Help & Supportcareers@gravityer.com
Creative technologist with a focus on AI and ML.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
crypto-analysis-bot
August 6, 2025 – August 6, 2025
AI-powered crypto trading analysis bot with Flask and OpenAI
View Projectkpop_diffusion
May 8, 2024 – May 8, 2024
Learning diffusion models from scratch by training a diffusion model on Kpop Idol Faces
View Projectgenerative-deep-learning
January 31, 2024 – February 14, 2024
Notebooks and experiments from going through the textbook "Generative Deep Learning" by David Foster
View ProjectSmoker_Detection
January 23, 2024 – January 23, 2024
Building a CNN model that detects if an image of a person is smoking.
View Projectselfstudy-roadmap-ml-ai
October 20, 2023 – October 25, 2023
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
View Projectfine-tune-generativeAI
October 9, 2023 – October 9, 2023
A collection of practice notebooks to learn fine-tuning, parameter efficient fine-tuning(PEFT), reinforcement learning via PPO.
View ProjectIntro_to_Pandas
October 4, 2023 – October 4, 2023
A collection of notebooks to practice learning the Python package, Pandas.
View ProjectMath_for_ML
October 3, 2023 – December 4, 2023
A collection of practice notebooks to learn Mathematics for Machine Learning
View Projectaudiotranscription
September 23, 2023 – September 27, 2023
A simple audio transcription tool using Open AI's Whisper
View ProjectNotebooks
August 20, 2023 – September 6, 2023
A collection of jupyter and colab notebooks to practice Machine Learning and AI
View ProjectCultural Fit Analysis
The candidate shows a strong passion for learning and applying AI/ML concepts, which aligns well with an innovative and growth-oriented culture. The diversity of personal projects, from foundational math to advanced generative models, suggests a broad interest within the data science domain. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-driven learning approach.