Saurabh Singh

About Saurabh Singh

I\'m an Engineering Tech Lead who loves building products at the intersection of AI and data infrastructure For the past 7 years at Linqia, I\'ve grown from writing my first production microservices to leading 2–3 concurrent engineering teams while staying hands-on as an IC. My most recent project is Marco — an AI copilot built on a multi-agent architecture (Google ADK, MCP Protocol) that lets clients run campaign analytics and discover creators across Instagram, TikTok, and YouTube using natural language. I drove its technical direction from design through production rollout, partnering closely with Product and DevOps 🤖What I enjoy most is taking a fuzzy product idea and turning it into a system that actually ships — setting the architecture, aligning stakeholders, building it with the team, and owning it in production. Along the way, I\'ve designed platform-wide APIs handling high-throughput, low-latency traffic, mentored engineers, and built tools that saved teams hours of manual work every week My technical sweet spots: AI/ML systems, distributed data pipelines (Kafka, Trino, CDC), search & retrieval (vector embeddings, hybrid search), and cloud infrastructure (AWS, Kubernetes). I\'m most energized when I\'m working on hard problems where AI meets real product needs Always happy to connect and talk about AI agents, data systems, or what\'s next in the space

Experience

1. Engineering Tech Lead

   Linqia

   Sep 2022 — Present · San Francisco, CA, US

   Architected and shipped Marco, an AI copilot using Google ADK multi-agent architecture and MCP protocol — drove technical direction across 2 teams, partnering with Product and DevOps from design through production rollout, enabling natural-language campaign analytics and creator discovery for all clients.* Accelerated campaign launches by 20% by building an AI-generated brief pipeline using Trino federated queries and LiteLLM proxy.* Eliminated 2–3 hours of manual analysis per campaign by developing a Comment Insights tool that automates sentiment analysis, theme clustering, and LLM-generated summaries – giving clients actionable creative signal across all active campaigns.* Improved creator matching accuracy by 25% by enhancing Creator Intelligence services with vector embeddings and similarity search.* Led 2–3 concurrent engineering teams while contributing as an IC, partnering with Product and DevOps to drive architectural decisions and reducing incident resolution time by 30% through improved on-call practices and observability tooling.

Education

• Northeastern University

  Master of Science (M.S.), Computer Science

• National Institute of Technology Silchar

  Bachelor of Technology (B.Tech.), Electronics and Instrumentation Engineering

Skills

• Matlab
• Sql
• Linux
• English
• Software Development
• Python
• C
• Programming
• Teamwork
• Team Management
• Photoshop
• Amazon Ec2
• Docker
• Microsoft Office
• Java
• Electronics
• Team Leadership
• Engineering
• Microsoft Excel
• Google Cloud Platform
• Apache Spark
• Labview
• C++
• Embedded Systems
• Windows
• Software Project Management
• Abap
• Html
• Cascading Style Sheets (Css)
• R
• Mysql
• Data Structures