Venkata Krishna Chaitanya Nuthalapati · Independent researcher

Hey there, I'm

Chaitanya
N.V.K.

Software Development Engineer · Workday, Atlanta GA

+1 (404) 490-5061 nvk.681@gmail.com nvk681.github.io

Highly skilled software engineer with 7+ years of experience delivering impactful solutions at Workday, Amazon, and Darwinbox. My expertise spans zero-loss database migrations, scalable backend systems, cloud infrastructure, API design, and production safety guardrails.

I also publish open-source tools and research — including the gumo npm package (web-crawler & scraper) and peer-reviewed papers on software architecture, computer vision, and hashing algorithms.

Years Experience

Research Papers

npm Package

25M+

Users Impacted

Download Resume

Career

Experience

Aug 2025 – Present

Atlanta, GA

Workday

Software Development Engineer

CI/CD REST API Platform: Designed and shipped production /api/v2 endpoints — revision sessions, conflict detection, audit reporting, IA bypass, and push-to-master — across 36 merged PRs, extending the UI-only platform to programmatic service integrations. Now serves ~1.1M UI + API requests / 30 days (~201K programmatic) in production.
Service-to-Service Authentication & Security: Built hashed API-key auth with Quarkus security (service vs. user context separation) plus Narada Bearer support, and drove the threat model through Workday's security review — unblocking API GA with a validated auth layer covering both flows.
Push-to-Master & Merge-When-Ready Hardening: Shipped PCQ client-credential auth, push cancellation, and automatic IA-bypass; standardized typed 422/503 error codes with EMF metrics and CloudWatch dashboards/alarms, replacing generic 500s with named, observable failure modes for on-call.
Distributed Tracing Across the Pipeline: Implemented end-to-end X-Trace-ID propagation from Coffeehouse through CRS, Panda, and XORC to GitHub Checks, closing the epic with full cross-service trace correlation and faster root-cause on pipeline failures.
Capacity Sizing & Graviton Migration: Right-sized production ECS to 4 vCPU / 16 GB (post-resize CPU ~1.5% mean) and authored the x86→Graviton RDS migration assessment across five service groups, filing per-instance implementation stories with projected cost savings.
Async Reliability & Audit Governance: Added a 10-minute hard timeout to AuditReportWorkflow and built job-step tracking with an async coordinator pattern — eliminating indefinitely-hung audit jobs and giving operators step-level visibility.

Sep 2023 – May 2025

Seattle, WA

Amazon

Software Development Engineer

UNFI Enhancement: Improved vendor item-store review pages using AWS Lambda, reducing decision-making time from hours to minutes.
WRAP Backfills: Led backfill initiatives in UK, JP, and US — enabling online sales for physical stores, increasing sales by 20% in initial months.
WRAP Migration: Optimized migration workflows and Lambda configurations, achieving a 30% reduction in migration time.
Guardrails: Developed workflow rules and validations, resulting in a 60% decrease in user tickets by automating error handling and data validation.
Grocery Listing: Enhanced the supply chain listing process, cutting user story time from 10 minutes to 4 minutes for over 25 million global users.
Sourcing Grid: Designed a new API and UI to streamline configuration, simplifying selection from five attributes to one.

Feb 2023 – Jul 2023

Atlanta, GA

RE IT Services Inc

Software Development Engineer

Data Pipeline: Implemented auto-archival of database records, resulting in a 90% improvement in query performance.
API Scaling: Enhanced APIs for increased load and automated CI/CD tasks using Jenkins and Docker, saving 6 hours of manual work per task.
Data Processing: Built event-driven data processing solutions using Kafka, standardizing multi-source data across 18 systems and reducing on-call load by 11 hours/week.

May 2022 – Aug 2022

Metro DC, VA

Amazon · AWS

SDE Intern

AEA Onboarding: Streamlined the AWS Enterprise Access onboarding process, reducing average onboarding time by 7 hours per instance.
Topos: Built a full-stack Python console to resolve security issues from network scans, enhancing security for 9,000 Amazon services.

Jun 2018 – Aug 2021

Hyderabad, India

Darwinbox · Cloud-based HRMS

Senior Software Engineer

Microservices Migration: Led migration to microservices using Node.js and Docker, reducing throughput time from 6 minutes to 1 minute.
MongoDB Optimization: Executed optimization strategies saving $800K in infrastructure costs.
Multi-Payroll Integration: Created stateless APIs for payroll systems, serving 1 million users across multiple systems.
Payroll Automation: Reduced manual processing hours from 40 to 12 using Redis and RabbitMQ.
Taxation System: Built a multi-country tax handling framework, attracting 50 new clients.
Recruitment Automation: Automated hiring pipeline using event emitters, reducing hiring time by 60%.

Dec 2017 – Apr 2018

Hyderabad, India

Darwinbox

Intern

Chatbot: Leveraged Wit.ai (Facebook's NLP) to automate tasks for 1 million+ customers, using Go.
OCR Integration: Integrated OCR into reimbursement workflows, reducing processing time by 90%.

Open Source & Personal

Projects

Open Source

Open Source · npm

gumo

A web-crawler and scraper for extracting data from families of nested, dynamic web pages. Built with enhancements to assist knowledge-mining applications. Published as an actively maintained public npm package under the MIT License; supports knowledge graph extraction with Elasticsearch and Neo4j.

