Applied Research Engineer - NLP
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bespoke_document_embeddings
September 20, 2025 – October 4, 2025
bespoke_document_embeddings — GitHub repository
View ProjectMaximal_Marginal_Relevance
March 29, 2025 – March 30, 2025
Maximal_Marginal_Relevance — GitHub repository
View ProjectUnsupervised-Labelling
January 27, 2025 – March 26, 2025
Unsupervised-Labelling — GitHub repository
View ProjectCreating-Lightweight-RAG-Systems-With-Graphs
August 16, 2024 – August 21, 2024
Creating-Lightweight-RAG-Systems-With-Graphs — GitHub repository
View ProjectFetus_Head_Segmentation---Pytorch
November 22, 2020 – November 22, 2020
Segmentation of fetal head from ultrasonic images using computer vision.
View ProjectDiabetic-Retinopathy-Resnet34-Pytorch
October 20, 2020 – October 20, 2020
An A.I model to predict diabetic retinopathy trained using pytorch.
View ProjectAutomobile-Driver-Assistanace-Using-Computer-Vision-
July 24, 2019 – September 4, 2019
Real Time Driver Assistance System For Pedestrian Safety In Automobiles Using Raspberry pi
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and machine learning, which could indicate a proactive and self-driven individual. The diversity of projects, from medical imaging to driver assistance and NLP, suggests a broad interest in applying AI/ML to various domains. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural alignment within a corporate setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.