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Applied AI Lead
Applied AI Lead Delivers vision, speech, audio, genomics, and natural language processing (NLP) production ready AI projects. Note to recruiters: please attach salary range for non FAANGs, thank you ! Keywords: Agentic AI, Custom AI agents, fine-tuning LLMs, Transformers, Foundation Models, ClaudeCode, OpenCode, LangChain, LangGraph, LLamaIndex, llama.cpp, VLLM, RLHF, GRPO, LoRA, PEFT, DPO, LLM, BERT, GPT, Diffusion, Convolutional Networks (CNN), Recurrent Networks (RNN, LSTM), generative adversarial networks (GAN), Variational autoencoders (VAE), Reinforcement Learning (RL), AI-driven Solutions, AI Integration, AI Research Projects, AI Modeling, AI models evaluation, AI scalability, Large Language Models, Reinforcement Learning, PyTorch, Tensorflow, MLX, Artificial Intelligence Research, Technical Leadership, 0-1 zero-to-one ML GenAI, AI ML team building, end-to-end AI solutions, Applied AI, Lead ML Engineer, Deep Learning Expert, GenAI engineer, AI Strategist, Senior Staff Principal ML AI.
Gheorghe Asachi Technical University of Iași
Master of Science - MS, Computer Engineering
N/A – Present
EOMMEX
EU Management Certificate, Business Administration and Management, General
N/A – Present
Stealth AI Startup
AI Lead
January 1, 2025 – Present
GRAIL, Inc.
TL Machine Learning
September 1, 2017 – September 1, 2024
San Francisco Bay Area · On-site
Research and Machine Intelligence
March 1, 2016 – August 1, 2017
San Francisco Bay Area
Apple
R&D - Computer Vision & Machine Learning
January 1, 2015 – March 1, 2016
Cupertino, CA
NetApp
Staff Systems Software Engineer
August 1, 2014 – December 1, 2014
Greater Pittsburgh Area
Cadence Design Systems
Senior Staff
May 1, 2005 – July 1, 2014
Greater Pittsburgh Area
Open AI Gym Reinforcement Learning
December 1, 2016 – February 1, 2017
DQN algorithm implementation.
ONTAP
September 1, 2014 – December 1, 2014
The Data ONTAP 8 unified storage OS provides nondisruptive operations, storage efficiency, and the seamless scalability of clustering for NetApp FAS and V-Series systems. Scale performance and capacity for both SAN and NAS—up to tens of petabytes—without reconfiguring running applications. Handle data growth and keep your business running nonstop with the #1 branded storage operating system.
ADE-XL
January 1, 2007 – January 1, 2014
The industry’s leading solution for analog simulation control and management.
NeoCircuit
January 1, 2005 – January 1, 2007
Automatic circuit sizing and optimization tool for custom digital, RF, and mixed-signal circuits
Cultural Fit Analysis
The candidate has a diverse background working at prominent technology companies (Google, Apple, NetApp, Cadence Design Systems) and a stealth AI startup, indicating adaptability to various corporate cultures. The project descriptions, though brief, suggest an interest in complex technical challenges. The long tenure at GRAIL (7 years) and Cadence Design Systems (9 years) indicates loyalty and ability to contribute long-term. The target role of 'ML Engineer' aligns well with the candidate's extensive experience in machine learning, deep learning, and AI leadership.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership roles (AI Lead, TL Machine Learning, Research and Machine Intelligence, R&D - Computer Vision & Machine Learning) and involvement in cross-functional teams. Skills like 'Stakeholder Management' and 'Engineering Leadership' suggest strong soft skills and operational fit for senior roles. The descriptions also imply a results-oriented approach ('Helping to save lives!', 'Making your life better!').