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Software Engineer with less than a year in AI/ML & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated software developer and AI/ML enthusiast with hands-on experience in Python, machine learning, data preprocessing, full stack web development, and REST API integration. Strong understanding of programming fundamentals, data analysis, model development, testing, debugging, and database management. Passionate about solving real-world problems, learning modern technologies, and contributing effectively in collaborative development environments.
SNIT Kollam, Kerala University
Master of Computer Applications (MCA) · Computer Applications
August 1, 2024 – Present
College of Applied Science Adoor, Kerala University
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2024
Logiprompt Techno Solutions India Pvt Ltd
MERN Stack Developer Intern
January 1, 2026 – Present
India
AI-Powered Movie Recommendation Web Application
June 24, 2026 – Present
• Developed a full stack AI-powered movie recommendation platform using React.js and FastAPI. • Performed data collection, cleaning, preprocessing, and analysis to prepare inputs for recommendation generation. • Implemented machine learning and AI-based recommendation logic using a local large language model for personalized movie suggestions. • Integrated external movie database APIs to fetch real-time movie information such as ratings, genres, release year, and descriptions. • Built user history tracking and watchlist management features to store search prompts and AI-generated results. • Developed secure backend APIs for authentication, recommendation processing, testing, and database operations. • Used Git for version control and maintained project documentation for reproducibility and collaboration.
Computer Parts E-Commerce Web Application
June 24, 2026 – Present
• Developed a full stack e-commerce platform for selling computer hardware and accessories using PHP, JavaScript, HTML, and CSS. • Designed and implemented database-driven product management, cart operations, and order processing workflows. • Built responsive user interfaces and filtering features to improve search, navigation, and user experience. • Applied structured programming concepts, debugging, and testing during development. • Worked with backend logic, API-style data flow, and database integration for scalable application handling.
Privacy-Preserving Natural Language CSV Query System
June 24, 2026 – Present
• Built a privacy-preserving data analysis tool that supports natural language querying of CSV datasets. • Used dataset metadata, Pandas, NumPy, and Python-based processing to support data handling and transformation. • Generated client-side scripts for local execution to reduce data exposure and improve privacy.
News Sentiment Analysis
June 24, 2026 – Present
• Developed an end-to-end NLP system for collecting, preprocessing, vectorizing, and classifying real-time news articles. • Applied machine learning concepts for sentiment classification using Positive, Negative, and Neutral labels. • Built REST APIs with Django and created a dashboard for aggregated sentiment insights. • Used data processing concepts and scalable batch handling for larger news datasets.
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered recommendations and NLP to e-commerce and privacy-preserving systems, indicates a broad interest in different technical domains. This suggests a good cultural fit for an organization that values innovation and cross-domain problem-solving. The pursuit of both a Bachelor's and Master's degree in Computer Science/Applications, along with an ongoing internship, shows a commitment to continuous learning and professional development. The candidate's focus on personal projects also highlights initiative and self-driven learning.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, team collaboration, communication, quick learning, and adaptability as soft skills. The project descriptions indicate an ability to work on diverse technical challenges and integrate various technologies, suggesting a good operational fit for roles requiring adaptability and continuous learning. However, the lack of detailed descriptions for collaborative efforts in projects makes it difficult to fully assess team collaboration beyond self-declaration.