Adrien David

Lead Engineer — Labstr

Voice-led AI qualitative-research platform for pharma: AI-conducted voice interviews with physicians and patients, automated transcription, theme extraction with verbatim support.

• Working on grounded factuality for automatic analysis of survey results, with a pipeline combining determinist checks and NLI models.
• Led R&D on theme detection in interview and survey results using embeddings and vector search: literature review through tech specs to initial implementation, structuring survey results for optimal ingestion.
• Contribute to application and backend development across the platform.

• TypeScript
• Node.js
• NLP
• Voice AI
• LLM
• Python
• RAG
• Vector search
• AWS

Fractional CTO & Lead Engineer — Hostvana

Configurable automation platform for vacation-rental property managers: NLP-driven guest messaging plus API integrations for smart locks, guest filters, upsells, cleaning schedules and supply management

• Sole technical owner alongside the CEO across two engagements spanning 6+ years: designed, built, maintained and evolved the platform end-to-end, setting pragmatic architecture from business needs, resource constraints and maintainability.
• NLP pipeline (Google NLP, Langue Translation, DeBERTa-based custom trained classifier, Contextualization, NLG with LLM stages and actions). Owned the classifier as production infrastructure: training image, classifier server, retraining workflow.
• Ran the full CI/CD, deployment and DevOps setup: server scaling, metrics reporting, dashboard monitoring and alerting.
• API integrations with property-management software, smart locks, payment systems, Google calendar, Twilio and more.
• Translated ambiguous business goals into product scope, balancing technical debt and time to market, and contributed to end-user pricing and marketing/positioning strategy with the CEO.

• Node.js
• NLP
• Python
• Vue.js
• GCP
• Google NLP
• API integrations
• LLM

Independent Engineer — Coyle Acoustics Research Lab (Rollins College)

Designed and scheduling system for acoustic data-acquisition on rocket launch noise, synced with the LL2 database of space launches.

• TypeScript
• Node.js
• Data acquisition
• Acoustics

Software Engineer — LivePerson

Semantic search engine for knowledge retrieval.

• Designed, built and evaluated a semantic search engine pairing Transformer-based content encoding with vector search in Elasticsearch (with one colleague, end-to-end).
• Packaged and deployed it as an independent Python microservice on LivePerson's Kubernetes clusters; ran performance analysis to dimension the service for production load.
• Pre-release quality evaluation showed it outperformed the existing classifier-based and text-search retrieval - with none of the per-customer model training those systems require. The engine shipped to production shortly after my tenure.

• Python
• NLP
• Transformers
• Elasticsearch
• Kubernetes
• Vector search

Lead Backend Developer — Deeploop

AI-powered sales-automation platform.

• Led backend development (Python/Node.js) of a platform that acted on natural-language signals to time and automate prospect outreach, integrating with leading CRM, accounting and scheduling APIs.
• Managed one backend engineer; worked cross-functionally with the UI lead dev, product manager and CEO.

• Python
• Node.js
• NLP
• Elasticsearch
• CRM integrations
• API

Adjunct Professor — Rollins College

Taught two undergraduate evening CS courses (Hamilton Holt School)

• Introduction to Java
• Data Structures in Java.

• Java
• Teaching
• Data structures
• Education

Full-Stack JavaScript Developer — 360Learning

One of four JS engineers on a collaborative SaaS LMS; owned features across business logic, data models and front-end; shipped the platform's statistics module

• Node.js
• JavaScript
• MongoDB
• Education

Performance Analyst — Intel - Mobile & Communications Group

AUSY-employed junior consultant embedded full-time in Intel MCG's Power & Performance Software Architecture Team.

• Power & performance analysis of Intel Atom mobile platforms on Android/Linux.
• Co-designed and built a Python automation farm that scaled the team's growing PnP analysis workload.

• Python
• Linux
• Kernel
• Android
• Performance analysis
• Data analysis

Embedded Systems Engineer — CNRS — Laboratoire de Mécanique et d'Acoustique

Final-year engineering internship in a Musical Acoustics research lab

• Designed and programmed lightweight embedded acquisition systems capturing musicians' playing parameters, replacing heavy, expensive lab equipment for acoustics researchers.

• Embedded C
• Data acquisition
• Acoustics
• ARM Mbed

2010 – 2013 — Earlier experience

Work experience during engineering studies:

• Led a 4-student team building an end-to-end public-lighting monitoring system for SNEF [sensors → central server -> web dashboard] (6 months)
• Junior-enterprise web development at M-GaTE (1 month)
• Cleanroom quality control at STMicroelectronics (1 month)

• PHP
• Symfony
• IoT
• Fab