Headline

Engineering at Bloomberg | Distributed Systems and Backend | AWS,RedHat Certified

About

Engineer with passion to build and scale Application on the Cloud. EAT BREATH AND SCALE Moto Enjoys building APIs. Enjoys building scalable cloud backend services. Languages: Python Java Javascript C++ Databases: SQL, NoSQL Cloud Platforms: AWS (Public Cloud), OpenStack (Private Cloud) Data Pipelines: Kafka, RabbitMQ, KafkaStreams Tools: Git,Buildbot,Spinnaker,Packer,Docker,Puppet,Terraform AI : VSCode-Copilot (All models, Many languages) OS : *Nix Cache: Redis Currently Working On : Cloud Scale Distributed Systems Certifications: 2x Redhat Certs, AWS Certified Solutions Architect Interests: Backend Engineering, Distributed Computing, Cloud Scale Infrastructure

Location

Greater Bengaluru Area

AI stack

claude code

claude

codex

cursor

notebooklm

openai

openclaw

Work experience

Senior Software Engineer at Bloomberg LP, Feb 2022 - Present · 4 yrs 6 mos, San Francisco Bay Area, Tech Lead and distributed systems engineer designing, building, and operating business-critical, real-time distributed data systems processing 50B+ events per day across multi-cluster and multi-namespace environments that costs >1M$ per year to operate. Architected coordinator-based and orchestration-based distributed systems supporting both large-scale historical backfills and continuous real-time streaming workloads. Led technical design, capacity planning, failure-recovery strategies, production readiness, and operational ownership for systems processing curves and securities data consumed by Bloomberg Terminal products and Bloomberg AI initiatives. Founded the SLO Best Practices Working Group to help engineering teams onboard legacy and greenfield systems to a standardized SLO framework. Led engineering guidance around SLI/SLO design, capacity planning, stress testing under heavy load, bottleneck analysis, reliability modeling, and production readiness. Core expertise: Distributed Systems, Real-Time Streaming, Data Pipeline Infrastructure, Multi-Cluster Architecture, Microservices, Caching and Performance Engineering, Cloud-Scale Query Systems, Reliability Engineering, SLOs, Technical Architecture, Production Systems, Stakeholder Management, Mentorship, Resource Planning, and Technical Leadership. Languages: C++, Java, Python. Technical engagement: Confluent Kafka Summit London 2024; Bloomberg Developer Conference 2024 and 2025.

Founding Engineer at Bloomberg, Pune, Founding engineer at Fixed Income and Derivatives, Emerging Markets. Sent to Pune for building an agile/Ai native/world class infrastructure / Apps team for addressing Fixed income and derivatives market One of the usecase is to build for the world’s largest options trading market - Our dear India!

Software Engineer at Salesforce, Feb 2018 - Feb 2022 · 4 yrs 1 mo, San Francisco Bay Area, eBPF Telemetry Platform: Founding engineer responsible for designing and architecting a low-latency distributed data pipeline processing 8–10M eBPF telemetry events daily across a fleet of 300+ machines spanning private and public cloud environments. Enabled engineering teams to analyze system performance and operational behavior at scale. DCIM & Real-Time Analytics: Built data pipelines for data center power-consumption telemetry, covering collection, transformation, storage, real-time analytics, and retrieval for operational dashboards. Developed backend services powering a 3D visualization platform for data center infrastructure. Build & Release Infrastructure: Built and operated CI/CD pipelines for OS image builds and RPM releases. Contributed an upstream open-source bug fix that improved the reliability and operational quality of release workflows. Cloud Image Infrastructure: Developed automated image-build configurations and workflows for both private and public cloud environments using Packer/Puppet and spun them up using Terraform

Software Engineering Intern - Infrastructure Planning Design and Operation Team (IPDO). at Salesforce, Jun 2017 - Sep 2017 · 4 mos, San Francisco Bay Area, • Worked on Data Analysis using ML models for server power consumption predictions, spcially worked in TIME SERIES data analysis and prediction. Ported the same to web application by writing an abstract code implementation for the ML model in JAVA • Helped creating a custom YUM to analyse the user defined rpms. Used Fedora RPM and repo management python libraries • Configured Puppet on Openstack Private Cloud environment. Successfully ran oracle test suite role and other internal puppet roles • Worked on an RMA mobile application using Optical Character Recognition, Geo Location, Barcode scanners, Auto-comment on chatter feeds, cross platform mobile application/ web application on cloud and automating the entire RMA flow in salesforce

Reader - Introduction to Programming EECS-40 at UC Irvine, Apr 2017 - Jun 2017 · 3 mos, Orange County, California, United States, Reader for course - EECS 40. Responsibilities - Java and android code reading and grading

Education

Master of Science (MS), Computer Engineering, UC Irvine

BE, BE Computer Engineering, Pune Institute of Computer Technology