backend/debug_profile.json

{
  "id": "a29ba56a-0d5b-4bc9-9a15-e314f6447260",
  "updated_at": "2026-01-30T06:38:28.185688+00:00",
  "full_name": null,
  "role": "applicant",
  "company_id": null,
  "avatar_url": null,
  "resume_url": "a29ba56a-0d5b-4bc9-9a15-e314f6447260/1769755098632_resume_ey.pdf",
  "location": null,
  "headline": "Final-year Computer Science student hands-on experience Machine Learning. Skilled React, Python, Flask, Supabase (PostgreSQL). Built ATS-style resume screening tools stock price prediction apps.",
  "summary": null,
  "skills": [
    "Artificial Intelligence",
    "Machine Learning",
    "Communication",
    "Team Work",
    "Problem Solving",
    "Conflict resolution"
  ],
  "work_experience": [
    {
      "role": "AI/ML Intern",
      "years": "June 2025",
      "company": "ICT Academy Kerala",
      "duration": "1 month",
      "description": "Completed 1-month internship focused Artificial Intelligence Machine Learning. CreatedandassessedMLmodelsonreal-worlddatasets;improvedvalidationaccuracyafterfeatureengineering hyperparameter tuning."
    },
    {
      "role": "Django Intern",
      "years": "Sept 2023",
      "company": "Neo Green Labs",
      "duration": null,
      "description": "Delivered Django API endpoints (CRUD) connected relational database. Supported REST API implementation production use cases."
    }
  ],
  "education": [
    {
      "year": "Nov 2022 Ongoing",
      "course": "B.Tech Computer Science",
      "institution": "APJ Abdul Technological University"
    },
    {
      "year": "Jun 2020 Mar 2022",
      "course": "Higher Secondary Education",
      "institution": "Carmel College Engineering Technology"
    }
  ],
  "phone": "+91 8921173593",
  "current_position": null,
  "address": null,
  "linkedin": null,
  "github": null,
  "portfolio": null,
  "experience_years": null,
  "certifications": "ICT Academy Kerala (2025), The Joy Of Computing Using Python (Elite Rank), NPTEL (2025)",
  "technical_skills": "Python, Java, C, SQL, React, Flask, Supabase, PostgreSQL, Django, XGBoost, LSTM",
  "languages": null,
  "professional_references": null,
  "desired_salary": null,
  "industry_experience": null,
  "career_goals": null,
  "willing_to_relocate": false,
  "available_remote": false,
  "processed": true,
  "file_hash": "58406de4a011cd48192fe9e8a8e93e0255263632344bec40629deb639b54e847",
  "projects": [
    {
      "title": "CV Ordering And Numbering Application",
      "description": "Implemented automated CV filtering, ranking, clustering using job-specific criteria skill similarity algorithms. Built role-based access control system administrators, recruiters, applicants ensure secure streamlined workflows. Added PDF Excel report generation, Systematized email notifications, ATS-compatible resume for- matting. Architected platform emphasis scalability, data privacy, user-centric design improve recruiter efficiency candidate experience.",
      "technologies_used": [
        "React",
        "Vite",
        "Supabase"
      ]
    },
    {
      "title": "Stock Price Prediction System",
      "description": "Built React + Flask web app forecast stock prices using historical OHLCV data. TrainedandbenchmarkedXGBoostandLSTMmodels;servedpredictionsthroughRESTAPIsanddisplayed trends. Created responsive UI entering stock symbols comparing predicted vs. actual price trends; trained models Google Colab delivered Matplotlib plots Flask backend.",
      "technologies_used": [
        "React",
        "Flask",
        "Python"
      ]
    }
  ],
  "email": null,
  "is_phone_verified": false,
  "ai_score": 0,
  "cluster_label": null
}