Building On-Device ML for Android, ML/CS enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SmolChat-Android
November 10, 2024 – Present
Running any GGUF SLMs/LLMs locally, on-device in Android
View ProjectSegment-Anything-Android
August 11, 2024 – February 1, 2025
An Android app running inference on Meta's Segment-Anything (SAM) and SAM v2
View ProjectSentence-Embeddings-Android
June 24, 2024 – September 28, 2025
Embeddings from sentence-transformers in Android! Supports all-MiniLM-L6-V2, bge-small-en, snowflake-arctic, model2vec models and more
View ProjectOnDevice-Face-Recognition-Android
June 5, 2024 – Present
On-device customizable face recognition in Android with FaceNet and an embedded vector database
View ProjectOnDevice-RAG-Android
May 21, 2024 – Present
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
View ProjectDepth-Anything-Android
February 7, 2024 – June 26, 2024
An Android app running inference on Depth-Anything and Depth-Anything-V2
View ProjectMiDaS-Android
August 26, 2021 – February 25, 2024
Monocular Depth Estimation using MiDaS in Android
View ProjectAge-Gender_Estimation_TF-Android
May 7, 2021 – February 25, 2024
Age + Gender Estimation on Android with TensorFlow Lite
View ProjectFaceRecognition_With_FaceNet_Android
June 20, 2020 – July 27, 2024
Face Recognition using the FaceNet model and MLKit on Android.
View ProjectText2Summary-Android
April 15, 2020 – February 8, 2025
A Kotlin library for Text Summarization using TFIDF
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on Android-based on-device machine learning. While this demonstrates deep technical interest and capability in a niche area, the lack of diverse project types (e.g., cloud-based ML, data engineering, MLOps, research, team projects) and the absence of professional experience or education make it difficult to assess broader cultural fit for a typical Data Scientist role. The target role 'Data Scientist' is broad, and the candidate's current profile is highly specialized in mobile ML deployment, which might not align with all aspects of a general Data Scientist position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong independent work ethic and initiative in exploring advanced ML topics.