ML Infrastructure & GenAI
Building LLM-powered tools at Airbnb — 30+ model integrations, PII pipelines, data labeling platforms serving ML teams org-wide.
Cloud & Platform Engineering
AWS, GCP, Docker, Kubernetes, Airflow, OpenShift — production systems at Airbnb, Shell, Southwest Airlines, and Eli Lilly.
Certifications & Recognition
AWS Solutions Architect, AWS Developer, GCP Data Engineer, Oracle Java & Database certified. Multiple Airbnb peer appreciations (2026).
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Years Experience
Rows/Run at Airbnb
LLM Models Integrated
Pageviews/Month (Shell)
Sr. Software Engineer — ML Infrastructure
Built BPI Virtual Analyst — a 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). Led Redpen label export upgrade targeting 80% runtime reduction.
Python · Streamlit · Flask · Celery · Airflow · Labelbox · Presidio · AWS · OTEL
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Sr. Software Engineer (via ThriveOn Solutions)
Built and maintained the Dose Management System (DMS) — full-stack healthcare portal for medication management. Java/Spring Boot backend, React frontend, deployed on OpenShift OCP across dev/QA/prod environments.
Java · Spring Boot · React · OpenShift · PostgreSQL · GitHub Actions
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Sr. Software Engineer (via ThriveOn Solutions)
Architected deployment and testing automation pipelines. Containerized services with Docker + Kubernetes. Secure data management with Datadog monitoring. Statistical analysis and regression models on large datasets.
Python · Docker · Kubernetes · AWS · Datadog · Flask
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Sr. Python Developer (via ThriveOn Solutions)
Built API service handling 17M pageviews/month at 94% cache efficiency. Cleared 200+ bottlenecks; app 5× faster after refactor. Improved NLP accuracy 86% → 94%. Deployed ML models on AWS SageMaker. Published at SPE ATCE Conference.
Python · PySpark · Azure Databricks · AWS SageMaker · MLFlow · Flask · Docker · Jenkins
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Data Engineer
Built ERP analytics dashboard across 13 business units; boosted client activity by 20%. Automated PIP process — saved 600+ monthly work hours. Built real-time fraud detection pipeline using Kafka. Best Performer Q3 2018.
Python · Java · Oracle Cloud HCM · Kafka · ELK Stack · AWS · Flask · PostgreSQL
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Indian Patent Office — Application No. 202541026299
Sai Likhith Kanuparthi, Sai Yasaswini Majety (Inventors)
Architectures for lightweight, parameter-efficient adapters enabling models to transfer knowledge dynamically across disparate domains without catastrophic forgetting. Aligns with frontier modular DL research (Google Modular Deep Learning survey, Microsoft US10235994B2). IPC: G06N 3/08, G06N 3/045, G06N 3/096, G06N 3/084, G06N 20/00.
SPE ADIPEC 2022 (Abu Dhabi) — SPE-210986-MS
Jie Chen, Changqing Yao, Pandu R. Devarakota, Mohamed Sidahmed, Zexuan Dong, Sai Kanuparthi, Jia Wei
Reusable, platform-independent ML framework for energy applications supporting local, Docker, and HPC environments. Co-authored with Shell's top ML researchers (lead author h-index 69, 21,611 citations). Demonstrated cost + turnaround time savings in production.
IEEE Xplore (ICoACT 2023) — Document ID: 11004721
Sai Likhith Kanuparthi, Naresh Kumar
Analyzes NLP architectures (LSTMs, Transformers) applied to online harassment detection and discusses the transition to real-time generative counters. Indexed in IEEE Xplore with DOI.
A Case-Based Study of State Space Models in Health Care: The New Transformers (Ch. 1)
Ria Ghosh, Rajeev Kumar, Sai Likhith Kanuparthi
Traces the development of State Space Models (SSMs) from control theory and signal processing to modern ML applications. Covers SSM applications in predictive maintenance, financial forecasting, and healthcare. Opening chapter of a Cambridge Scholars book.
Harnessing Generative AI to Combat Cyberbullying in Industry (Ch. 7) — ISBN 978-1-0364-5866-9
Sai Likhith Kanuparthi, Ria Ghosh, Meetu Malhotra, Naresh Kumar
Proposes next-generation AI moderation frameworks targeting positive reinforcement, agentic defense networks, and proactive intervention. Published in a 468-page edited volume on Generative AI for online safety.
Harnessing Generative AI to Combat Cyberbullying in Industry (Ch. 4, p. 200)
Sai Likhith Kanuparthi, Naresh Kumar
Reviews the failure modes of classical machine learning and heuristic models in high-dimensional text streams, proving why deep autoencoders and generative moderation are required.
2025 International Conference on Advanced Computing Technologies (ICoACT) — Accepted
Preetish Kakkar, Shiwam Mittal, Sethuraman Ulaganathan, Tamilarasan Kannadasan, Sai Likhith Kanuparthi
Synthesizes the architecture requirements for digital twin synchronization, Edge AI data routing, and VR interface streaming under Metaverse frameworks.
Phytomedicine (Elsevier) — Under Review
Jaswanth Krishna Boddupalli, Vijaya Bhaskar Reddy Pichili, Sai Likhith Kanuparthi, Kiranmai Chadipiralla
Employs PCA, machine learning categorization, and metabolic profiling to isolate active compounds in JA/SA-elicited plant suspension cultures. Submitted to Elsevier's top phytotherapy journal (IF ~6.0).
AWS Certified Solutions Architect — Professional
Amazon Web Services
AWS Certified Developer — Associate
Amazon Web Services
AWS Certified Machine Learning — Specialty
Amazon Web Services
Microsoft Certified: Azure Data Scientist Associate (DP-100)
Microsoft
MS in Computer Science
New York University
New York, NY · GPA 3.69 / 4.0
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B.Tech in Electronics & Communication Engineering
Jawaharlal Nehru Technological University
Andhra Pradesh, India · GPA 4.0 / 4.0
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My work
Real-world projects showcasing skills across GenAI, ML infrastructure, full-stack development, and cloud platforms.
Large-scale internal tooling using Flask, Celery, Labelbox, and Redis. Engineered robust data pipelines with SQLAlchemy and Alembic for model evaluation workflows.
GenAI 5-step LLM wizard integrating 30+ models. Scaled to 10,000 rows/run for ~55 analysts. Presidio PII pipeline, AI clustering, Insight Miner.
Full-stack healthcare portal for medication management. Java/Spring Boot backend, React frontend, deployed on OpenShift OCP across clinical environments.
Computer Vision and NLP application built to assist visually impaired individuals. Winner at HackNYU.
ML reusable framework for subsurface applications. Refactored Jupyter → Python package (5× faster). Deployed on AWS SageMaker. Published at SPE ATCE Conference.
Contact
I'm currently open to new opportunities. Whether you have a question, a project idea, or just want to say hi — my inbox is always open.
Email directly
sailikhithcse@gmail.comLocation
San Francisco, CA
