S

Sai Kiran Burle

Lead ML Engineer

San Francisco, California, United States8 yrs 10 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in fine-tuning large language models.
  • Led machine learning initiatives at top tech companies.
  • Strong background in recommendation systems and fraud detection.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI-driven solutions for Fintech and SaaS industries.

Contact

LinkedIn

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Applied Machine LearningRecommender SystemsData Science

Other Skills

Post-training for Claude AILarge Language Models (LLM)Machine Learning for payment fraudTech Lead of ML PlatformRecommendations teamsRecommendation ModelsAnomaly detectionRecommendation systemsPython (Programming Language)Distributed SystemsMLOpsCloud ComputingScalabilityProgrammingWeb Design

About

I work on post-training/fine-tuning of Large Language models at Anthropic. Previously, I worked on ML for Payment Intelligence (Stripe) and Recommender systems (Scribd/Roku).

Experience

8 yrs 10 mos
Total Experience
1 yr 11 mos
Average Tenure
2 yrs 4 mos
Current Experience

Anthropic

Member of Technical Staff

Jan 2024 – Present · 2 yrs 4 mos · San Francisco, California, United States

  • Post-training for Claude AI.
Post-training for Claude AIMachine LearningArtificial Intelligence (AI)

Stripe

Software Engineer, Machine Learning

Jan 2021 – Jan 2024 · 3 yrs · San Francisco Bay Area

  • 2023-2024: Large Language Models (LLM).
  • 2021-2023: Machine Learning for payment fraud.
Large Language Models (LLM)Machine Learning for payment fraudMachine LearningApplied Machine Learning

Scribd

Staff ML Engineer

Jan 2019 – Jan 2021 · 2 yrs · San Francisco, California, United States

  • Tech Lead of ML Platform and Recommendations teams.
Tech Lead of ML PlatformRecommendations teamsRecommender SystemsMachine Learning

Roku inc.

Senior Machine Learning Engineer

Oct 2018 – Oct 2019 · 1 yr · San Francisco Bay Area

  • Recommendation Models
Recommendation ModelsRecommender SystemsMachine Learning

Celect, inc.

Machine Learning Engineer

Jul 2017 – Oct 2018 · 1 yr 3 mos · Greater Boston Area

  • Anomaly detection and Recommendation systems.
Anomaly detectionRecommendation systemsMachine LearningData Science

Education

Indian Institute of Technology, Bombay

Bachelor's Degree — Electrical Engineering

University of Illinois Urbana-Champaign

Master’s Degree — Electrical and Computer Engineering

Stanford University

Doctor of Philosophy - PhD

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