Jerin R.
I build practical AI tools — from scikit-learn models to LLM workflows that screen candidates, book appointments and recognise faces.
Fig. 01HireFlow AI — hiring, automated.
An AI-powered recruitment and candidate-assessment platform for HR teams. It reads each resume against the job, builds a test made for that candidate, runs their code safely, and finishes with an AI interview.
Post a job
HR adds the role and its requirements.
Resume vs. job
Gemini compares each resume with the job description.
A test per candidate
Assessment questions are generated for that person and that role.
Safe code runs
Candidates' code runs in a Docker sandbox — 13+ languages as container images.
AI interview
Interview questions tailored to the candidate's profile.
10, 50 or 100 shortlisted candidates from one file, processed in the background.
One clear score sheet for every candidate at the end of the pipeline.
Also built.
AI Medical Receptionist
Patients book appointments by chatting with a Gemini assistant; owner dashboard and secure logins.
Flask · Gemini · SQLite
→Face recognition
Spots faces on a live webcam and names a known person; counts faces in photos.
OpenCV · face_recognition · MediaPipe
→ML with scikit-learn
Regression, decision trees, K-Means and Apriori — from cleaning data to saving the model.
scikit-learn · Pandas · mlxtend
→12 Python apps
To-do, expense tracker, quiz and a text-to-speech app with desktop interfaces.
Tkinter · CustomTkinter · pyttsx3
→Python first. Then the model.
- Python
- scikit-learn
- NumPy · Pandas
- Matplotlib · mlxtend
- Model evaluation
- Gemini API
- OpenAI · Groq APIs
- Prompt engineering
- OpenCV · MediaPipe
- FastAPI · Flask
- SQLAlchemy
- Docker
- Claude AI
AI / Machine Learning course
3 months · Dhatchan Academy, Palayamkottai
B.Sc. Computer Science
Nazareth Margoschis College, Pillayanmanai
Tamil · English
Speak, read and write
carlojerin01
@gmail.com