Daniel Covelli

AI Engineer

Lindy.ai

October 2024 — July 2026

AI personal assistant platform. Fullstack typescript.

• Oversaw key projects helping contribute to ARR growth from $2M to $8M and user growth from 30k to 400k.
• Led design and development of "Input Tree," a declarative action spec built on Lindy's stateful-tool abstraction and adopted by the engineering team to define integration actions. Inputs were modeled as a DAG and progressively disclosed to the agent turn by turn until the call was ready to execute, making third-party schemas convertible at scale and expanding Lindy's integration offering 30x (200 → 6k).
• Led optimization efforts for Lindy's email agent, cutting heavily-edited email drafts ~40%→20%, by architecting a Temporal-based self-improving semantic memory system that leveraged a generator–judge loop to capture and update each user's changing work context (contacts, projects, style).
• Led agent cost-reduction initiative, cutting default agent costs 95% (~$300k/month in Anthropic spend) by migrating to open-source models, configuring LLM observability in DataDog and evals to maintain agent quality.
• Helped improve development velocity by reducing flakey runs in our CI/CD pipeline by 50% and decreasing the average time of successful pr jobs by ~5 minutes.
• Supported recruitment efforts by conducting 25+ technical interviews, which directly lead to 2 successful hires, and by serving as an "onboarding buddy" for several new hires.

Senior Software Engineer

Groundswell.io

June 2021 — July 2024

Payments platform for corporate philanthropy.

• First IC engineering hire. Promoted twice. Lead development on mobile, web, and social offerings. Oversaw ARR growth from $0 → $300k.
• Worked across platforms helping build features and deploying software to end users, frameworks include React Native, React, Next.js, Express, GraphQL, Prisma, and PostgreSQL.

Software Engineering Intern

Mushroom.gg

Jan 2021 — Mar 2021

• Shipped full-stack features for an early-stage social media startup to grow DAUs, using React, GraphQL/Apollo, and AWS-hosted PostgreSQL

Course Staff Intern

Berkeley EECS Department (CS88)

Jan 2020 — Mar 2020

• Helped freshman Data Science students learn Python fundamentals including abstraction, data structures, algorithmic thinking, and object oriented programming; other topics included SQL and machine learning.