Sunny Shah

CTO

Bengaluru, Karnataka, India17 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Achieved 500x user growth with minimal infrastructure cost increase.
Key contributor to India's COVID-19 contact tracing app.
Built high-performing engineering teams across multiple domains.

Stackforce AI infers this person is a Fintech and Data Engineering expert with a strong focus on scalable systems.

Contact

sunny@sarvam.ai LinkedIn

Skills

Core Skills

BackendData EngineeringSoftware Development

Other Skills

AIBIC#C++ClickHouseDBData ScienceDebuggingDevOpsEmbedded LinuxEmbedded SoftwareEmbedded SystemsGoogle LookerHBaseHadoopHive

About

Engineering leader with 15+ years of experience scaling fintech and consumer platforms from zero to 100M+ users. Specialist in backend, data platforms, DevOps, AI and infrastructure cost optimization. Proven record of 500x user growth with only 6x infra cost increase while building high-performing teams across backend, data, and AI/ML. Trusted partner to product and business leaders in driving growth through resilient, efficient, and secure systems. Key Achievements: • Scaled INDmoney’s user base from 35K -> 18M with infra cost growing only 6x. • Key contributor to Aarogya Setu, scaling India’s COVID contact tracing app to 100M+ users in 2 weeks. • Built engineering orgs from scratch across backend, data, DevOps, AI, scaling to 120+ engineers. • Planned and delivered zero-downtime strategic migrations (ECS -> EKS, Spark+Airflow on K8s, MySQL -> Postgres) enabling rapid product launches. • Architected 100TB+ data platforms powering fraud detection, personalization, and BI insights. • Built in-house AI models for fraud prevention and liveness detection, reducing risk at scale.

Experience

Sarvam

Engineering Leader

Dec 2025 – Present · 3 mos · Bengaluru, Karnataka, India

Indmoney

2 roles

Head of Engg (Financial Services, AI, Data Science & Dev Ops )

Apr 2024 – Sep 2025 · 1 yr 5 mos

Scaled user base from 35K to 18M while infra cost grew only 6x through continuous optimization.
Built backend, DevOps, data, and AI teams from scratch, enabling rapid org growth.
Drove strategic migrations (ECS -> EKS, Elasticsearch -> Loki, Spark/Airflow on K8s).
Transitioned from Python monolith -> GoLang/Scala microservices, MySQL -> Postgres, and Celery -> SQS workers.
Implemented processes to keep latencies <200ms and error rates <0.01%.
Migrated data infra from S3+Athena (daily refresh) → ClickHouseDB (real-time ingestion).
Introduced and migrated to Google Looker for BI reports, enabling reliable reporting and insights.

BackendDevOpsAIData ScienceData EngineeringMicroservices+3

Founding member & SVP, Tech

Sep 2020 – Jun 2024 · 3 yrs 9 mos

Aarogya setu

Data Platform Lead and Architect ( Volunteer )

Apr 2020 – Jul 2020 · 3 mos · Bengaluru, Karnataka, India · Remote

Architected and built privacy-first data & BI platform for India’s COVID-19 contact tracing app.
Scaled platform to support 100M+ users in 2 weeks under massive demand.
Tech stack: Kafka, Spark, Scala, Delta.io, Debezium, Airflow, ElasticSearch, Redash.

Data EngineeringBIKafkaSparkScala

Goibibo

4 roles

Associate Director ( Data engineering and Data science )

Promoted

Apr 2019 – Aug 2020 · 1 yr 4 mos

Migrated from Hive/Pig/HDFS -> Debezium, Kafka, Redshift, Spark, S3, building a reliable 100TB+ data platform.
Developed dynamic pricing & intelligent invite systems, driving ~15% revenue growth.

Data EngineeringData ScienceKafkaRedshiftSpark