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Clarifai
Data Scientist
June 17, 2026 – Present
token-factory-cookbook
April 9, 2025 – Present
token-factory-cookbook — GitHub repository
View Projectclarifai-pyspark
October 16, 2023 – November 11, 2024
Interfaces for Unstructured data and ML pipelines with Databricks and Clarifai
View ProjectBasic_GANs
August 17, 2021 – August 17, 2021
Implemented and experimented with GAN, Conditional GAN and Deep-Convolutional GAN on various datasets for comparison, learning and demonstration purposes
View ProjectSiameseNet
August 17, 2021 – August 17, 2021
Implemented and trained Siamese network for image classification using contrastive loss, triplet loss and regularized cross-entropy loss
View ProjectLogisticReg
August 17, 2021 – August 17, 2021
Implemented logistic regression from scratch to train on sign language digits dataset and titanic dataset using one-vs-one and one-vs-all algorithms
View Projectbincrowd
July 15, 2021 – May 17, 2022
Official Implementation of ACMMM'21 paper "Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting"
View ProjectBusiness_website
December 27, 2020 – December 27, 2020
Website for a marketing company to showcase its products
View ProjectRestaurant_IMS
December 20, 2020 – December 27, 2020
A website for the restaurant to accept orders and manage its inventory
View ProjectADSA_Assignment2
December 12, 2020 – December 12, 2020
Implemented AVL tree as well as ordered and unordered hashmaps from scratch
View ProjectStutter-Therapy
February 14, 2020 – August 20, 2021
Developed and trained Gated-CNN models to detect types of stutter in speech and SVM classifier to suggest new therapies to the user according to his stutter type and severity
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in machine learning and data science, aligning well with a Data Scientist role. The diversity of personal projects, from deep learning implementations to web development, suggests a broad curiosity and self-driven learning. However, the experience level is listed as 0, and the only listed professional experience is current, starting in the future (2026), which makes it difficult to assess cultural fit based on professional collaboration or team dynamics. The projects are primarily individual, limiting insights into teamwork.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style in a team setting.