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Priyanka Paudel

@priyankapaudel

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Machine learning engineer with expertise in AI and software architecture.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my machine learning expertise to solve complex problems and contribute to impactful projects.

I am a dedicated Machine Learning Engineer with a strong background in artificial intelligence and software architecture. My journey began with a Master's in Computer Science and AI from the University of Missouri-St. Louis, where I honed my skills in machine learning and data analysis. I have successfully contributed to various projects, including reducing Word Error Rate in automatic speech recognition by 20-30% and improving background noise reduction in real-world audio recordings.

Throughout my career, I have worked with leading organizations like Fusemachines and FeatherWebs, where I developed robust machine learning pipelines and innovative solutions such as a RASA-based chatbot and an applicant tracking system. My experience also includes implementing face recognition technologies and architecting scalable web applications that significantly increased revenue for my previous employer. I am passionate about leveraging my skills to create impactful solutions that drive efficiency and enhance user experiences.

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Experience

Work history, roles, and key accomplishments

Current

Undergraduate Student Teacher

Current

University Of Missouri ST Louis

Aug 2024 - Present (1 year 3 months)

Independently instructed course Intro to Python Computing, covering fundamental programming concepts, data structures, and problem-solving techniques. Designed and delivered lectures, lab sessions, and coding sessions.

Data Structures Problem Solving Lecture Delivery

Graduate Teaching Assistant

University Of Missouri-ST Louis

Jan 2024 - Dec 2025 (1 year 11 months)

Assisted professors in grading assignments, exams, and projects for undergraduate courses. Conducted lab sessions and discussion sections, reinforcing course concepts for students.

Grading Discussion Sections Curriculum Development

Machine Learning Engineer

Fusemachines

Nov 2021 - Nov 2023 (2 years)

Worked on multichannel, multisource speech separation, reducing Word Error Rate (WER) by 20–30% in automatic speech recognition (ASR). Improved Source-to-Interference Ratio (SIR) by 12 dB, significantly reducing background noise in real-world audio recordings.

Speech Separation Speech Recognition Word Error Rate

Machine Learning Engineer

FeatherWebs

Aug 2023 - Oct 2023 (2 months)

Built a robust RASA-based chatbot with BERT fine-tuning for Named Entity Recognition (NER), Joint NER, and Question Answering tasks, achieving 85-90% accuracy. Developed an applicant tracking system that recommends job applicants to recruiters using resume parsing, segmentation, and matching.

Rasa BERT Named Entity Recognition

Computer Vision Engineer (R & D)

National Innovation Center

Jan 2021 - Nov 2021 (10 months)

Implemented face recognition using Azure Cognitive Services in Python with 90-95% accuracy, and developed robotic vision with the Face Recognition library. Fine-tuned computer vision tasks like object detection, segmentation, tracking, and depth estimation using PyTorch and Intel Depth Camera D435i.

Cognitive Services Python Face Recognition

Software Engineer

UptechSys

Aug 2019 - Feb 2020 (6 months)

Revised and architected Django REST APIs and AWS-based background workers to handle millions of daily requests, enabling third-party entities to extract data from unstructured documents with a scalable solution. Engineered web applications using front-end and back-end technologies: HTML5, CSS, JavaScript, and Django for retail stores and consultancies.

AWS Web Applications HTML5