I am a Junior AI Engineer and Python Developer with hands-on experience building production AI systems including speech-to-text, diarization, LLM pipelines, and automation. I focus on system-level thinking, balancing reliability, latency, accuracy trade-offs, and scaling constraints in real-world AI applications. Currently, I am deepening my foundations in distributed systems, complex systems, machine learning fundamentals, MLOps, and AI safety, aiming to grow into a systems-oriented AI engineer over the next 2 to 3 years.
I am passionate about joining a team where learning velocity, mentorship, and engineering culture are prioritized over short-term output. My recent work includes designing and deploying transcription modules, enhancing multi-speaker diarization, building modular FastAPI backends, and automating workflow orchestration to improve efficiency and accuracy in AI applications.
I have experience deploying systems in Dockerized environments with CI/CD pipelines using GitHub Actions, which has helped reduce release cycle times and ensure reliable rollouts. Additionally, I have developed safety-first educational assistant backends integrating content filtering and multi-model orchestration to reduce moderation errors.
Beyond AI engineering, I have worked as a freelance consultant and educator in the beauty industry, advising brands on positioning and sales strategies, designing training programs, and leading workshops to improve client engagement and skill proficiency. I have also held leadership roles in education, managing training programs and mentoring teams to enhance performance and consistency across markets.
My technical skills span programming in Python with frameworks like FastAPI, data science libraries, LLM and AI tools, retrieval and vector search technologies, workflow orchestration, infrastructure deployment, monitoring, and data engineering. I combine these with strong soft skills such as problem-solving, communication, collaboration, adaptability, and process optimization to deliver impactful results.
I am eager to apply my skills and continue growing in a challenging environment that values architectural thinking and long-term system design. I am committed to contributing to innovative AI projects while continuously expanding my expertise and impact.
