$ whoami

Sai Aravind Yanamadala

Backend Software Engineer @ Intuit

Building backend services for QuickBooks Online Payroll · New York
Resume
aravind@nyc: ~ 
$ cat profile.yaml
role:     software engineer 1
team:     intuit · qbo payroll · backend
backend:  [java, node.js, spring boot, graphql]
infra:    [aws, kubernetes, docker, ci/cd]
events:   [kafka]
ai:       [ai-assisted dev, llms, agents]
edu:      nyu ms cs (4.0) · iit indore
$

I'm Sai Aravind Yanamadala, a backend software engineer at Intuit in New York with 3+ years of experience, building fintech services for QuickBooks Online (QBO) Payroll.

  • Backend: Java and Node.js on AWS; scalable, event-driven systems with Kafka
  • Fintech-grade: idempotent, retry-safe flows, secure handling of sensitive data (PII), built for payroll-run peaks
  • Ownership: services end to end, from REST API design to production, across many teams
  • AI-assisted development: AI workflows and reusable skills that help my team ship faster
  • Before Intuit: LLM-powered ESG analytics at LOCOMeX; reactive Spring Boot microservices at Publicis Sapient
3+years building production software
35%faster LLM evaluation at LOCOMeX
30%lower API latency with Redis caching
90%test coverage, up from 70%
4.0GPA, MS Computer Science, NYU

02. Experience

Full-time

  1. Intuit

    Software Engineer 1 · Backend

    QuickBooks Online (QBO) Payroll · Fintech · New York, NY · Hybrid

    Feb 2026 – Present
    • Build and own backend services in Java and Node.js on AWS for QuickBooks Online Payroll, end to end from API design to production.
    • Build idempotent, retry-safe APIs and Kafka event flows that keep payroll processing consistent, while handling sensitive employee data (PII) securely.
    • Partner across multiple teams on features with deep upstream and downstream dependencies, aligning on API contracts, timelines and rollouts.
    • Drive AI-assisted development across the team, building reusable AI skills and workflows that help us ship faster.
    • Optimize service performance and reliability for payroll-run peaks (pay days, quarter-end and year-end) across APIs and Kafka event-driven flows.
    • Ship services to Kubernetes through Jenkins and ArgoCD (GitOps) CI/CD pipelines.
    • Contribute to a DevOps AI agent that streamlines engineering workflows.
    • Java
    • Node.js
    • AWS
    • Kafka
    • REST APIs
    • Kubernetes
    • AI-assisted Dev
    • AI Agents

  2. Publicis Sapient

    Software Development Engineer (Associate) 2

    PSStream video platform · Albertsons Health & Wellness

    May 2022 – Aug 2023
    • Cut API latency by up to 30% with Redis caching and endpoint-level performance work.
    • Built reactive backend services for Albertsons' health & wellness product with Spring WebFlux and GraphQL for non-blocking data flows.
    • Raised test coverage from 70% to 90% with unit and integration tests, reducing post-release incidents by 25%.
    • Implemented role-based access, admin dashboards and CRUD APIs for content and user analytics, improving team productivity by 40%.
    • Delivered full-stack features for PSStream, a subscription video platform, improving usability and release quality.
    • Java
    • Spring Boot
    • WebFlux
    • GraphQL
    • Redis
    • REST APIs
    • Microservices

Internship

  1. LOCOMeX, Inc

    Software Engineer Intern

    AI-powered ESG scoring platform

    Feb 2025 – Jan 2026
    • Built ESG scoring in Django with async PDF extraction and LLM processing, integrating Claude 3 Haiku and LLaMA 3.2 1B via AWS Bedrock. This cut response time by 35% and enabled real-time AI evaluation.
    • Engineered PDF/CSV report exports with document and score history, letting users retrieve past ESG evaluations, and automated report delivery via AWS SES.
    • Python
    • Django
    • JavaScript
    • AWS Bedrock
    • LLMs
    • AWS SES

03. Education

  1. New York University

    MS in Computer Science · GPA 4.0 / 4.0

    New York, NY · Academic Achievement Award · Merit Scholarship

    Aug 2023 – May 2025

    Key courses

    • Algorithms
    • Cloud Computing
    • Big Data
    • Machine Learning
    • Deep Learning
    • Software Engineering
    • Operating Systems
    • Data Science

  2. Indian Institute of Technology, Indore

    B.Tech in Computer Science & Engineering

    Indore, India

    Jul 2018 – May 2022

    Key courses

    • Advanced Algorithms
    • Parallel Computing
    • Operating Systems
    • Computer Architecture
    • Machine Learning
    • Computer Vision
    • Computer Graphics

04. Skills

core daily-driver stack other worked with

Backend

  • Java
  • Spring Boot
  • Node.js
  • REST APIs
  • Microservices
  • Spring WebFlux
  • GraphQL
  • Django
  • Flask

Frontend, occasionally: React

Languages

  • Java
  • JavaScript
  • TypeScript
  • Python
  • SQL
  • C / C++

Data & Messaging

  • Kafka
  • PostgreSQL
  • Redis
  • DynamoDB
  • OpenSearch
  • Spark / PySpark

Cloud & DevOps

  • AWS
  • Lambda
  • S3
  • SQS
  • Kubernetes
  • Docker
  • Jenkins
  • ArgoCD
  • GCP

Testing & Observability

  • JUnit
  • Mockito
  • TDD
  • Splunk
  • Grafana
  • Prometheus

AI & AI-assisted Dev

  • AI-assisted Development
  • AI Coding Tools
  • LLMs
  • AWS Bedrock
  • AI Agents
  • Fine-tuning (LoRA)
  • TensorFlow / Keras
  • NLP

Engineering practices

  • Distributed Systems
  • System Design
  • Event-driven Design
  • API Design
  • Performance Optimization
  • Idempotency
  • Data Security (PII)
  • Caching
  • Async & Reactive
  • Cross-team Delivery
  • CI/CD

05. Projects 10

Featured

★ featured
RentWiseNYC

Full Django backend that merges NYC open data (bedbugs, transit, 311 complaints, landlord history) into a searchable listings service, shipped with CI on AWS.

  • Django
  • Python
  • Travis CI
  • AWS
★ featured
PhotoFind-Index AI

Serverless, event-driven image search: S3 uploads trigger Lambda indexing with Rekognition labels into OpenSearch, queried in natural language through Lex.

  • Python
  • Lambda
  • S3
  • OpenSearch
  • API Gateway
★ featured
Prompt-Injection Detection

Fine-tuned XLM-RoBERTa to catch prompt-injection attacks on LLMs, using adversarial training to harden AI-powered systems.

  • NLP
  • Transformers
  • Fine-tuning

More projects

06. Awards & Certifications

Awards

Academic Achievement AwardMS Computer Science · NYU
Wasserman Grant RecipientNew York University
Merit Scholarship RecipientNew York University

Certifications

AWS Certified Cloud PractitionerAmazon Web Services Cloud Digital LeaderGoogle Cloud Generative AI FundamentalsDatabricks