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Shivam Dhakad

@shivamdhakad

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I build high-volume event-driven backend systems for AI agents, trading, and DeFi platforms.

India

Message

What I'm looking for

I'm looking to build and own reliable, high-volume event-driven systems, from schema and data flow through deployment and on-call operations, while leading teams and improving engineering practices.

At Fetch.ai, I lead backend work for Agentverse and on-chain agent infrastructure, building Redis Streams pipelines, multi-region services, agent ranking feature stores, and usage metering. I cut feature computation from 2.4 seconds to 18ms, improved leaderboard p50 latency from 180ms to 125ms, and helped make stream failures page within minutes.

Previously, I built real-time trading infrastructure at ZeroDrift, sustaining 18K trade events per second under 280ms p99 latency, and developed collateralized lending, price-oracle, and DeFi risk systems at Syvora. I work across TypeScript, Node.js, Python, PostgreSQL, Kafka, Redis, AWS, and blockchain infrastructure, and I enjoy owning systems from schema and event flow through deployment and on-call reliability.

Experience

Work history, roles, and key accomplishments

Current

Senior Backend Engineer

Current

Fetch.ai

Jan 2025 - Present (1 year 7 months)

Led a 3-engineer backend team, owning the event-driven pipeline for on-chain agent entity types into PostgreSQL over Redis Streams. Diagnosed a silent 77% drop in stream throughput and led the correctness sweep, adding consumer-lag alerting. Designed a feature store cutting per-agent feature computation from 2.4s to 18ms, and built a multi-region FastAPI service for agent leaderboards.

TypeScript Python fastAPI PostgreSQL REDIS Streams Kafka Cloudflare Workers IPFS AWS Kamal GitHub Actions Jest Pytest

Senior Backend Engineer

ZeroDrift

Oct 2022 - Dec 2024 (2 years 2 months)

Led the backend platform for a real-time trading system on AWS, Kafka, Redis and WebSocket fan-out, holding p99 under 280ms at 18K trade events/sec. Engineered distributed worker orchestration with dynamic onboarding and health-based failover, scaling the fleet from 6 to 40 workers. Replaced manual runbooks with AWS Lambda pipelines, cutting on-call pages by 60%.

TypeScript Python Kafka Redis WebSockets PostgreSQL AWS EC2 Lambda S3 Docker

Backend Engineer

Syvora

May 2021 - Sep 2022 (1 year 4 months)

Built the backend for a collateralized-lending platform with credit scoring, dynamic interest-rate models, and automated liquidation logic. Engineered a price-oracle aggregation service blending six feeds via TWAP, flagging manipulation within 15 seconds. Found and fixed 11 security defects across three audit cycles.

TypeScript Python PostgreSQL Redis AWS Docker Solidity