Harshith Chennamaneni's CV

• Phone: +91 94940 02727
• Email: harshith.che@gmail.com
• Location: Hyderabad, India

Summary

Software engineer with over 15 years of experience building reliable, high-throughput distributed systems and data pipelines. Background spans cloud platforms, financial systems, identity data, and bioinformatics.

Experience

Google

Hyderabad, India

July 2022 – Apr 2024

Software Engineer

Built automated tooling for Google Cloud Support and contributed to Google Cloud Storage backup and recovery.

• Built an automated pipeline to publish curated help articles from an internal Salesforce knowledge base, handling link resolution, internal reference sanitization, and policy compliance validation.

• Built the Backup Posture dashboard for Google Cloud Storage, giving customers visibility into their backup coverage and recovery readiness.

• Refactored the integration testing harness to improve developer ergonomics, documentation, and test reliability.

• Tech Stack: Kotlin, Golang, Java, Nunit

Google

Austin, TX

Oct 2019 – June 2022

Software Engineer

Redesigned backend services and data pipelines powering support workflows across Google Cloud Support.

• Redesigned services and data pipelines serving critical support signals — eligibility, service levels, and case routing — across GCP, Google Workspace, and Maps.

• Achieved 99.99% uptime and sub-500ms latency with zero outages or customer-facing bugs post-launch.

• Eliminated engineering-attention incidents entirely (from 70+ per year to zero) through improved architecture and reliability.

• Designed multi-layer caching strategies balancing data freshness requirements against strict latency targets.

• Built an async orchestration layer over multiple upstream services, each with significantly more relaxed SLOs, to meet a tighter composite SLO.

• Tech Stack: Java, Internal Java service and Async frameworks.

Bloomberg

New York, NY

Sept 2017 – Oct 2019

Senior Software Engineer

Built the enterprise reporting pipeline for Bloomberg Portfolio Analytics.

• Enhanced event-driven data pipelines modeled as DAGs to improve reliability of the reporting workflow.

• Optimized pipeline throughput to meet SLAs for large-scale portfolio report generation.

• Tech Stack: Java, Kotlin, Python, Lua, Ceph.

Hiya

New York, NY

May 2016 – Sept 2017

Senior Software Engineer

Scaled the Hiya caller ID experience globally after its spin-off from Whitepages, focusing on data coverage and pipeline infrastructure.

• Expanded international caller ID coverage and accuracy using data mining and enrichment algorithms.

• Built scalable, low-latency data ingestion and analytics pipelines.

• Deployed and operated cloud-based microservices on Kubernetes.

• Tech Stack: Scala, Akka, DynamoDB, Redshift, EC2, Kubernetes, Spark, Kafka.

Whitepages

New York, NY

Dec 2012 – May 2016

Data Engineer

Built and maintained the core identity graph powering Whitepages search, Pro API, and CallerID.

• Developed entity resolution algorithms to assimilate and deduplicate records from multiple external data providers.

• Scaled data processing pipelines using MapReduce to handle growing data volumes.

• Measured and improved accuracy, coverage, and precision of identity graph data through systematic evaluation.

• Tech Stack: Java, Scala, Ruby, Pig, Hadoop, Redshift, Postgres.

Eze Castle Software

Boston, MA

June 2010 – Dec 2012

Developer

Built analytics and modeling features for the Eze Order Management System, used by hedge funds and asset management firms.

• Integrated realtime price feeds from multiple sources and optimized portfolio analytics for low latency.

• Built a recording and replay tool for pricing and position change events, enabling simulation of field performance bottlenecks and debugging production issues.

• Improved position modeling by implementing accurate tracking of unheld theoretical positions.

• Tech Stack: C#.NET, SQL Server, dotTrace, Redgate ANTS.

Boston University

Boston, MA

Sept 2008 – Sept 2009

Research Assistant, Laboratory for Biocomputing and Informatics

Developed algorithms and software tools for detecting and analyzing patterns in DNA sequences.

• Designed an alignment-based comparison method for mapping DNA sequence sets, optimizing runtime from 24 hours to under 2 minutes — a 720x speedup.

• Tech Stack: C, pthreads, gcc/gdb, bash scripts.

Infosys Technologies

Hyderabad, India

June 2006 – Aug 2007

Software Engineer

Personal Projects

Pharma C&F Order Fulfillment

June 2025 – present

• Cross-platform mobile app and web dashboard for order fulfillment lifecycle and personnel assignment.

• Tech Stack: Dart/Flutter, Svelte, TypeScript, Golang, Pocketbase. Developed extensively with LLM-assisted tooling — Claude Code, OpenCode, MCPs, slash commands, and context management strategies.

Personal Finance App

Jan 2025 – Mar 2025

• Cross-platform mobile app for tracking expenses, budgets, and financial goals. Built with Dart/Flutter.

Education

Boston University

Boston, MA

May 2010

MA in Computer Science

DA-IICT

Gandhinagar, India

May 2006

BTech in Information & Communication Technology

Tools & Technologies

Languages: Scala, Java, Kotlin, Go, Dart, Python, C#, C, SQL

Technologies: AWS, GCP, Kubernetes, Kafka, Spark, Hadoop, Flutter, Svelte, Pocketbase, DynamoDB, Redshift, Postgres, Akka

AI & LLM Tooling: Claude Code, OpenCode, MCP servers, agentic workflows, context management