Seattle, WA · Available for select conversations

Apurv Singh

Senior Software Engineer — AI Systems, AWS Platforms & Distributed Infrastructure

I build the platforms that quietly run at scale — encoding fleets at Prime Video, privacy infrastructure across Amazon, and AI systems that turn ambiguous problems into reliable production software. Currently L6 Senior SDE at Amazon, with eight years across compute, data, and applied AI.

Selected Impact

10×

Dynamic fleet scaling for peak demand and large backfill workloads on Prime Video encoding.
95% → 99%

Encoding reliability lift across HEVC, AV1, H.264, Dolby Vision, and Dolby Atmos pipelines.
~1×

Processing latency reduced to roughly real-time relative to content duration.
Patent

US 11,714,918 B2 — reusable data privacy compliance systems across Amazon services.

Experience

Senior Software Development Engineer (L6)

Amazon · Prime Video Encoding · Seattle, WA

Sep 2022 — Present

Drive architecture and technical direction for Prime Video’s global encoding infrastructure — scalability, reliability, security, and long-term maintainability.
Designed fleet auto-scaling and led migration from static EC2 capacity to elastic AWS Auto Scaling, improving utilization and reducing cost.
Built operational tooling — fleet dashboards, HPC tracking, observability constructs, workflow health indicators, and alarms — to accelerate incident response.
Designed distributed workflows supporting HEVC, AV1, H.264, Dolby Vision, and Dolby Atmos pipelines, balancing quality, cost, correctness, and playback reliability.
Built AI-assisted developer tooling prototypes for troubleshooting, documentation, and ticket handling.

Software Development Engineer II (L5)

Amazon · Appstore / Alexa · Seattle, WA

Jun 2019 — Sep 2022

Architected a centralized privacy and compliance platform supporting GDPR, COPPA, and CCPA across multiple Amazon services.
Designed reusable connector-based backend architecture so partner teams could onboard heterogeneous data sources without custom integrations.
Built distributed ingestion, validation, and processing pipelines on Spark, EMR, S3, Athena, and Redshift.
Contributed to US Patent 11,714,918 B2 — reusable data privacy compliance systems.

Software Development Engineer I (L4)

Amazon · Appstore Developer Portal / Data Analytics · Bangalore, India

Aug 2017 — Jun 2019

Built backend data platforms for multi-tenant sales, earnings, and developer analytics workloads across Amazon Appstore.
Designed scalable Spark / Hive / EMR ETL pipelines and Redshift-backed analytics models; built OLAP systems on Apache Kylin for low-latency reporting.
Reduced recurring on-call ticket volume from ~70–80 to 10–15 by deep-diving root causes and shipping durable fixes.

Software Development Engineer Intern

Amazon · Appstore Analytics · Bangalore, India

Feb 2017 — Aug 2017

Research Intern

Indian Institute of Remote Sensing (IIRS), ISRO · Nagpur, India

May 2016 — Dec 2016

Selected AI Work

AI Research & Decision Systems Platform

Backend systems combining RAG pipelines, embeddings, vector search, and LLM-based reasoning — with the orchestration, ranking, and evaluation layers needed to make retrieval reliable in production rather than just in demos.

Multi-stage retrieval, ranking, and response-generation workflows.
Hybrid search and citation-aware ranking over structured and vector sources.
Evaluation systems measuring retrieval accuracy, response quality, and reliability.

Skills

Systems & Architecture: Distributed systems, backend architecture, workflow orchestration, scalability, reliability engineering, operational excellence.
Cloud & Infrastructure: AWS EC2, Auto Scaling, ECS, EKS, Lambda, S3, DynamoDB, RDS, SQS, EMR, Athena, Redshift, EBS, Docker, Helm, CloudFormation.
AI Systems: RAG pipelines, embeddings, vector search, OpenAI APIs, inference orchestration, ranking, evaluation systems, AI-assisted developer tools.
Data: PostgreSQL, Redshift, DynamoDB, Spark, Hive, Athena, vector databases.
Languages: Java, Python, TypeScript, JavaScript.
Frameworks & Tools: Node.js, Express, React, Temporal, ProseMirror, Streamlit.
Leadership: Technical roadmap, architecture reviews, stakeholder alignment, tradeoff analysis, mentoring.

Education & Honors

Bachelor of Engineering, Computer Science

Nagpur University · CGPA 8.1

2013 — 2017

ACM ICPC — Amritapuri Onsite, Dec 2016.
GlobalLogic Project Inter-College Competition — Runner Up, Feb 2016.