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AI Engineer with less than a year in cybersecurity and prompt engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech in Computer Science Engineering and Business System. Proficient in Power BI, C, and Python with experience in DAX, file handling, basic OOP, and tools like Excel, Jupyter, and VS Code. A quick-learning tech enthusiast with hands-on experience in ethical hacking, prompt engineering for AI models, and developing machine learning and AI-powered platforms.
Vimal Jyothi Engineering college,chemperi
B.Tech · Computer Science Engineering and Business System
August 1, 2022 – June 30, 2026
CPNMGHSS Mathamgalam
Higher Secondary
June 1, 2019 – May 31, 2021
TMHSS Vellora
Secondary
N/A – May 31, 2019
Fake News Detection using Machine Learning
June 22, 2026 – Present
Built a model to classify news articles as real or fake using NLP techniques and ML algorithms like Logistic Regression and Naive Bayes. Preprocessed data with TF-IDF vectorization and achieved high accuracy in detecting misinformation.
Ai Powered Matchmaking Platform for Startups and Investor
June 22, 2026 – Present
Developed an AI-powered startup-investor matchmaking platform using Python Django, NLP, TF-IDF, and cosine similarity techniques. Implemented secure authentication, profile verification, and hybrid recommendation algorithms to provide personalized investor recommendations for startups. Designed scalable full-stack features including real-time chat, profile management, and interaction modules to improve engagement and decision-making.
Cultural Fit Analysis
The candidate's academic projects show an interest in applying AI to practical problems (fake news detection, startup-investor matchmaking). The internship in Cyber Security and Ethical Hacking, while not directly AI, demonstrates a breadth of technical curiosity. The 'quick-learning tech enthusiast' trait suggests adaptability, which is positive for cultural fit in a dynamic environment. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex problems and implement multi-faceted solutions. The 'quick-learning tech enthusiast' self-description indicates a proactive attitude towards skill acquisition. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication in a professional setting.