Priyanka Dwivedi
Founder, CEO at Deep Learning Analytics
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.
9 years of coding experience
11 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 (16)
data-preprocessing10
mask-rcnn10
keras10
faster-rcnn10
machine-learning10
rnn-model10
nlp10
image-resizing10
deep-learning10
tensorflow10
image-resizer10
n10
python10
question-answering10
data-analysis9
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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