Jul 2025 – Present · 10 mos · Remote

Sep 2023 – Sep 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

Sep 2022 – Sep 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

Sep 2020 – Sep 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.