Rohan Sehgal

Tools for Humanity

June 2026 — Present

Engineering Fellow · San Francisco, CA

• Building identity systems on the World ID team.

Broccoli.com (YC W22)

January 2025 — May 2026

Founding Engineer · San Francisco, CA

• Employee #3. Helped scale the company from $0 to $10M+ ARR.
• Built systems powering millions of AI voice calls for home-service businesses.
• Backed by Y Combinator and Khosla Ventures.

Amazon Robotics

September 2024 — December 2024

Software Development Co-op · Boston, MA

• Building automated AMI creation workflow to standardize EC2 config, installing Docker, NVIDIA drivers, and ECS agent config, cutting setup time and ensuring consistent, high-performance execution for GPU-accelerated tasks.
• Reduced total runtime from 45+ to 10 minutes, while improving stability and preservation of artifacts.
• Developed Hydra CLI automated integration tests to ensure stability for large-scale synthetic data generation.

Salesforce

June 2024 — September 2024

Software Engineering Intern · Bellevue, WA

• Worked on IAM Copilot to automate and optimize internal IAM support using a GenAI-driven backend system
• Utilized Python and XSOAR to support additional features through agents
• Cross team collaboration effort with IAM team, boosting real-time user engagement and speeding access to support

Capital One

June 2023 — August 2023

Machine Learning Intern · Philadelphia, PA

• Set up a multi-node GPU distributed training system using DASK to reduce XGBoost model training time
• Integrated the training system with a ChromaDB vector database and tuning model accuracy with Optuna
• Sped up data loading time by 10x with data iterator and migrated existing work to Kubeflow Pipelines

SAP National Security Services

June 2022 — December 2022

Software Engineering Intern · Remote

• Developed 5+ advanced analytics dashboards using SAP front-end frameworks, JavaScript, and SQL for causes such as NOLB, a veteran-run charity focusing on evacuating Afghanistan interpreters and family
• Created incident reporting software service using SAC, allowing NS2 to view 130+ companies' customer data
• Revamped internal team's SAP Solution Manager to perform highly efficient SAP HANA TPOs

Adapted an existing speculative draft for frozen Qwen3-8B. Measured 15.6% lower Rust latency versus the upstream draft on a small held-out workload, with seed replication, matched training controls, and explicit serving regressions. Includes reproducible code, raw evidence, and six checkpoint cards.

Turned a capture-the-flag crypto eval into a GRPO training environment for Qwen3-4B on prime-rl. Kept an honest null result (no significant lift at n=16 rollouts), diagnosed it to a difficulty cliff that starved GRPO of gradient, then built a procedural difficulty generator that splits each task across decoupled sub-knobs to turn a cliff into a climbable curriculum. Published as a repo, a wandb report, HF weights, and a Prime Hub environment.

A language model that reads forward-English questions and answers in character-reversed English, generated tail-first. Custom BPE trained on a mixed forward + reversed corpus, direction tokens for mode control; standard decoder-only transformer, forked from nanochat.