# Benjamin Nichols

> Full Stack Engineer at Arrive AI

Location: Indiana, United States
Profile: https://flows.cv/benjaminnichols

Full-Stack Software Engineer specializing in Next.js and FastAPI with expertise building scalable React and Python applications. Developed an AI-powered clinical decision support system at Cerner, designing GraphQL APIs and PostgreSQL schemas to reduce data retrieval time by 30%. Built microservices-based backends on AWS with Terraform to support over 10,000 users monthly.

## Work Experience
### Full Stack Engineer @ Arrive AI
Jan 2023 – Jan 2026 | Indianapolis, IN
- Managed Full Stack Development using technologies such as React, Next.js, Vue.js, TypeScript, and JavaScript; increased feature rollouts' speed by ~30% in multiple products
- Engineered backend systems and APIs that involved Python, FastAPI, Flask to enhance APIs' performance and decrease backend latency by 20-35%
- Created and optimized PostgreSQL databases and queries that enhanced performance and decreased query runtime by ~40%
- Migrated the Analysis Assistant software to Supabase, optimizing databases, implementing Supabase PostgreSQL, and creating Edge Functions, which streamlined deployment processes
- Enabled Supabase Auth, RLS & RBAC functionalities that increased reliability and reduced authorization issues by ~25%
- Created an LLM-based solution for enabling retrieval-augmented generation, and automation of workflows through LangChain, LangGraph, AWS Bedrock, SageMaker, Lambda, S3, DynamoDB, and API Gateway; this accelerated the prototype creation process
- Developed AI voicebots with the use of technologies like Vapi, Twilio, ElevenLabs, and Deepgram; automated tasks and minimized manual work by ~40%
- Created an MCP server for running AI Workflows; enhanced compatibility with our AI products
- Created CI/CD pipelines for Dockerized applications and infrastructure using Terraform; minimized deployment failures by ~50%
- Maintained the production environment on Amazon Web Services (AWS); ensured 99.9%+ uptime due to scalable and fault-tolerant architecture
- Utilized Claude Code, GitHub Copilot, and Cursor to speed up software development process, write higher quality code, and minimize debugging time
- Coordinated cross-functional efforts to implement AI-powered product features for several thousand users

### Full Stack Engineer @ Greenlight Guru
Jan 2020 – Jan 2023 | Linton, IN
- Developed features using React/Next.js and FastAPI/Django, improving average implementation speed by 30%
- Developed robust back-end frameworks using FastAPI/Django, which led to a decrease in API call delay by 20-35%
- Implemented asynchronous API requests with FastAPI, lowering server utilization by 25%
- Optimized PostgreSQL databases with indexes and tuned queries, increasing query efficiency by 40%; deployed CI/CD pipelines using Docker and GitHub Actions, improving deployment stability by 50%
- Deployed AWS Lambda, RDS, and S3 services using Terraform, ensuring over 99.9% availability and scalability of the system
- Set up system monitoring and alarms using CloudWatch, setting up custom metrics and alarms, which increased reaction time by 35%

### Frontend Developer @ NextGear Capital by Cox Automotive
Jan 2018 – Jan 2020 | Indianapolis, IN
- Developed a scalable front-end application based on React, TypeScript, and Redux, along with component-based architecture and unit testing, resulting in a reduction of up to 25% in UI development effort
- Developed APIs for data retrieval purposes, contributing towards improvement in page load time by 30-40%
- Developed analytical dashboards based on Recharts, and thereby saved 50% of the effort required to report manually
- Implemented authentication and role-based access control (RBAC), thus saving 20% of the effort needed to handle security issues
- Collaborated in Scrum teams, using JIRA and Git to deliver new features each sprint, ensuring consistent on-time releases

### Software Engineer Intern @ Microsoft
Jan 2018 – Jan 2018 | Carmel, IN
- Built efficient React components in Next.js, leading to enhanced speed in loading the pages and an increment of 20% in UI responsiveness
- Designed RESTful APIs with microservices implemented in Python, leading to increased data consistency and a decrease of 30% in problems on the front-end
- Built efficient SQL queries in Microsoft SQL Server to manage the data and prepare reports, increasing speed and accuracy in preparing reports
- Delivered features as per the sprint in Agile methodologies to maintain sprint velocity and achieve successful on-time releases
- Helped the senior developers debug Python scripts, resulting in better-quality code and fewer bugs


## Education
### Bachelor of Science in Computer Science
Ball State University


## Contact & Social
- LinkedIn: https://linkedin.com/in/benjaminnichols08
- GitHub: https://github.com/tf8888

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Source: https://flows.cv/benjaminnichols
JSON Resume: https://flows.cv/benjaminnichols/resume.json
Last updated: 2026-04-17