Peng Li

Data Analyst

https://www.opentalent.in/peng-li

Key Strengths

Extensive experience in Machine Learning, AI, and GenAI, particularly with LLMs, RAG, and multi-modal systems.
Proven leadership and management experience, leading large ML engineering teams and driving significant product growth.
Strong background in recommendation systems and personalization at scale (Instagram, Meta).
Deep technical expertise in areas like AI Embodiment, AI Search, and novel post-training techniques for LLMs.
Academic background includes Master's degrees in Computer Science (Machine Learning track) and Communication/Information Systems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive experience at Meta and Instagram, including roles as Tech Lead & Manager, demonstrates a strong fit for fast-paced, innovation-driven environments. Their work on large-scale, user-facing AI systems aligns with a culture focused on impact and advanced technology. However, the target role is 'Data Analyst', which is a significant mismatch with their senior-level ML/AI engineering and management background. This indicates a potential misalignment in career trajectory and expectations for the specific role.

Soft Skills & Operational Fit

The candidate's resume highlights leadership, team management, and driving product impact, suggesting strong operational fit and soft skills related to project execution and team guidance. Experience in pioneering new technologies (GenAI adoption) indicates adaptability and innovation.

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About

Hands-on Engineering Leader at Meta Superintelligence Lab (MSL) with 12+ years of experience shipping AI at scale to billions of users. Currently leading the development of emotionally intelligent AI companions and agentic systems. Previously led GenAI initiatives for Facebook Groups (Q&A Agents) and Recommendation Systems for Instagram/Messenger. Passionate about translating state-of-the-art research into production-quality products. Core Expertise: - LLM Post-Training: SFT, RLHF, Preference Optimization, and Curriculum-based fine-tuning. - Agentic Systems: Planning, Tool Use, Memory (Semantic + Procedural), and RAG/GraphRAG. - Data & Evaluation: Synthetic Data Generation, Human-in-the-loop Flywheels, and robust LLM-as-a-judge pipelines.

Top Skills

Machine LearningNatural Language ProcessingPythonAlgorithmsJavaOptimizationHadoopSQLScalaComputer VisionC++MatlabProject ManagementLinuxData Analysis

Education

Columbia University

Master's Degree, Computer Science, Machine learning track

January 1, 2014 – January 1, 2016

Fudan University

Master's Degree, Communication and Information Systems

January 1, 2010 – January 1, 2013

Fudan University

Bachelor's Degree, Communication Science and Engineering

January 1, 2006 – January 1, 2010

Experience

Key Strengths

Extensive experience in Machine Learning, AI, and GenAI, particularly with LLMs, RAG, and multi-modal systems.
Proven leadership and management experience, leading large ML engineering teams and driving significant product growth.
Strong background in recommendation systems and personalization at scale (Instagram, Meta).
Deep technical expertise in areas like AI Embodiment, AI Search, and novel post-training techniques for LLMs.
Academic background includes Master's degrees in Computer Science (Machine Learning track) and Communication/Information Systems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit