Nishitha Tanukunuri

Software Engineer

Leander, Texas, United States9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered scalable systems processing over 980,000 records.
Developed high-accuracy text-to-code agents.
Optimized CI/CD workflows reducing deployment times by 85%.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and scalable cloud systems.

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Skills

Core Skills

Artificial Intelligence (ai)AwsReact.jsData Visualization

Other Skills

Amazon Web Services (AWS)Express.jsMongoDBOpenAI schemasAWS LambdaAWS Secrets ManagerNode.jsNext.jsHeroUIGitHub ActionsTableauMicrosoft Power BIHTMLCSSJavaScript

About

I am a Software Engineer fascinated by the intersection of scalable Full Stack architecture and Agentic AI. Currently at AI20 Labs, I architect cloud-native systems that don’t just "run" code but reason through it. My work focuses on building high-throughput orchestration engines, optimizing hybrid Edge-Cloud workflows, and engineering RAG pipelines that turn raw data into actionable intelligence. What I bring to the table: Scale: Engineered backends processing 980,000+ records and ingestion pipelines handling 500k+ messages. Gen AI: Built text-to-code agents (95% accuracy), implemented Model Context Protocols (MCP), and optimized SLM orchestration to reduce cloud costs. DevOps: Designed event-driven AWS/Cloudflare architectures ensuring 99.9% uptime and automated CI/CD workflows that cut deployment times by 85%. I focus on building clean, maintainable systems that help teams ship faster. Whether it's integrating Vector Databases, optimizing Next.js App Routers, or writing Infrastructure as Code, I love finding creative ways to solve complex engineering hurdles. Let’s connect! I’m always excited to collaborate on the future of AI and Software Engineering.

Experience

9 mos

Total Experience

9 mos

Average Tenure

9 mos

Current Experience

Ai20 labs

Software Engineer

Aug 2025 – Present · 9 mos · Austin, Texas, United States · Remote

Architected a scalable Express.js backend to process 980,000+ Point of Sale records, utilizing optimized MongoDB aggregation pipelines to deliver complex sales insights to 20+ stakeholders.
Engineered a hybrid Edge-Cloud orchestration engine that offloads ~20% of inference tasks to local Small Language Models (SLMs), standardizing OpenAI schemas to minimize cloud token costs.
Built an event-driven AWS Lambda pipeline triggered by S3 events, capable of ingesting 1,000+ simultaneous documents for vectorization, utilizing AWS Secrets Manager to eliminate hardcoded credentials.

Artificial Intelligence (AI)Amazon Web Services (AWS)AWS

Aude.ai

Software Engineer

Feb 2024 – Sep 2025 · 1 yr 7 mos · Austin, Texas, United States · Remote

Engineered a Node.js data ingestion ecosystem processing 500,000+ historical Slack messages and 100,000+ Jira actions, creating a centralized data lake for organizational health analysis.
Developed a modular Next.js (App Router) dashboard with HeroUI, consolidating performance metrics from disparate sources into a unified view for 50+ active users.
Engineered robust GitHub Actions pipelines utilizing automated test gates, reducing deployment latency by 85% (from 20m to 3m) and enabling 5+ stable weekly releases.

Amazon Web Services (AWS)React.jsAWS

Excelerate

Data Analyst

Jul 2023 – Aug 2023 · 1 mo · Chicago, Illinois, United States · Hybrid

Built interactive Tableau dashboards that simplified complex business data and achieved a 90% client satisfaction rating.
Supported data collection, cleaning, and analysis for key business cases, delivering actionable insights to cross-functional teams.
Collaborated with stakeholders to translate analytical findings into strategic recommendations that enhanced project outcomes.

TableauMicrosoft Power BIData Visualization

Ridenext software solutions pvt ltd

Software Engineer Intern

Feb 2023 – Apr 2023 · 2 mos · Bangalore Urban, Karnataka, India · Hybrid

Designed and launched a Dental Practice Management System using JavaScript, HTML, and CSS, improving interface responsiveness.
Implemented backend validations and JUnit test coverage to reduce regression incidents.
Optimized SQLLite queries and sprint workflows, accelerating feature delivery timelines.

HTMLCSS

Verzeo

Engineer Intern

Sep 2020 – Dec 2020 · 3 mos · Bangalore Urban, Karnataka, India · Remote

Developed machine learning models leveraging SVM and K-Nearest Neighbors for classification, clustering, and feature extraction across multiple datasets.
Achieved 92.5% model accuracy, optimizing training workflows and evaluating performance using key statistical metrics.
Designed data-driven reports summarizing model insights, comparisons, and accuracy trends to support decision-making and future experimentation.

Artificial Intelligence (AI)Python (Programming Language)