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PJ

Prajwal S J

B.E. Computer Science student · Aspiring Python Full Stack Developer

Tumkur, Karnataka, India

@prajwal_s_j

0 followers

🎓 B.E. Computer Science & Engineering at Sri Siddhartha Institute of Technology · Graduating 2026

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About

B.E. Computer Science & Engineering student with hands-on experience building full-stack web applications using Python, Django, React, and PostgreSQL. Completed an internship in LLM post-training data evaluation and is seeking an entry-level Python Full Stack Developer role.

Experience

  • LLM Post Training Intern
    Ethara.AI

    Contributed to data preparation and evaluation tasks on AI and data projects supporting Large Language Model (LLM) post-training workflows.

  • Python Full Stack Development Intern
    TAP Academy

    Undergoing hands-on training in Python full stack development, covering backend and frontend development practices.

Education

  • B.E.
    Sri Siddhartha Institute of Technology
    Computer Science & Engineering · 2022 – 2026
  • Pre-University Course (PUC)
    Govt. Mothiveerappa PU College
    2022
  • Secondary School Leaving Certificate (SSLC)
    Sri Taralabalu Central School
    2020

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
CSS HTML React Python Django JavaScript Data Annotation Data Interpretation

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git GitHub Supabase PostgreSQL

Projects

  • Student Attendance Management System
    Python, Django, Supabase

    Built a student attendance management system with a teacher login portal to view and manage attendance records. Included subject-wise attendance percentage calculation for each student.

  • DeepFake Video Detection
    CNN, EfficientNet, OpenCV, MTCNN, Django, React

    Built a DeepFake Image and Video Detection System to classify media as real or fake using facial features, textures, and lighting inconsistencies. Preprocessed data with OpenCV/MTCNN, trained on FaceForensics++, Celeb-DF, and DFDC datasets, and integrated it into a Django and React web app with confidence-score output.

Courses & certifications

  • Projects with Real World Case Studies on FSD and ML · ExcelR
  • Agile Scrum Fundamentals Certification · Infosys

🏆 Achievements & awards

  • Completed 5-Day Workshop on Python Programming & Libraries · 2025

    Mevi Technologies LLP

  • Attended AI for Beginners Workshop · 2023

    Mevi Technologies LLP

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