Priyanka Dwivedi
Senior Staff AI ML Engineer at MasterClass
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolPriyanka Dwivedi is a founder and CEO with nine years of hands-on experience building and productizing deep learning and Generative AI solutions, leading Deep Learning Analytics to deliver 100+ custom projects across NLP and computer vision. She combines applied research—evident from GitHub work on CNNs for object detection and BiDAF/R-Net question-answering models—with enterprise impact, having previously driven multimillion-dollar fraud and risk initiatives at Scotiabank and Capital One. Her firm specializes in LLM-based systems (RAG, intelligent agents, long-document summarization, fine-tuning, and synthetic data) while also addressing security and bias evaluation for real-world deployments. Trained at Stanford and Georgia Tech and grounded by an IIT Delhi engineering background plus CFA credentials, she bridges rigorous academic foundations with product-focused delivery and team building. An uncommon strength is her dual fluency in building prototypes (open-source model code) and scaling them into production-ready, compliant solutions for regulated industries.
10 years of coding experience
18 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Master of Technology - MTech Computer Science, Master of Technology - MTech Computer Science at Georgia Institute of TechnologyCFA, CFA at Chartered Financial Analyst (CFA)Artificial Intelligence Graduate Computer Science, Artificial Intelligence Graduate Computer Science at Stanford University
English
Github Skills (17)
image-resizing10
python10
machine-learning10
rnn-model10
image-resizer10
n10
data-preprocessing10
mask-rcnn10
keras10
deep-learning10
tensorflow10
question-answering10
natural-language-processing10
faster-rcnn10
nlp10
Programming languages (3)
Github contributions (5)
priya-dwivedi/Deep-Learning
Aug 2016 - Mar 2022
Role in this project:
Data Scientist
Data ScientistContributions:195 commits, 2 PRs, 147 pushes in 5 years 8 months
Contributions summary:Priyanka appears to be working on a deep learning project related to image analysis and object detection, likely for a Kaggle competition. The contributions mainly involve data preparation and model building. Specifically, the user created scripts to process image data, including resizing, and converting it into a usable format for model training. Furthermore, code was created to construct a convolutional neural network with appropriate layers, regularizations and optimization algorithms.
priya-dwivedi/cs224n-Squad-Project
Mar 2018 - Mar 2018
Role in this project:ML Engineer
ML EngineerContributions:11 commits in 15 days
Contributions summary:Priyanka's commits focus on implementing and refining modules related to the BiDAF and R-Net architectures for a question-answering model. Their work involves defining CNN and RNN encoders, implementing bidirectional attention flow (BiDAF) and self-matching attention mechanisms, and integrating character-level embeddings for improved performance. The user also made changes related to highway layers and answer pointer modules.
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