Hello, I'm

Rutuja Padgilwar

I build scalable backend systems and production AI/LLM applications — currently 7 LangGraph-orchestrated agents analyzing 10,000+ companies daily; previously healthcare platforms serving 100,000+ patients.

View My Work → Get In Touch
Rutuja Padgilwar
About

Engineer who ships end to end

I'm a software engineer with 5+ years of experience across backend development, cloud infrastructure, and applied AI. Currently a Forward Deployed Engineer at BrokerHQ AI, I work directly with users to turn ambiguous business problems into production software.

My recent work centers on GenAI systems that hold up in production — LangGraph-orchestrated agents, RAG pipelines with source grounding and confidence thresholds, Redis caching strategies that cut LLM costs 70%, and the APIs and infrastructure underneath. Before that, I built healthcare applications serving 100,000+ patients and enterprise microservices at Infosys.

I hold an M.S. in Computer Science from Portland State University (GPA 3.8) and love owning features from architecture through deployment and monitoring.

5+Years of Experience
10K+Companies Analyzed Daily by My AI Agents
70%LLM Cost Reduction via Caching
100xPage Speedup (4s → 30ms)
Career

Work Experience

May 2025 — Present

Forward Deployed Engineer · BrokerHQ AI

Remote, USA
  • Architected an AI-powered broker copilot — Python/FastAPI backend, React frontend — centralizing SEC insights, news, financials, and hiring signals for commercial real estate brokers.
  • Built 7 LangGraph-orchestrated AI agents analyzing 10,000+ companies daily — work that previously took brokers a full day per company.
  • Designed RAG pipelines over SEC filings with source-grounded responses and confidence-based retry loops, cutting research from hours to minutes.
  • Cut LLM costs ~70% via prompt decomposition, Redis caching (60–65% hit rate), and model routing; reduced key page loads from 4s to ~30ms (100x) at 100K+ requests/day.
  • Shipped predictive lead-gen models forecasting tenant relocations 8–12 months ahead; scaled on AWS with Docker + GitHub Actions CI/CD.
PythonFastAPILangGraphRAGRedisAWSReact
May 2024 — May 2025

Software Engineer · Global Tech Teams

Bellevue, WA, USA
  • Led backend engineering for a patient dashboard serving 100,000+ patients — Python/FastAPI microservices, GraphQL experience layer, React/TypeScript UI — cutting data retrieval time 30%.
  • Built a real-time Kafka notification system for medication schedules (hourly → 5-min cycles, −40% manual tracking) and batched category APIs for ~56% faster responses.
  • Built AI-powered prescription recommendation models (Python, SQL, LLMs) and automated QA achieving 95% pre-production bug detection.
PythonFastAPIGraphQLKafkaReactAWS
Jun 2021 — Jul 2022

Software Engineer · Infosys

Pune, India
  • Led backend migration of an internal networking tool to cloud-native microservices, cutting client onboarding time 60%.
  • Built distributed REST APIs sustaining 99.9% uptime with a 30% increase in concurrent users; implemented OAuth 2.0 security.
JavaMicroservicesREST APIsOAuth 2.0
Jun 2019 — Jun 2021

Software Developer · Mindbowser

Pune, India
  • Spearheaded an AI recommendation system (Python, TensorFlow, Keras) that lifted user engagement 50%.
  • Deployed a serverless AWS inventory management system, cutting downtime 20%; integrated secure payment APIs (+15% success rate).
PythonTensorFlowAWS Lambda
Portfolio

Featured Projects

PSU HelpBot

PSU HelpBot — RAG Q&A System

Question-answering system for PSU graduate programs using LangChain + OpenAI LLMs. RAG pipeline with similarity search and MMR, evaluated with BERTScore and RAGAS — 87% answer accuracy.

LangChainRAGOpenAIStreamlit
Live DemoGitHub
Consumer complaint NLP classifier

Consumer Complaint NLP Classifier

NLP system classifying 625K+ CFPB consumer complaints into five product classes — 84% accuracy with XGBoost, plus BERT/GPT-2 transfer-learning baselines and a Flask UI.

NLPBERTXGBoostFlask
GitHub
National Park chatbot

National Park Chatbot & Voice Assistant

Conversational AI over the National Park Service and OpenWeather APIs — Dialogflow ES voice/chat, Flask webhook backend, deployed on Render with real-time alerts, activities, and weather.

DialogflowFlaskREST APIs
Live DemoGitHub
National Park Dashboard

National Park Dashboard

Interactive React dashboard for 55+ U.S. national parks — 5-day forecast line charts, state comparisons, 3D alert pie charts, and Google Maps integration with Redux state management.

ReactD3.jsChart.jsRedux
Live DemoGitHub
ASL dataset website

ASL/ISL Sign Language Platform

CNN models (TensorFlow, OpenCV) translating sign language to text in real time with 60%+ cross-dataset accuracy, plus a React + Firebase site for collecting a 50-category video dataset.

TensorFlowOpenCVReactFirebase
Live Demo
Book recommendation system

Book Recommendation System

Collaborative-filtering recommendation engine suggesting books across five categories — similar titles, authors, publishers, places, and years — with a Flask front end.

PythonFlaskCollaborative Filtering
Live DemoGitHub
Toolbox

Technical Skills

⌨️ Languages

PythonJavaSQLJavaScriptTypeScript

⚙️ Backend

FastAPISpring BootNode.jsFlaskDjangoREST APIsGraphQLMicroservices

🤖 AI / GenAI

LLMsRAGLangChainLangGraphAgentic WorkflowsRAGASBERTScoreLLM Cost OptimizationTensorFlowNLP

☁️ Cloud & Data

AWSLambdaEC2S3RDSRedshiftKafkaPostgreSQLMongoDB

🎨 Frontend

ReactReact NativeVue.jsChart.jsBootstrap

🚀 DevOps & Testing

DockerKubernetesGitHub ActionsJenkinsPyTestJUnitSelenium
Recognition

Awards & What Colleagues Say

🏆 Insta Award — Infosys

Awarded for exceptional performance and rapid mastery of complex tasks — earned after taking full ownership of a senior engineer's workload during a critical project phase, delivering both workstreams on time.

🥇 Top 5 of ~24,000 Teams — Uber HackTag

Led a 3-person team to a top-5 finish in the Grand Finale of Uber India's HackTag hackathon (2021), competing against roughly 24,000 teams.

💬 Recommendation

"She showed exceptional skills for UI development, design and development of backend services… She was our leader for the project of 3 people; she showed incredible leadership which helped us in securing this finish. She is a great teammate to work with and will be a valuable asset to your organization."

— Chetan Rahane, Backend Developer (AWS · System Design) · via LinkedIn

Contact

Let's Build Something Together

I'm open to Software Engineer, Backend Engineer, and Forward Deployed Engineer roles. My inbox is always open — whether it's an opportunity, a question, or just tech talk.

✉ Email Me LinkedIn GitHub