Jonathan Miranda
@jonathanmiranda
Senior AI/ML engineer specializing in production-scale LLM and speech systems.
What I'm looking for
I am a Senior AI/ML engineer with an MSc in Computer Science and over eight years building production-scale deep learning solutions across LLM applications, speech processing, and computer vision. I have architected RAG-based systems, conversational AI platforms, and multimodal solutions using state-of-the-art models (GPT, Claude, LLaMA, Whisper) and delivered measurable business impact.
I bring deep expertise in PyTorch and TensorFlow, strong MLOps capabilities across AWS, Azure, and GCP, and proven leadership mentoring engineering teams and establishing robust deployment pipelines. Notable achievements include leading RAG risk-assessment systems, fine-tuning Whisper for a 2.6% WER ASR, and building multimodal Azure OpenAI solutions achieving 92% structured-data extraction accuracy.
Experience
Work history, roles, and key accomplishments
Senior LLM Engineer
HatchWorks AI
May 2023 - Aug 2025 (2 years 3 months)
Led development of RAG-based risk assessment and task generation systems using LLaMA 3.2 and Pinecone, built conversational AI integrations via Claude 3.5 Sonnet on AWS Bedrock, and delivered multimodal GPT-4o vision solutions achieving 92% structured data extraction and 70% faster processing.
Senior ML Engineer
Biz4Group
Sep 2021 - May 2023 (1 year 8 months)
Led ASR engineering by fine-tuning Whisper-large-v2 on a 3,000-hour corpus to achieve 2.6% WER, adapted models for clinical transcription, and developed speech enhancement and VAD systems with 92.5% F1-Score.
AI Software Engineer
Biz4Group
Jan 2019 - Aug 2021 (2 years 7 months)
Developed and deployed multiple deep learning systems (speaker verification, age/gender recognition, speech recognition, emotion recognition, liveness detection) using PyTorch and TensorFlow for production.
Computer Vision Engineer
Omron Robotics
Jan 2017 - Jan 2020 (3 years)
Designed and deployed industrial inspection and pick-and-place vision systems for manufacturing quality control, improving detection accuracy and production efficiency across multiple inspection products.
Education
Degrees, certifications, and relevant coursework
California Polytechnic State University, San Luis Obispo
Master of Science, Computer Science
2015 - 2016
Completed a Master of Science in Computer Science with advanced coursework and projects in machine learning and deep learning.
California Polytechnic State University, San Luis Obispo
Bachelor of Science, Computer Science
2011 - 2015
Completed a Bachelor of Science in Computer Science with foundational training in algorithms, programming, and systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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