Rahul Sharma

SWE at Meta + NLP/DL/ML focus implies daily AI tool use for coding, research, and analysis.

Likely uses advanced prompting for code gen and research, but no explicit workflows or custom GPTs shown.

Meta SWE role strongly suggests using AI coding assistants (Copilot, Code Llama) for prototyping and shipping.

NLP/ML specialization at Meta implies hands-on API integration for data enrichment and classification tasks.

No direct evidence of multi-step agents or RAG, but ML engineering background makes it a plausible adjacent skill.

GTM and growth leader experience at DoorDash/PepsiCo suggests you've shipped AI features to real users.

Published NLP research and DL specialization indicate hands-on fine-tuning and custom model work.

Meta scale implies exposure to inference serving, but no specific LLMOps or vector DB evidence.

Co-authored publications on sentiment analysis, Alzheimer's prediction, and fairness are strong research signals.