PP Prerana
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Machine Learning & Web Development
Computer Science Engineering student with hands-on experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Cloud Computing, Web Development, and Computer Networks. Developed multiple end-to-end projects including AI-powered repository analysis, network attack detection, NLP applications, and fitness management systems using Python, Flask, TensorFlow, and modern web technologies. Passionate about building innovative solutions, learning emerging technologies, and contributing to impactful software products. Seeking opportunities to apply technical skills, problem-solving abilities, and creativity in a dynamic and growth-oriented environment.
RV University
B.Tech. · CSE - Artificial Intelligence and Machine Learning
August 1, 2023 – June 30, 2027
Excel PU College, Beltangady
12th · PUE Karnataka
N/A – May 31, 2023
St Marys International school, Chikmagalur
10th · CISCE
N/A – May 31, 2021
Gitguard AI
April 24, 2026 – June 19, 2026
Developed an AI-powered code security and repository analysis platform that detects vulnerabilities and generates security insights for GitHub repositories. Built the complete application, including frontend, backend APIs, repository integration, security analysis workflows, and interactive dashboards using Python, Flask, HTML, CSS, and JavaScript.
View ProjectNLP Suite - Multi-Task Natural Language Processing Platform
April 1, 2026 – May 4, 2026
Developed a Flask-based NLP web application integrating Sentiment Analysis (BERT, LSTM), Machine Translation (Seq2Seq, Transformer), and Text Summarization (TextRank, T5). Built REST APIs, integrated pre-trained deep learning models, and developed an interactive web interface for real-time NLP tasks and evaluation.
View ProjectNetwork Traffic Monitoring and Attack Detection System
March 31, 2026 – June 15, 2026
Developed a machine learning-based network security system to monitor traffic, detect anomalies, and identify cyberattacks in real time. Built the complete solution including traffic analysis, attack detection, visualization dashboards, and reporting features using Python and ML techniques.
View ProjectGit Summarizer
March 1, 2026 – April 21, 2026
Git Summarizer (RepoExplainer) – AI-powered GitHub repository analysis platform that generates repository summaries, architecture insights, dependency analysis, and interactive Q&A using RAG, FAISS, and LLMs. Role: Frontend Developer - Developed responsive user interfaces, integrated backend APIs, and optimized user experience using HTML, CSS, and JavaScript.
View ProjectFitbite
April 8, 2025 – May 12, 2025
Developed a fitness and nutrition management application that provides personalized diet recommendations, workout tracking, and health monitoring features. Built the complete system using Python, Flask, and Tkinter, focusing on user experience, data management, and wellness insights.
View ProjectCultural Fit Analysis
The candidate's academic background in AI/ML and diverse project portfolio (security, NLP, fitness) align well with an AI Engineer role, indicating a strong interest and foundational skill set. The projects showcase an ability to work on varied applications and integrate different technologies, suggesting adaptability. However, the lack of professional experience means there's no direct evidence of cultural fit within a corporate environment, team collaboration dynamics, or handling real-world project constraints. All projects are academic, which limits the assessment of their ability to thrive in a professional team setting.
Soft Skills & Operational Fit
The candidate's academic projects demonstrate initiative, problem-solving abilities, and a passion for learning emerging technologies. The professional summary highlights a desire to contribute to impactful software products in a dynamic environment. Participation in technical workshops and seminars indicates a proactive approach to skill development. However, without professional experience, direct evidence of operational fit, teamwork in a corporate setting, or stress handling is limited.