A newbie ML enthusiast with an appetite for learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GraphOrchestrator
March 29, 2025 – Present
GraphOrchestrator is a modular framework for executing AI, tool, and human-in-the-loop workflows as directed graphs, with support for retries, fallbacks, conditional routing, and checkpointing—all powered by structured, async execution and rich logging.
View ProjectPlegBloc-Blockchain_based_Crowdfunding_App
December 29, 2021 – January 10, 2022
This repository contains the codebase for the Anveshan Hackathon organized by IIIT Delhi in Jan 2022.
View ProjectAbhinavS99-Realtime-Face-Recognition-with-TfLite
October 18, 2021 – October 19, 2021
A minimalistic Face Recognition module which can be easily incorporated in any Android project.
View ProjectImage-Caption-Generation-using-Attention-Networks
October 18, 2021 – October 19, 2021
Neural Image Caption Generation Using Bahadanu Attention
View ProjectPlegBloc
September 11, 2021 – December 16, 2021
A trustful crowdfunding app in the ethereum domain
View ProjectGenerative-Adversarial-Networks-Based-Text-to-Image-Generation
March 18, 2021 – May 27, 2023
Generating real life images from textual description using DCGANs
View ProjectOnlineShop
February 5, 2021 – February 5, 2021
Online Shop which can be used by Customer, Supplier, Manager, Employee and Owner of the Shop. It is a CLI based project with many features.
View ProjectReconstructing-Posture-with-ML-and-DL
December 22, 2020 – February 10, 2021
Posture reconstruction by application of machine learning
View ProjectImage-Compression-with-ML-Techniques
December 21, 2020 – February 10, 2021
The project explores the use of Unsupervised Learning Techniques like Principal Component Analysis and KMeans Clustering for the purpose Image Compression.
View ProjectPredicting-Employee-Attrition-for-Augmenting-Institutional-Yield
December 20, 2020 – February 1, 2021
In this project, the team strives to use machine learning principles to predict employee attrition, provide managerial insights to prevent attrition, and finally rule out and present the factors that lead to attrition.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning new technologies. The diversity of projects, from blockchain to face recognition and various ML applications, suggests adaptability and a broad technical curiosity. However, the lack of team-based or open-source contributions makes it difficult to fully assess cultural fit in a collaborative environment. The projects align well with a Data Scientist role, particularly those focused on ML/DL applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insights into collaboration, problem-solving approaches, or communication style.