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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DeepfakeDetector
January 19, 2026 – Present
Chrome Extension that detects deepfakes + uses GradCAM visualization to pinpoint regions where deepfake manipulation is visible. (InnovateX Hackathon 2nd Place Best Overall Project)
View ProjectTrafficSignalOptimization
November 23, 2025 – November 23, 2025
Using Outer Linearization to convert traffic signal optimization into an LP problem then optimizing via Simplex (MTH382 Course Project)
View ProjectSuperWeightQuantization
November 15, 2025 – Present
Implementation of super-weight aware quantization from "The Super Weight in Large Language Models" (Yu et al., 2024, Apple).
View ProjectERGO
June 23, 2025 – November 2, 2025
Model-agnostic inference framework that helps LLMs recover from context degradation and maintain performance across multi-turn conversations. (Presented at UncertaiNLP @ EMNLP & MTI-LLM @ NeurIPS)
View ProjectTikTokAutoUploader
September 3, 2024 – Present
Python tiktok uploader that lets you upload and schedule tiktoks using favorited/searched sounds, hashtags, VPN, Telegram and more (Updated April 2026)
View ProjectSkinDiseaseClassifier
July 15, 2024 – July 15, 2024
CNN that classifies Skin Disease with an accuracy of more than 94%
View ProjectDesktopImageOrganizer
May 26, 2024 – June 27, 2024
AI that automatically sorts Desktop images
View ProjectInsurancePredictor
March 18, 2024 – March 18, 2024
Optimized Linear Regression Model that predicts insurance charges based off of various factors
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, self-directed projects, indicating a strong drive for independent learning and exploration. However, there is no information regarding collaborative work, team environments, or contributions to open-source projects beyond personal initiatives. This makes it difficult to assess cultural fit for a team-oriented role. The projects align well with a Data Scientist role, demonstrating a passion for the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a proactive and self-directed individual, but there is no information on teamwork, communication, or stress handling.