Node.js MongoDB npm Web Crawler MIT

gumo on npm gumo release history gumo source on GitHub

Research · Computer Vision

NFL Helmet Safety · Real-Time Detection

Helmet segmentation and labeling for the NFL Health & Safety Kaggle challenge. Research published on arXiv as "Real-Time Multi-Object Detection for Helmet Safety" (May 2022).

Python Pandas NumPy Detectron Deep Learning

Helmet safety publication GitHub

Academic Research

Research Publications

IEEE

"Balancing Microservices and Monolithic Architectures"

Nuthalapati, V.K.C. · IEEE Computer Society Santa Clara Valley Chapter · Feedforward, Vol. 5, No. 3, pp. 28–33 · July 4, 2026 (arXiv)

Practical trade-off analysis for choosing between microservices and monolithic architectures across team size, operational maturity, and scaling needs.

Balancing Microservices and Monolithic Architectures on arXiv ↗
ResearchGate record · J-GLOBAL (JST), ID 202602218608239358

arXiv

"Real-Time Multi-Object Detection for Helmet Safety"

Nuthalapati, V.K.C. et al. · arXiv · May 19, 2022

Developed real-time helmet identification using deep learning for player safety in NFL environments. Covers multi-object detection under motion blur and occlusion.

arxiv.org/abs/2205.09878 ↗

IEEE

"Matrix Hashing with Two Level of Collision Resolution"

Venkata Krishna Chaitanya Nuthalapati, Anand Agrawal and Sriram Bhyravarapu · IEEE Confluence 2018 · p. 526 · 8th International Conference on Cloud Computing, Data Science & Engineering

Proposed a novel hashing technique improving collision management efficiency for scalable lookup structures.

DOI: 10.1109/CONFLUENCE.2018.8442607 · Confluence proceedings table of contents
ieeexplore.ieee.org/abstract/document/8442607 ↗

Springer

"Installation Automation Tool"

Nuthalapati, V.K.C. et al. · ICAIECES-2017 & ICPCIT-2017 · Springer · 2018

Automated software installation and configuration workflows for enterprise environments.

Zenodo

Securing Cash Transactions Any Where Using Artificial Intelligence

Zenodo · 2017

Research on applying artificial intelligence to cash transaction security.

DOI: 10.5281/zenodo.20237265 · ResearchGate record

See academic and professional profiles.

Writing

Published Articles

HackerNoon

Matrix Hashing: Two-Level Collision Resolution for Scalable Lookups

hackernoon.com ↗

HackerNoon

Ensuring Trustworthy AI in Sports Safety: A Case Study of Real-Time Helmet Collision Detection

hackernoon.com ↗

Technical

Skills

Languages

JavaPythonGo JavaScriptTypeScript C++SQLNoSQL

Distributed Systems

MicroservicesKafka RabbitMQREST gRPCEvent-driven Multithreading

Cloud & DevOps

AWS LambdaEC2S3 RDSKubernetes DockerJenkins GCPAzureCI/CD

Databases

MongoDBCassandra DynamoDBPostgreSQL RedisElastiCache

Frameworks

Spring BootNode.js ExpressReact AngularTDD

Tools & Observability

GitLinux PrometheusGrafana CloudFormationJProfiler

Academic Background

Education

Aug 2021 – Dec 2022

Georgia State University

Master of Science in Computer Science

Full Scholarship + Graduate Teaching Assistantship

GPA: 3.96 / 4.0 · Atlanta, Georgia

Aug 2014 – Aug 2018

Vignan University

Bachelor of Technology in Computer Science

Merit Scholarship

GPA: 3.65 / 4.0 · Guntur, AP, India

Recognition

Awards

Academic Excellence Award based on performance in Bachelor's 1st year (I & II Semester).

🥇 1st Place — CODE CACHE event at International Tech Extravaganza "Srujankura" · Jan 26–28, 2017.

Regular volunteer and donor for Food4Lives — community food assistance organization.

Community

Volunteering

Venkata Krishna Chaitanya Nuthalapati volunteers as a programming instructor with Mentors Without Borders and is a regular volunteer and donor for Food4Lives, a community food assistance organization.

Feb 2026 – Present

Remote · Ghana

Mentors Without Borders · Education

Instructor

As part of a global initiative to bridge the digital divide, I mentor junior high school students in Ghana remotely — teaching web development and programming basics through structured weekly sessions on Zoom.
Every lesson is an opportunity to spark curiosity and open doors for the next generation of developers.

Research & Community

Media & Press

Press

What It Means to Maintain Open-Source Infrastructure in an Era of Rapid Change

The American Reporter · September 29, 2026

Coverage of maintaining open-source infrastructure.

View The American Reporter coverage

Press

How Modern HR and Financial Platforms Are Preventing Costly System Failures

Fox Interviewer

Coverage of reliability in HR and financial platforms.

View Fox Interviewer coverage

Instagram

Instagram reel

Instagram

Social media reel.

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Instagram

Instagram post

Instagram

Social media post.

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Social

xRaised: software engineering and tech leadership

xRaised · LinkedIn

Public post tagged software engineering and tech leadership.

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Social

xRaised: software engineering and tech innovation

xRaised · LinkedIn

Public post tagged software engineering and tech innovation.

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Public LinkedIn post

Public post shared by NVK Chaitanya.

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Research & Community

Peer Review

JITCAI

JITCAI Review Team

JITCAI

Reviewer listed on the journal review team.

JITCAI reviewer listing

Research & Community