object-Oriented Programming, Machine Learning, System Design PROGRAMMING / TECHNICAL SKILLS

Languages/Markup: Python, Java, C++, TypeScript, JavaScript, SQL, HTML, CSS

Frameworks / Infra: Django, WebSockets, Flask, FastAPI, React, Spring Boot, Express.js, Node.js, Docker, Kubernetes

Databases: MySQL, MongoDB, PostgreSQL, Redis

Tools / Cloud: GitHub Actions, AWS (EC2, S3, Lambda), Claude Code, Cursor, Copilot

Concepts: Data Structures and Algorithms, Object-Oriented Design, REST API Development, Microservices, Distributed Systems, CI/CD (GitHub Actions), Software Testing, Prompt Engineering, RAG Pipelines WORKING EXPERIENCE

LINVEST21, New York, NY Dec 2024 — Aug 2025

Software Engineer Intern

Developed and expanded a Flask-based REST API powering the company’s AI tax-report generator; implemented secure CRUD endpoints with JWT authentication, cutting API failure rates by 33% and increasing endpoint throughput by 40%.

Implemented an event-driven tax-processing pipeline using AWS Lambda and S3, linking tax-document ingestion, S3 storage, semantic rule retrieval, and automated report generation; reduced end-to-end processing time by 60% and improved system reliability through fully decoupled, serverless workflow stages.

Implemented asynchronous report-generation jobs using Celery + Redis, enabling long-running tax computation tasks to run non-blocking; reduced API response delays by 70% and cut end-to-end report generation time from ~4 min to 30 seconds.

Refactored legacy tax-processing modules into modular, testable components; containerized services with Docker and integrated GitHub Actions CI/CD pipelines.

SOV.AI, New York, NY Sep 2024 — Dec 2024

Software Engineer Intern

Built a React + TypeScript web platform for interactive data visualization and live trading strategy simulation; integrated RESTful APIs from backend services using Flask and FastAPI, enabling real-time execution of complex queries with 98% uptime.

Used OAuth 2.0 and JWT to implement authentication, role-based access control, and session handling, enhancing platform security and supporting multi-tenant access for internal analysts and traders.

Developed CI/CD pipelines via Docker automating unit and integration testing; decreased manual deployment time by 85% and reduced rollback frequency by 40%.

Redesigned the application’s caching layer using Redis and request batching middleware, improving API response speed from 350 ms to 90 ms under high-load environments.

PROJECTS

Lecture Intelligence Chatbot System

Engineered an end-to-end RAG-based lecture assistant that transcribes, summarizes, and answers questions from uploaded course videos using Whisper, LangChain, and OpenAI GPT APIs, and a vector search index.

Built a React + TypeScript frontend integrated with a Flask/FastAPI backend, supporting video uploads, playback, real- time processing status, and interactive Q&A with context generated from semantic searched material.

Optimized a data ingestion preprocessing pipeline to isolate, segment, embed, and save audio transcripts from videos for semantic search; achieved 85% accuracy in context-relevant responses across 50+ test lectures.

Added persistent session handling, conversation memory, and error tracking using PostgreSQL + Redis, increasing retention and average user interaction time by 40%. Cloud-Based Semantic File Storage and Search Platform

Developed a full-stack file storage platform system that enables PDF, text, and image upload, parsing, embedding, and natural language search using FastAPI, PostgreSQL, pgvector, and OpenAI embeddings.

Implemented asynchronous background processing with Celery and Redis to decouple file uploads from embedding generation, improving responsiveness and fault tolerance from MVP version by ~40%

Built a FastAPI backend with integrated Amazon S3 presigned URLs for scalable file storage and secure client-side uploads.

Added secure authentication with JWT access tokens, rotating refresh tokens, and Redis-backed session management to enforce user-scoped document access and search isolation.

Contact this candidate