Karan Agarwal

Director of Engineering

Jaipur, Rajasthan, India8 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Saved over $1M in cloud costs through infrastructure optimization.
  • Architected a messaging queue for 1B+ event notifications.
  • Scaled platform to support 200 TBs of application data.
Stackforce AI infers this person is a SaaS expert with strong capabilities in AI, database management, and infrastructure optimization.

Contact

Skills

Core Skills

AiMongodbCloudMessagingCrmApi SecurityInfrastructure OptimizationDatabase ManagementCloud Cost Management

Other Skills

CCascading Style Sheets (CSS)Cheerio.jsConversations AICss3D3.jsData ManagementData ShardingDigital OceanElasticSearchEvent ProcessingExpress.jsFirestoreGitGithub

About

I am a techie who loves to build high-performance teams that solves complex problems while paying attention to performance, cost, scalability, and maintainability. Notable work - - Optimized infrastructure to save $1M+ in cloud costs - Re-configured ElasticSearch to increase throughput by 500%, decrease cost by 75% and reduce average sync latency from 250s to 500ms for 600M writes a month - Implemented a live sync service from Firestore to MongoDB which processes 250M events a month with sub 100ms average delay - Architected the database policy for MongoDB. Split data across 4 clusters based on size, sharding need, frequency of use, budget, memory and backup requirements to host 5+ TB of data. - Designed the events messaging queue to send 1B+ event notifications to 10+ internal services filtered by a custom query language. Tech Stack - Applications - React.Js, Vue.Js, Node.Js, Nest.Js Databases - MongoDB, Firestore, ElasticSearch, Redis Cloud - Google Kubernetes Engine, PubSub, Cloud Tasks, Cloud Functions, GCS Networking - Istio, VPC, Load Balancer, Firewall Terraform for IAC, Jenkins

Experience

8 yrs 9 mos
Total Experience
2 yrs 11 mos
Average Tenure
5 yrs 8 mos
Current Experience

Highlevel

4 roles

Director of Engineering - AI & Marketplace

Jul 2025Present · 10 mos · Remote

Director of Engineering - CRM, AI & Platform

Promoted

Sep 2023Sep 2025 · 2 yrs · Remote

  • AI
  • Building products like Conversations AI, Voice AI, and Support AI
  • Built RAGs along with frameworks for evaluating LLM performance and gathering data for fine-tuning custom LLMs
  • Marketplace
  • Working on the HighLevel Cloud Platform
  • Reached adoption of 265 public apps (including 119 paid apps), 11k+ private apps, 11.5k developers, and 300k monthly installations in 1 year
  • Conversations
  • Re-architect conversations platform to handle 400M messages a month
  • CRM
  • Developing Custom Objects in CRM to reduce the creation time of a new object in CRM from a few quarters to a few days
  • Data
  • Designed the data stack for standardised Observability, Alerting, ORMs, Disaster Recovery, Private connections, and Migrations across Firestore, MongoDB, ElasticSearch, and Redis
  • Scaled the platform to support 200 TBs of application data
  • Services
  • Designed and implemented Account based Rate limited execution of message queues across the infrastructure to prevent sudden spikes from an account from overwhelming the entire infrastructure
  • Designed a centralised IAM service that supports all types of authentications needed across our platform, paired with RBAC testing framework. It ensures robust API security across 1000+ APIs using the maker checker pattern
  • Centralised events architecture with account level subscriptions to achieve efficient and zero-dependency integrations between products
  • Infra
  • Fully automated and self-serve pipeline managing deployments for 500+ micro services
  • Auto SSL service to generate and renew SSL certificates on the fly for 1M websites hosted on our platform
AIConversations AIVoice AISupport AIMongoDBFirestore+2

Engineering Manager - CRM, AI & Platform

Promoted

Sep 2022Sep 2023 · 1 yr · Remote

  • Scaled the team from 4 to 12 people
  • Implemented Agile methodologies - created SOPs around indentified operational inefficiencies taking
  • the time spent on support tickets from 45% to 15% and that on building features from 15% to 60%
  • Building the Platform team from ground up, including sub-teams for SRE and Data Engineering

Technical Lead

Sep 2020Sep 2022 · 2 yrs · Remote

  • Optimized infrastructure to save $1M+ in cloud costs across ElasticSearch and Appengine
  • Re-configured ElasticSearch to increase throughput by 500%, decrease cost by 75% and reduce average sync latency from 250s to 500ms for 600M writes a month
  • Implemented a live sync service from Firestore to MongoDB which processes 250M events a month
  • with sub 100ms average delay
  • Architected the database policy for MongoDB. Split data across 19 clusters based on size, sharding
  • need, microservice, and backup requirements to host 20+ TB of data.
  • Designed the events messaging queue to send 3B+ event notifications to 10+ internal services filtered by a custom query language.
Infrastructure OptimizationElasticSearchFirestoreMongoDBDatabase Management

Stealth startup

Tech Lead

Feb 2020Aug 2020 · 6 mos · India

Wrytin

Founder

Jun 2017Jan 2020 · 2 yrs 7 mos · India

  • 400k MAUs
  • Recommendation System that daily generates recommendations from 100M+ data points and serves them under 100ms
  • Lightweight - Google Pagespeed Insights score of 95 on Mobile and 98 on Desktop
  • Full Rich Text editor Prosemirror

Education

The LNM Institute of Information Technology

Bachelor of Technology (BTech) — Computer Science And Engineering

Jan 2015Jan 2019

St. Xavier's Sr. Sec. School, Jaipur

12th — Science

Jan 2014Jan 2015

St. Xavier's Sr. Sec. School, Jaipur

10th

Jan 2012Jan 2013

Ryan International School, Jaipur

Primary School

Jan 2003Jan 2008

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