
undergrad AIML learning all about Deep 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
dvc-blog-tutorial
May 26, 2026 – Present
This is a repo for a blog post i write about data version control , for handson setup, which anyone can follow
View Projectemail-spam-classifier
May 21, 2026 – Present
End to end implementation of ML pipeline and experimenting around it using DVC for Experiment Tracking and Data versioning using AWS S3
View ProjectDeep-Learning
May 16, 2026 – Present
Notes, experiments, and implementations as I work through deep learning from fundamentals to modern architectures.
View ProjectCredit-Card-Fraud-Detection
May 5, 2026 – Present
End-to-end fraud detection system using Random Forest and XGBoost with threshold tuning, PR-AUC evaluation, and FastAPI deployment for real-time transaction scoring.
View ProjectMachine-Learning
August 21, 2025 – Present
Covers 10+ machine learning algorithms and 5 + Projects Each algorithm built from scratch, compared against sklearn in parallel to test performance and implemented on either toy or real datasets from kaggle
View ProjectPiano_project
March 30, 2025 – March 30, 2025
simple piano project using open cv and pygame midi
View ProjectJARVIS-AI
January 18, 2025 – August 22, 2025
Jarvis AI: A Python-based voice assistant with features like task management, app control, AI conversations, and image generation. Uses APIs and libraries like pyttsx3, speech_recognition, and AppOpener.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and practical application through numerous personal projects. The diversity of projects, from core ML/DL to DSA and even front-end technologies, suggests a broad interest, which could be a good cultural fit for a dynamic environment. However, the lack of team projects or professional experience makes it difficult to fully assess collaboration and team-oriented cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive learning approach and self-driven project initiation, which are positive indicators for operational fit.