Naman Baheti

Software Engineer

Bengaluru, Karnataka, India2 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in backend and distributed systems engineering.
Proven track record in building scalable cloud services.
Strong experience in mentoring and team collaboration.

Stackforce AI infers this person is a Backend and Distributed Systems Engineer with a focus on Fintech and cloud services.

Contact

Skills

Core Skills

MicroservicesTechnical Design

Other Skills

Apache KafkaPython (Programming Language)PostgreSQLRequirements GatheringInfrastructure DevelopmentDjango REST FrameworkRedisMentoringLangChainCode DesignMongoDBGo (Programming Language)KubernetesCode ReviewTest-Driven Development

About

I am a backend and distributed systems engineer currently working at Microsoft Azure, focused on building reliable, scalable services at cloud scale. Previously at Rippling, I worked on large-scale compliance and financial workflow systems, including designing the Refiling Queue automation platform and contributing to internal services such as Filing Factory. My work involved building event-driven architectures, Temporal-based workflow orchestration, and audit-safe data models for sensitive financial transactions. I also handled production-critical workflows during high-pressure filing cycles, improving system correctness and operational reliability. My core interests lie in distributed systems, backend architecture, and designing systems that remain correct under scale and failure. I enjoy working on problems involving reliability, consistency, and long-term system evolution.

Experience

2 yrs 2 mos

Total Experience

1 yr 10 mos

Average Tenure

4 mos

Current Experience

Microsoft

Software Engineer II

Feb 2026 – Present · 4 mos · Bengaluru, Karnataka, India · On-site

Rippling

2 roles

Software Engineer 2

Promoted

Apr 2024 – Jan 2026 · 1 yr 9 mos · Bengalore · On-site

Designed and owned the Refiling Queue automation system, replacing a fully manual late-correction + retrospective filing workflow touching 15–20% of all client-agency transactions.
Built Kafka-driven event infrastructure with multi-service Temporal workflows and bitemporal DB architecture ensuring auditability and financial correctness.
Coordinated updates across 4–5 teams, enabling seamless rollout of mission-critical components handling sensitive financial transactions.
Mentored an intern and delivered Config Analyser, a GenAI text-to-SQL tool (Langgraph, Langchain, FastMCP, Databricks Genie) that cut compliance query creation time by 80%.
Migrated a critical metadata system to microservices handling 25M API calls/day, 1000 QPS peak, <5ms latency, with improved observability via Datadog + Opsgenie.
Built a real-time data sync pipeline (Kafka, Golang, Python) reducing data latency from 4 hours → 5 seconds, eliminating manual sync operations.

Apache KafkaPython (Programming Language)Technical DesignPostgreSQLRequirements GatheringInfrastructure Development+13

Software Engineer

Jun 2022 – Apr 2024 · 1 yr 10 mos · Bengalore · On-site

Built a Webscript approval system reducing DB writes by 50% in Q1, improving throughput and workflow integrity.
Led a cross-org migration with 15 engineers across 5 teams, moving from monolith → microservices for filing + payment execution systems.
Stabilized high-sensitivity financial workflows and improved deployment agility.

Python (Programming Language)Web DevelopmentTechnical DesignRequirements GatheringDjango REST FrameworkRedis+9