
ML Engineer @ Dragonfruit AI
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dragonfruit-ai
Data Scientist
June 20, 2026 – Present
omarchy-sol-theme
December 14, 2025 – December 14, 2025
omarchy-sol-theme — GitHub repository
View Projecthosp-qa
March 18, 2024 – June 4, 2024
Hospital QA is hospital system QA chatbot built using open source LLMs and RAG.
View Projectmulti-lingual-language-recognition
September 9, 2023 – September 14, 2023
XLM RoBERTa finetuned on the XTREME dataset on Hindi, Telugu, and Tamil languages
View Projectnlp-with-transformers
April 29, 2023 – September 9, 2023
NLP use cases with Transformers.
View ProjectvoltaML
June 11, 2022 – November 30, 2022
⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
View Projectmodel-deployment-example
May 5, 2021 – September 3, 2023
An example showcasing the deployment of a PyTorch model using Flask on Heroku.
View Projectdeep-convolutional-gan
April 23, 2021 – October 3, 2022
Implementation of the deep convolutional GAN paper titled "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks" using PyTorch and PyTorch Lightning.
View Projectneural-style-transfer
April 1, 2021 – August 27, 2022
Implementation of the neural style transfer paper titled "Image Style Transfer Using Convolutional Neural Networks" using PyTorch.
View Projectalgorithms
March 26, 2021 – March 28, 2021
Implementation of popular data structures and algorithms.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in deep learning and NLP. The 'Data Scientist' role at 'dragonfruit-ai' aligns well with the technical focus of the projects. However, the candidate's experience level is listed as 0, and the current role start date is in the future (2026), which suggests a lack of professional experience. This significantly impacts cultural fit for a senior role requiring immediate impact.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.