Hello! I’m Hardik Yagnik, a Senior Software Engineer at Liftoff. I build and maintain high-throughput data infrastructure that supports mobile ad attribution, with a focus on system reliability, maintainability, and performance at scale. I enjoy working on problems that require both system-level thinking and clean, pragmatic engineering.

Experience

Senior Software Engineer – Liftoff
2024 – Present

  • Working on large-scale data pipelines powering mobile ad attribution, machine learning, and reporting.
  • Migrated a high-throughput S3-based application to S3 Express, implementing a dynamic fallback mechanism to ensure resilience and reducing costs by $28,000/month, while improving storage and retrieval speeds by 10x and 5x, respectively.
  • Contributed to the development of Liftoff’s in-house Pixel SDK to support granular user tracking and event enrichment under modern privacy constraints.
  • Focused on scalability, reliability, and streamlining observability across systems.

Software Engineer – Amazon (Advertising SSP)
2022 – 2024

  • Contributed in developing Amazon’s Supply Side Platform
  • Led the onboarding of Alexa publisher enabling audio ad delivery.
  • Built log tracing and API contracts for publisher integrations.
  • Partnered with Twitch to support hybrid ad pods within SSP.
  • Contributed to real-time ad delivery and experimentation infrastructure.

Software Engineer – Coinbase (Coinbase Card Team)
2021 – 2022

  • Designed and implemented dispute processing and reconciliation workflows.
  • Contributed to the development of an asynchronous job execution framework.
  • Led enhancements in monitoring and observability for production readiness.

Previous Roles

  • Hacera (Data Intern): ML pipelines and COVID-19 data analysis.
  • Zuru Tech & Maruti Techlabs: Full-stack and backend engineering, React, Unreal Engine, API integrations.

Project

  • Multi-Objective Scheduling (Research Project)
    A research project from my university days, focused on solving concurrent scheduling problems using genetic algorithms. arxiv.org/abs/2107.02202

Skills

  • Programming Languages: Go, Python, Java, C++, JavaScript
  • Tools: Kafka, PySpark, AWS, TensorFlow, Keras, Prometheus, MongoDB, PostgreSQL
  • Focus Areas: Data infrastructure, distributed systems, backend performance, system observability

Education

M.S. in Computer Science
Stevens Institute of Technology – 2019 to 2021
GPA: 3.97