Artificial Intelligence. Machine Vision AI. LLMs. Gen-AI. Graph ML. Game Theory
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AUMOVIO
Data Scientist
June 18, 2026 – Present
Practice_Coding
May 16, 2026 – Present
this is all about practicing leetcode, geeksforgeeks, smartInterview platform code and basic
View Projectanandsalonsolutions
April 12, 2026 – Present
this repo is about the welcome page for anand salon solutios
View Projectllm_from_scratch
April 7, 2026 – Present
This repo is about learning LLM from scratch. It includes all the foundation or core concept required for LLM understanding from beginner to practioner level
View ProjectAgentic_AI_Calculator
April 2, 2026 – Present
This repo is about basic usecase of Agentic - AI, Creating a agents for each calculator operations for understanding how agentic-AI works w.r.t. real time applications
View ProjectFog-Image-Creation
June 3, 2024 – June 7, 2024
This project is about adding fog/Haze effects in the image.
View ProjectArgoverse2.0-Data
April 4, 2022 – April 20, 2022
This is for argoverse data understanding. Motion forecasting data is being explored.
View ProjectImage-orientation-correction-using-CVPR-dataset
January 8, 2018 – August 19, 2019
Using transfer learning techniques, I have trained the model that can check image orientation and If images are not in right orientation that images can be converted in right orientation in inference.
View Projectface-landmarks-and-alignment
January 5, 2018 – January 6, 2018
Step by step guide to install dlib in linux. Implemented in python which includes dlib, opencv library that detects the facial landmarks and alignment of faces in any images; the predictor trained on Helen data-set..
View ProjectEmotion-detection-VGGnet-architecture-fer2013
November 1, 2017 – November 1, 2017
I have used haarcascade.xml and deep learning techniques to detect the emotion of person. Trained in keras framework using fer2013 dataset. I have delivered the model with almost 95.0% of accuracy. Credit: PyImageSearch
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and focused on deep learning and computer vision, which aligns with a Data Scientist role. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration or broader cultural fit. The project diversity is good within the AI/ML domain, but there's limited evidence of broader data science skills like data engineering, MLOps, or business intelligence applications.
Soft Skills & Operational Fit
The candidate's project descriptions are concise, but lack detail regarding problem-solving approaches, challenges faced, or specific contributions, making it difficult to assess soft skills like problem-solving, critical thinking, or collaboration. The 'Practice_Coding' project suggests a commitment to continuous learning and improvement.