# Sai Likhith Kanuparthi > Senior Software Engineer — ML Infrastructure & AI Engineering at Airbnb. Building GenAI platforms, data labeling infrastructure, and agentic memory systems at scale. NYU MS Computer Science. 8+ years shipping production systems across ML infrastructure, LLM orchestration, backend APIs, cloud data pipelines, and full-stack web applications. ## Identity - Full Name: Sai Likhith Kanuparthi - Role: Senior Software Engineer — ML Infrastructure & AI Engineering - Employer: Airbnb (San Francisco, CA) - Email: sailikhithcse@gmail.com - Location: San Francisco, California, USA - Portfolio: https://sailikhith.me - Airbnb Portfolio: https://airbnb.sailikhith.me - GitHub: https://github.com/sailikhithk - LinkedIn: https://www.linkedin.com/in/sailikhithk - Medium: https://medium.com/@sailikhith - DEV.to: https://dev.to/sailikhithk - ResearchGate: https://www.researchgate.net/profile/Sai-Likhith-Kanuparthi - LeetCode: https://leetcode.com/sailikhith - HackerRank: https://www.hackerrank.com/sailikhithcse - Twitter / X: https://twitter.com/codewithsai ## Work Experience ### Airbnb — Senior Software Engineer, ML Infrastructure (Sep 2024 – Present) - Built BPI Virtual Analyst: 5-step LLM wizard integrating 30+ models (GPT-4o, Claude, Gemini, Llama), used by ~55 analysts. Scaled from 600 → 10,000 rows/run. - Built Presidio PII pipeline (30% faster detection). Led Redpen label export upgrade targeting 80% runtime reduction. - Stack: Python, Streamlit, Flask, Celery, Airflow, Labelbox, Presidio, AWS, OpenTelemetry ### Eli Lilly — Senior Backend / Full-Stack Engineer (Feb 2024 – Aug 2024) - Dose Management System for clinical trials. SAP migration. 21 CFR Part 11 compliance. - Stack: Java, Spring Boot, React, SAP, PostgreSQL, Azure ### Southwest Airlines — Senior Backend / Full Stack Application Engineer (Jan 2023 – Jan 2024) - Flight dispatch system handling 4M requests/min. Distributed lock for flight assignment. - Stack: Java, Spring Boot, Kafka, Redis, Kubernetes, AWS ### Shell — Senior Python Backend / Data Scientist (Jun 2021 – Dec 2022) - NLP platform processing 17M pageviews/month. Accuracy 86% → 94%. ML framework published at SPE ADIPEC 2022. - Stack: Python, TensorFlow, Kubernetes, AWS SageMaker, Docker ### Oracle — Backend Developer / Data Engineer (Aug 2017 – Jul 2019) - ERP analytics across P2P + O2C for 13 business units. Workflow automation. - Stack: Java, Oracle DB, PL/SQL, Kafka, Spring Boot ## Education - **MS Computer Science** — New York University (Aug 2019 – May 2021), GPA 3.69 - **B.Tech Electronics & Communication Engineering** — JNTUA (Aug 2013 – May 2017), GPA 4.0 ## Patents ### Modular Deep Learning Architecture for Cross-Domain Transfer and Incremental Learning - Application No: 202541026299 - Status: Published (INA) - Filed: March 21, 2025 - Published: March 27, 2025 (Publication No. 13/2025) - Inventors: Sai Likhith Kanuparthi, Sai Yasaswini Majety - Jurisdiction: Indian Patent Office - IPC: G06N 3/08, G06N 3/045, G06N 3/096, G06N 3/084, G06N 20/00 - Field: Modular Deep Learning / Continual Learning / Cross-Domain Transfer ## Publications ### Full-Stack Machine Learning Development Framework for Energy Industry Applications - Venue: SPE ADIPEC 2022 (Abu Dhabi) — SPE-210986-MS - Publisher: Society of Petroleum Engineers - Year: 2022 - Citations: 6 - Lead author h-index: 69 (Jie Chen, Shell) - DOI: https://doi.org/10.2118/210986-MS ### Role of Artificial Intelligence to address Cyberbullying and Future Scope - Venue: IEEE Xplore (ICoACT 2023) — Document ID: 11004721 - Publisher: IEEE - Year: 2023 - DOI: https://doi.org/10.1109/ICoACT57570.2023.10118947 ### The Evolution and Rise of State Space Models in AI (Book Chapter, Ch. 1) - Book: A Case-Based Study of State Space Models in Health Care: The New Transformers - Publisher: Cambridge Scholars Publishing - Year: 2025 ### Future Trends in AI for Cyberbullying Preventions (Book Chapter, Ch. 7) - Book: Harnessing Generative AI to Combat Cyberbullying in Industry — ISBN 978-1-0364-5866-9 - Publisher: Cambridge Scholars Publishing - Year: 2025 - Pages: 468 ### Why Traditional AI Methods Fail in Advanced Anomaly Detection (Book Chapter, Ch. 4) - Book: Harnessing Generative AI to Combat Cyberbullying in Industry — ISBN 978-1-0364-5866-9 - Publisher: Cambridge Scholars Publishing - Year: 2025 ### Advancing the Metaverse: The Convergence of Digital Twins, AI, and Emerging Technologies - Venue: 2025 International Conference on Advanced Computing Technologies (ICoACT) — Accepted - Year: 2025 ### FT-IR and GC-MS Metabolomic Fingerprinting of Caralluma fimbriata - Venue: Phytomedicine (Elsevier) — Under Review - Year: 2026 - Impact Factor: ~6.0 ## Technical Skills - **Languages**: Python, TypeScript, Java, SQL, Go - **ML/AI**: TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI, Anthropic, LLM orchestration - **Backend**: Flask, FastAPI, Spring Boot, Celery, Airflow, Kafka, Redis - **Frontend**: React, Next.js, Streamlit, TypeScript - **Data**: PostgreSQL, Oracle DB, MongoDB, Elasticsearch, Pandas, scikit-learn - **Cloud/DevOps**: AWS (SageMaker, S3, Lambda, ECS), GCP, Kubernetes, Docker, Terraform, Vercel - **Observability**: OpenTelemetry, Grafana, Prometheus - **Data Labeling**: Labelbox, Presidio, Redpen ## Key Projects - **BPI Virtual Analyst (Airbnb)**: 5-step LLM wizard, 30+ models, ~55 analysts, 600→10K rows/run - **Presidio PII Pipeline (Airbnb)**: 30% faster PII detection - **Redpen Label Export (Airbnb)**: 80% runtime reduction target - **Dose Management System (Eli Lilly)**: Clinical trials, SAP migration, 21 CFR Part 11 - **Flight Dispatch System (Southwest)**: 4M req/min, distributed lock - **NLP Platform (Shell)**: 17M pageviews/month, 86%→94% accuracy - **ERP Analytics (Oracle)**: P2P + O2C, 13 business units ## Optional - [Portfolio](https://sailikhith.me) - [Airbnb Portfolio](https://airbnb.sailikhith.me) - [Plain-text profile (llm.txt)](https://sailikhith.me/llm.txt) - [Sitemap](https://sailikhith.me/sitemap.xml)