Piyush Kumar profile photo 1 on Tal

Piyush Kumar

Software Engineer II @ The Trade Desk • ICPC Regionals 2021, 2022 • NIT Patna

Bengaluru

4+ years of work experience

The Trade Desk
Apr 20266 mosPresent

• Spearheaded the migration of an inefficient, multi-step Quartz batch transcoding pipeline to an event-driven architecture, slashing bulk upload processing time by 91% from over 4 hours to under 20 minutes. • Consolidated complex batch dependencies (metadata reads, trancoding profile assignment, and third-party submission) into a single asynchronous worker processing “creative created” SQS events, eliminating cascading pipeline failures. • Architected a decoupled webhook-to-queue integration for Encoding.com notifications, replacing inefficient continuous polling with a dedicated worker for transcoded file validation and completion tracking.
The Trade Desk
Jul 20241 yr 10 mosApr 2026

• Revamped the Creative Bulk Upload workflow by engineering a flexible spreadsheet ingestion system, driving user completion rates from 60% to 95%. • Built a scalable, rule-based validation engine for creatives and asset metadata, enabling granular row/column error mapping to the frontend and improving overall data integrity. • Executed a zero-downtime database consolidation across multiple microservices, migrating and deprecating redundant tables containing 50+ million rows each. • Modernized malware scanning workflows from continuous polling to real-time webhooks, and led the backend integration of the creative approval pipeline with multiple SSPs.
The Trade Desk
Feb 20245 mosJun 2024

• Developed core components forthe Creatives subgraph within a large-scale Apollo Federation GraphQL API supergraph. • Consolidated fragmented approval and malware data from a legacy monolith and microservices into a unified graphQL schema. • Optimized query performance using GraphQL DataLoaders and implemented comprehensive Grafana telemetry to monitor
The Trade Desk
Jun 20233 mosAug 2023

Bengaluru, Karnataka, India

• Worked on Improving Bid Response Serialization and VAST Serialization/Deserialization. • Identified alternative serializers that can be used and created Benchmarks to measure the performance difference among them. • Written code to serialize responses using both old and new serializer and compare the performance in production and also ensured no negative impact on Real-Time-Bidding. • Created grafana dashboard to measure the improvement live in production and collected data for more than 10 million bid responses. • Achieved 35 percent reduction in CPU cycles spent on serialization.
Scaler
Jul 20221 yrJun 2023

Remote

• Helped students by clearing their doubts in Data Structures and Algorithms. • Debugged student’s codes in C++, Java, python and JavaScript and took online doubt solving sessions.
iMocha
Jan 20221 yr 6 mosJun 2023

Remote

Codeforces
@piyusheverhard

Piyush’s AI Stack

antigravity
antigravity
claude code
claude code
claude
claude
codex
codex
cursor
cursor
gemini
gemini

Education

National Institute of Technology , Patna

Bachelor of Technology - BTech, Computer Science

National Institute of Technology , Patna

20204 yrs2024

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Piyush Kumar on Tal

Headline

Software Engineer II @ The Trade Desk • ICPC Regionals 2021, 2022 • NIT Patna

Location

Bengaluru

AI stack

antigravity

claude code

claude

codex

cursor

gemini

Work experience

Software Engineer II at The Trade Desk, Apr 2026 - Present · 6 mos, • Spearheaded the migration of an inefficient, multi-step Quartz batch transcoding pipeline to an event-driven architecture, slashing bulk upload processing time by 91% from over 4 hours to under 20 minutes. • Consolidated complex batch dependencies (metadata reads, trancoding profile assignment, and third-party submission) into a single asynchronous worker processing “creative created” SQS events, eliminating cascading pipeline failures. • Architected a decoupled webhook-to-queue integration for Encoding.com notifications, replacing inefficient continuous polling with a dedicated worker for transcoded file validation and completion tracking.

Software Engineer I at The Trade Desk, Jul 2024 - Apr 2026 · 1 yr 10 mos, • Revamped the Creative Bulk Upload workflow by engineering a flexible spreadsheet ingestion system, driving user completion rates from 60% to 95%. • Built a scalable, rule-based validation engine for creatives and asset metadata, enabling granular row/column error mapping to the frontend and improving overall data integrity. • Executed a zero-downtime database consolidation across multiple microservices, migrating and deprecating redundant tables containing 50+ million rows each. • Modernized malware scanning workflows from continuous polling to real-time webhooks, and led the backend integration of the creative approval pipeline with multiple SSPs.

Software Engineer Intern at The Trade Desk, Feb 2024 - Jun 2024 · 5 mos, • Developed core components forthe Creatives subgraph within a large-scale Apollo Federation GraphQL API supergraph. • Consolidated fragmented approval and malware data from a legacy monolith and microservices into a unified graphQL schema. • Optimized query performance using GraphQL DataLoaders and implemented comprehensive Grafana telemetry to monitor

Software Engineer Intern at The Trade Desk, Jun 2023 - Aug 2023 · 3 mos, Bengaluru, Karnataka, India, • Worked on Improving Bid Response Serialization and VAST Serialization/Deserialization. • Identified alternative serializers that can be used and created Benchmarks to measure the performance difference among them. • Written code to serialize responses using both old and new serializer and compare the performance in production and also ensured no negative impact on Real-Time-Bidding. • Created grafana dashboard to measure the improvement live in production and collected data for more than 10 million bid responses. • Achieved 35 percent reduction in CPU cycles spent on serialization.

Teaching Assistant at Scaler, Jul 2022 - Jun 2023 · 1 yr, Remote, • Helped students by clearing their doubts in Data Structures and Algorithms. • Debugged student’s codes in C++, Java, python and JavaScript and took online doubt solving sessions.

Problem Setter at iMocha, Jan 2022 - Jun 2023 · 1 yr 6 mos, Remote

Education

Bachelor of Technology - BTech, Computer Science, National Institute of Technology , Patna

Public links

codeforces: https://codeforces.com/profile/piyusheverhard