Luiza Karapetyan
Founding AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Founding AI Engineer with 4+ years in Machine Learning, Voice AI, and Full-stack Development.
ML and full-stack engineer, technical co-founder of a clinical AI company. I've run a clinical decision-support system and a medical dictation tool in real production at Armenia's largest private hospitals, scaled the company to a six-figure ARR. Focused on on-device / edge voice AI inference, RAG, fine-tuning, and LLM routing for clinical and resource-constrained settings. Awarded 2nd place + Technical Depth at YC × Cactus × DeepMind Voice Agents Hackathon.
Synopsys Armenia Educational Department
Software Engineering, EDA
August 1, 2022 – June 30, 2024
42 School
Computer Science
August 1, 2021 – June 30, 2024
National Polytechnic University of Armenia
BSc · Software Engineering
August 1, 2020 – June 30, 2024
Doccy
Co-founder
January 1, 2023 – Present
Yerevan, Yerevan Province, Armenia
Spectre
ML engineer
January 1, 2022 – December 31, 2022
India
Voice AI Co-pilot
January 1, 2026 – June 1, 2026
Real-time, on-device clinical voice assistant built on Gemma with a novel 6-layer hybrid routing architecture for low-latency, privacy-preserving inference. Built on-site at YC HQ.
View ProjectMedical dictation Doccy
January 1, 2023 – June 1, 2026
Built and deployed an on-device ASR system for a low-resource language, <100ms latency.
HTTP Server project at 42
January 1, 2021 – December 31, 2024
A fully functional HTTP/1.1 web server implemented in C++98, using non-blocking I/O
View Project2nd place + Technical Depth award, Y Combinator × Cactus × DeepMind Voice Agents Hackathon (YC HQ)
Y Combinator × Cactus × DeepMind Voice Agents Hackathon
June 1, 2026 – Present
Synopsys 2023 GIRLS GO Engineering winner
Synopsys
January 1, 2023 – Present
TumoLabs 2023 Incubation program winner
TumoLabs
January 1, 2023 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for a founding AI engineer role, particularly in a startup environment. Their entrepreneurial background, demonstrated by co-founding a company and scaling it to six-figure ARR, aligns perfectly with the initiative and drive required. The diversity of projects, from medical AI to autonomous drone systems and a low-level HTTP server, showcases a broad technical curiosity and ability to tackle varied challenges. Participation in hackathons and incubation programs further indicates a proactive, innovative, and growth-oriented mindset. The focus on 'on-device / edge AI inference' and 'resource-constrained deployment' aligns with practical, impactful engineering.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, initiative, and a results-oriented mindset through their co-founder role and successful product deployments. Their ability to manage B2B sales, account strategy, and ROI analytics indicates a comprehensive understanding of business operations. The experience in resource-constrained environments and building systems from scratch suggests adaptability and resilience, crucial for a founding role. Collaboration is implied through team leadership and partnership integration.