Cloud Architect focused on Cloud Systems, DevOps, MLOps, ML engineering, and AI/LLM automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rajinh24
Data Scientist
June 21, 2026 – Present
credit-card-fraud-detection-ml
March 21, 2026 – Present
Credit card fraud detection project using supervised and unsupervised ML on the Kaggle ULB dataset.
View Projectkgnite
March 14, 2026 – Present
kgnite: unified Kaggle CLI for search, downloads, competitions, notebooks, models, and uploads
View Projectaiml-project-scaffolder
March 5, 2026 – Present
This project provides a reproducible template for AI/ML workflows
View ProjectSlimPDF
November 17, 2025 – November 18, 2025
Instantly slim down PDFs in your browser, powered by Ghostscript
View Projectgoogle-forms-quiz-builder
September 28, 2025 – September 28, 2025
Automate Google Form quiz creation from a Google Sheet of questions, with auto-publish, scoring, and ready-to-share student quiz links.
View Projectllm-transformer-subword
April 25, 2025 – April 25, 2025
Train a subword-level Transformer language model from scratch using PyTorch and SentencePiece. Includes custom tokenizer training, attention-based generation, and top-k/top-p sampling.
View Projectcognito-auth-api
April 19, 2025 – April 19, 2025
To build custom authentication APIs using AWS Cognito, Lambda, and API Gateway.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and development in AI/ML, which aligns with a proactive learning culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The target role is Data Scientist, and the projects are relevant, but the candidate's listed experience shows a current role as 'Data Scientist' at 'rajinh24' starting in 2026, which appears to be a future date or placeholder, making it difficult to assess actual professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests with scores to evaluate these aspects.