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.
GRE General Test: Quantitative Reasoning β 162; TOEFL iBT: 93 (C1 working proficiency); Graduate program applications: U.S. STEM tracks (successful)
Deliberate transition from short-term feature delivery to building deep theoretical and architectural foundations for complex, distributed AI systems. Structured a self-directed academic curriculum aligned with graduate-level STEM programs and real-world system design challenges. Focused on distributed systems, complex systems, ML fundamentals, MLOps, AI safety, and incentive design. Developed independent systems project exploring orchestration, observability, reliability, and evaluation in distributed AI systems.
Designed and deployed transcription module improving accuracy by ~30% using OpenAI Whisper and Azure Speech-to-Text. Enhanced multi-speaker diarization reducing errors by 25%. Built modular FastAPI backend cutting latency by 40% and scaling to 10k+ daily requests. Automated workflow orchestration in n8n reducing manual document review time by ~50%. Authored multi-node Docker automation scripts reducing deployment time and supporting scaling to 35+ nodes. Deployed Dockerized systems with CI/CD via GitHub Actions reducing release cycle time by 35%. Delivered safety-first educational assistant backend integrating content filtering and multi-model orchestration, cutting moderation false negatives by 40%.
Advised cosmetic brands on positioning, education, and B2B sales strategies increasing market reach by up to 20%. Designed custom training programs for over 50 salons and professionals enhancing skill proficiency by 30%. Led workshops and webinars engaging over 1,000 participants boosting product adoption by 25%. Developed educational content and internal training systems improving knowledge retention by 40%. Maintained long-term client relationships with 90% retention rate.
Engineered educational programs for B2B clients and salon professionals increasing client engagement by 40%. Delivered over 50 training sessions boosting participant satisfaction by 25%. Collaborated with international brand reps to standardize training ensuring 100% consistency. Mentored junior educators and organized skill-up initiatives improving team performance by 30%. Customized global materials to local markets increasing adoption rates by 35%.
Directed internal team training programs increasing employee skills by 20%. Delivered international training sessions to 200+ participants improving global engagement by 30%. Partnered with sales and marketing to launch initiatives boosting lead generation by 25%. Orchestrated cross-functional projects completing 15% ahead of schedule. Strengthened client relationships increasing retention by 10%. Executed strategies improving team productivity by 18%.
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