AI Engineer with less than a year in Machine Learning, NLP, and React.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI developer with practical knowledge of Python, ML, and PyTorch. Strong command of MySQL database administration, frontend fundamentals (HTML/CSS/React), and data structures and algorithms. Adept at deploying AI-powered apps, collaborating on projects using Git and GitHub, and analyzing data. Enthusiastic about utilizing cutting-edge ML and Gen AI tools to create scalable, intelligent systems.
Parul University
Bachelor of Technology · Computer Science and Engineering (AI and DS)
July 1, 2022 – April 1, 2026
The Skybrisk
Data Science Intern
January 1, 2026 – March 1, 2026
India
Text Summarization Tool
June 1, 2026 – Present
Built an NLP system for extractive and abstractive text summarization. Used transformer-based models to improve summary quality and relevance. Optimized outputs based on readability and contextual accuracy. Applied feature engineering and hyperparameter tuning to improve model accuracy.
View ProjectFake News Detection System
June 1, 2026 – Present
Developed a supervised ML model to classify news as real or fake using NLP techniques. Applied text preprocessing, TF-IDF vectorization, and classification algorithms. Evaluated performance using accuracy, precision, recall, and confusion matrix. Improved model performance by applying feature engineering and hyperparameter tuning techniques, enhancing classification accuracy.
View ProjectCSE-Compass
June 1, 2026 – Present
Developed a web platform to guide CSE students in choosing career paths. Designed structured learning roadmaps for AI, Web, and Data Science paths. Built responsive UI components using React and Tailwind CSS. Implemented dynamic routing and interactive navigation for better user experience.
View ProjectAI-Powered Job Portal
June 1, 2026 – Present
Built an AI-driven career platform using LLM + RAG architecture for personalized guidance and interview preparation. Implemented semantic search using vector embeddings and cosine similarity for context-aware responses. Developed an ATS Resume Analyzer using NLP for keyword extraction and skill-gap detection. Designed a scalable full-stack system with REST APIs and real-time conversational interface.
View ProjectOracle Certified Professional For Data Science
Oracle
June 1, 2026 – Present
Oracle Certified Professional For Generative AI
Oracle
June 1, 2026 – Present
Full Stack Developer
Wipro
June 1, 2026 – Present
Python
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI/ML and full-stack development, aligning well with an AI Engineer role. The diversity of projects (job portal, fake news detection, text summarization, career guidance platform) shows a broad application of skills and a proactive learning approach. The certifications in Python, Data Science, Generative AI, and Full Stack Development further indicate a commitment to continuous learning and skill development, which is a positive cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, time management, communication, adaptability, and team collaboration as soft skills. Project descriptions indicate an ability to work on diverse tasks and integrate various technologies. The internship experience suggests an understanding of data science workflows in a professional setting.