Tarun Chawla
Founding Full-Stack Engineer at Qrev AI
New York, New York, India
Summary
🤩
Rockstar🎓
Top SchoolTarun Chawla is a founding full-stack engineer with five years of experience building AI-enabled SaaS products, scalable backends, and cloud-native infrastructure. At QRev AI he shipped a TypeScript/React Next.js product with immersive 3D UI and a Chrome extension that boosted marketing email open rates by 30%, while architecting LLM-driven automation that cut campaign setup time by 40%. As an open-source maintainer at MindsDB he built high-throughput integrations (Slack, Llama2, WhatsApp) and optimized inference pipelines to serve 10,000+ concurrent requests, turning minute-scale responses into seconds. His DevOps background includes Kubernetes multi-cloud architecture, Terraform IaC, and production monitoring with Prometheus/Grafana, complemented by AWS, Azure, and CKA certifications. Combining a Master's in MIS with hands-on product and OSS work, he focuses on pragmatic, measurable outcomes—often improving throughput and developer workflows behind the scenes. Based in New York and active on GitHub, he blends startup grit with collaborative open-source contribution to bridge databases, LLMs, and user-facing experiences.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at University of MumbaiMaster's degree Management Information Systems General, Master's degree Management Information Systems General at Stevens Institute of Technology
English, Hindi, Sindhi, Marathi
Github Skills (5)
unit-testing10
apim10
slack-api10
api10
python10
Programming languages (8)
Github contributions (5)
mindsdb/mindsdb
Apr 2023 - Feb 2024
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 reviews, 17 PRs, 94 comments in 10 months
Contributions summary:Tarun primarily contributed to the development of the Slack integration within the MindsDB repository. Their work included adding core functionality such as the ability to select and insert messages into a Slack channel, and implementing the functionality for updating and deleting the existing messages. They also wrote unit tests to validate the Slack integration's features and ensure proper functionality. This demonstrates their focus on expanding the platform's integration capabilities and ensuring the reliability of the implemented features.
localaimachine-learning-databasesolacesinglestoreexplainable-ml
tcchawla/mindsdb
Apr 2023 - Mar 2024
A low-code Machine Learning platform to help developers build #AI solutions
Contributions:168 pushes, 24 branches in 11 months
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