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neel harsola

Applied Research Engineer ยท Abundant (YC)

Neel Harsola

I do research on agent evaluations at Abundant (YC) โ€” designing benchmarks, eval harnesses, and the infrastructure that measures how frontier AI agents reason, use tools, and write code. My current focus is long-horizon autonomy: whether agents can carry real software projects across hours and days, not minutes.

I'm a co-author of SWE-Marathon, an ultra long-horizon software-engineering benchmark whose results have been cited on the official model cards of Kimi K3, Grok 4.5, and GLM 5.2.

github โ†—linkedin โ†—email

On the model cards

Frontier labs cite SWE-Marathon in their official model cards.

Kimi K3

Moonshot AI

Jul 2026

Grok 4.5

xAI

Jul 2026

GLM 5.2

Zhipu AI

Jun 2026

Work

Benchmark ยท Abundant AI

SWE-Marathon

Do agents autonomously complete ultra-long-horizon software work?

An ultra long-horizon software-engineering benchmark. Agents are dropped into real multi-language codebases and asked to carry entire projects to completion โ€” with a public leaderboard, 320 GB of fully open trial logs, and reproducible runs on the Harbor framework.

swe-marathon.org โ†—GitHub โ†—Paper โ†—

Currently

  • Long-horizon coding agents โ€” how far can an agent go unattended?
  • Agent benchmarks and eval harnesses for terminal-based agents
  • Eval infrastructure powering 5 of the 6 top frontier labs and multiple Fortune 500 companies

Experience

  1. Applied Research Engineer ยท Abundant (YC)

    2025 โ€”

    Building the benchmarks and evaluation infrastructure behind SWE-Marathon and related agent evals โ€” designing end-to-end harnesses that test how agents reason, use tools, and execute code inside containerized sandboxes, with benchmark datasets drawn from real-world debugging and engineering scenarios. This work powers evaluations for 5 of the 6 top frontier labs and multiple Fortune 500 companies.

  2. Full Stack Engineer ยท MSBC Group

    2025

    Enterprise AI: RAG platforms, a citation-backed legal knowledge assistant, and financial scenario tooling.

  3. Software Engineer ยท Clarity Sphere Technologies

    2023 โ€” 25

    ETL pipelines on Glue and Airflow; LLM workflows with LangChain/LangGraph; custom agent frameworks.

Education

  • B.E. Computer Engineering

    L.J University, Ahmedabad

    2022 โ€” 25

  • Diploma, Computer Engineering

    A.V. Parekh Technical Institute

    2019 โ€” 22

Say hello โ€” work.neelharsola@gmail.com