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AI Engineer with less than a year in developing AI-powered applications and data analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Abhiram k is an aspiring AI Engineer with 11 months of experience in developing intelligent systems and data analysis solutions. They have a strong foundation in Python, Django, Node.js, and JavaScript, applied across projects like an AI-powered document chatbot, football player performance analysis, and a classroom management system. Their skills also encompass web development and a keen interest in leveraging AI for practical applications.
Kannur University
MS/M.Sc(Science) · Computers
N/A – Present
Kannur University
B.Sc · Computer Science and Technology
N/A – June 30, 2021
File chatbot
April 1, 2026 – June 30, 2026
Developed an AI-powered document chatbot that enables users to upload files and ask questions about their content. Implemented document parsing, chunking, and retrieval for PDF, TXT, CSV, JSON, HTML, Markdown, and log files. Integrated Gemini AI for context-aware question answering using uploaded document content and conversation history. Built intelligent features including suggested questions, smart recommendations, contradiction detection, auto-correction, next-word prediction, user authentication, profile management, and persistent chat history.
Football players performance analysis
December 1, 2024 – March 31, 2025
Developed a data analysis application with visualizations and performance comparison features.
Classroom management system
December 1, 2023 – March 31, 2024
Designed a web application for Continuous Evaluation (CE) mark management and automated score calculations.
Programming for Everybody (Getting Started with Python)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are primarily personal and academic, showcasing initiative and a drive to learn. The diversity of projects (AI chatbot, data analysis, web application) suggests adaptability and a broad interest in technology. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative, corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to conceptualize and implement complex features (e.g., contradiction detection, smart recommendations). However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication clarity in a professional setting cannot be definitively evaluated.