Headline

Project Manager, Physical AI at TELUS Digital | Perception & Multimodal Data

About

I work at the intersection of AI systems and business execution. Started as a software engineer, and now I run physical AI programs across perception, sensor fusion, and autonomous systems for enterprise clients. I care most about turning messy, half-formed client requirements into a clear “here’s what we build and why.” It’s how I’ve helped scale a flagship autonomous driving program 3x and turn POCs into paid programs. The engineering background means I know what’s feasible, what’s expensive, and what’s noise. Currently working on replacing some of the rigid analytics we rely on for data-heavy deliveries, and testing whether we can predict a deliverable’s quality before customers review it.

Location

Bengaluru

AI stack

claude code

cursor

hugging face

notebooklm

notion

Raycast AI

Work experience

Project Manager (Physical AI) at TELUS Digital AI Data Solutions, Aug 2026 - Present · 3 mos, Bengaluru, Karnataka, India, • Co-manage a $3M+ perception data account for an EV OEM’s L4 program, owning client requirement triage (Solutions / Product Eng / Ops) and RICE prioritization. • Cut a perception POC’s time-to-production from 4 weeks to under 2 by becoming sole client contact and re-scoping around the client’s existing data, avoiding a costlier product rebuild. • Align 8+ client stakeholders with Engineering, Product, Ops, and Analytics; mentor 4 incoming Associate PMs on delivery and tooling.

Associate Project Manager (AI & CV) at TELUS Digital AI Data Solutions, Jul 2025 - Jul 2026 · 1 yr 1 mo, Bengaluru, • Lifted gross margin from 20% to 35% at unchanged pricing by reworking how the pipeline handled denser LiDAR point clouds, avoiding vendor cost renegotiation. • Held 3D data error rate at ~2% against a 5% threshold, with zero rejections and no SLA breaches over 12 months; replaced manual reporting with a live Retool tracker.

Solutions Software Engineer at TELUS Digital AI Data Solutions, Jul 2024 - Jun 2025 · 1 yr, Bengaluru, • Optimized and deployed KISS-ICP ego-motion compensation on LiDAR data, enabling sequential 3D annotation (tracking, aggregation, ground meshing) without manual pose fixes. • Co-built a Camera-LiDAR calibration tool with human-in-the-loop validation and regression-based fitting, replacing a planned outsourced service. • Prototyped a PII detection/pre-labeling tool (projected 80% less manual labeling) and an in-house fleet operations tracker as an alternative to a $16K vendor quote.

Technical Product Engineering Intern at Tata Steel, May 2023 - Jul 2023 · 3 mos, Jamshedpur

Software Development Intern at Erasmith Technologies Pvt. Ltd., May 2022 - Jul 2022 · 3 mos, Delhi, India, • Designed an industrialized Warehouse Management System for an APAC OEM leader. • Led a team of backend and frontend developers to create isolated, synchronised inbound and outbound processes.

Education

Bachelor of Engineering - BE, Computer Science, Birla Institute of Technology and Science, Pilani

Public links

medium: https://medium.com/@rishabhbarnwal

rishabhbarnwal.carrd.co: https://rishabhbarnwal.carrd.co/

github: https://github.com/avgCoderr