Agentic SDLC & AI Factories
End-to-end autonomous software engineering: code implementation, TDD, automated code review, issue triage, and on-call incident resolution.
I am a Sr. Machine Learning Engineer at Adobe and an MSc student in Natural Language Processing & Teaching Assistant at the University of Bucharest (where I also earned my BSc in Computer Science). Right now at Adobe, I am building an end-to-end AI Factory that autonomously implements every aspect of the Software Development Lifecycle (SDLC)—spanning code implementation, test-driven development (TDD), automated code review, issue triage, and on-call incident resolution.
Prior to this, I architected a large-scale experimentation platform powered by AI agents for automated, customer-tailored generative A/B testing—work that contributed to three US patent filings—alongside LLM-driven product intelligence systems. Earlier in my career at Adobe, which I joined at age 15, I worked on Account IQ developing fraud prevention, ranking/recommendation algorithms, and MLOps pipelines.
Research & Engineering Interests
Core Focus AreasExperimentation & Bandits
Large-scale experimentation platforms orchestrating automated, customer-tailored generative A/B testing and multi-armed bandit algorithms.
NLP, LLMs & Applied GenAI
Natural Language Processing, Retrieval-Augmented Generation (RAG), multi-agent orchestration, and domain-adapted Large Language Models.
RL, Ranking & Distributed ML
Deep Reinforcement Learning, personalized recommendation & ranking algorithms, MLOps pipelines, and behavioral anomaly detection.
Affiliations
Industry & AcademiaAdobe
Sr. Machine Learning Engineer
- Developing an end-to-end AI Factory that implements every stage of the SDLC: autonomous code implementation, TDD, code reviewing, issue triage, and on-call incident resolution.
- Architected a large-scale experimentation platform leveraging AI agents for automated, customer-tailored generative A/B testing—contributing to 3 US patent filings—alongside LLM-powered product intelligence.
- Previously worked on Account IQ, developing fraud prevention systems, ranking/recommendation algorithms, and production MLOps infrastructure.
University of Bucharest
Faculty of Mathematics and Computer Science
- Currently pursuing an MSc in Natural Language Processing at the University of Bucharest.
- Teaching Assistant — Software Development Methods Lab: Teaching students how to leverage AI to build applications (AI in software development) and how to engineer AI applications (software development for AI).
- Graduated with a BSc in Computer Science, focusing on core AI subjects including Machine Learning, Deep Learning, Natural Language Processing, and Reinforcement Learning.
Let's Connect
Open to discussions on agentic SDLC systems, applied AI research, speaking engagements, and engineering collaborations.