Jaswanth Naidu Yedla

Hyderabad

Summary

Pipeline Assistant Technical Director with experience in USD-based workflows, pipeline automation, and production system debugging across multi-department environments. Skilled in diagnosing dependency, data flow, and render pipeline issues, with a focus on validation systems and pipeline reliability. Strong interest in evolving toward scalable pipeline and infrastructure design.

Overview

years of professional experience

Work History

Pipeline ATD

Brahma.ai (DNEG)

REMOTE

08.2023 - Current

Extended and maintained USD-based pipeline workflows, managing asset/shot composition, layer stacks, and overrides across multi-department production environments.
Diagnosed and resolved dependency and data flow issues across the pipeline DAG (layout → animation → FX → lighting), ensuring consistent shot builds and asset resolution.
Investigated and traced pipeline failures across distributed execution systems (DCC → farm → publish), identifying root causes across tools, jobs, and dependencies.
Stabilized render pipeline workflows by addressing AOV inconsistencies, scene setup issues, and farm submission failures across distributed compute environments.
Designed and implemented validation systems for asset and shot publishes, enforcing pipeline data contracts and preventing downstream breakages.
Developed Python-based automation tools (Maya, Houdini, ShotGrid) for publish, validation, and asset ingestion, reducing manual intervention in production workflows.
Debugged complex USD stage failures (missing payloads, broken references, incorrect layer composition), restoring pipeline integrity under production timelines.
Transformed recurring production issues into reusable automation and tooling, improving operational efficiency and overall pipeline robustness.

Pipeline Consultant

DNEG

REMOTE

01.2023 - 07.2023

Developed pipeline support tools for Maya and Nuke using Python and PySide2, improving artist workflow efficiency.
Created a custom rig attributes manager tool in Maya, offering a structured UI for managing rig attributes.
Introduced preset-based attribute configurations that enabled reuse of common setups, reducing repetitive tasks for rigging artists.
Integrated tools with Jira-based task workflows, facilitating production tracking across pipeline stages.
Gained exposure to production pipeline systems, including asset workflows and cross-departmental support processes.

Education

Bachelor of Technology - Computer Science And Engineering

Bennett University

Greater Noida

07-2023

Skills

Technical Skills

Programming: Python, SQL
Pipeline & Data: USD (composition, layering), dependency management, asset validation
DCC & Pipeline Tools: Maya, Houdini, Nuke, ShotGrid

Frameworks & UI: PySide2
Rendering & Compute: Tractor (render farm scheduling), AOV workflows
Collaboration: Cross-department communication, production support, issue triage

Languages

English

Proficient (C2)

Telugu

Native

Hindi

Upper Intermediate (B2)

Timeline