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AI Engineer with 2+ years in Python & 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
Detail-oriented and quality-focused professional with strong expertise in Python programming, data analysis, and software testing. Skilled in identifying defects, analyzing system behavior, and ensuring product reliability through comprehensive testing methodologies. Passionate about delivering high-quality software solutions, optimizing processes, and enhancing user experience. Seeking opportunities to contribute to QA and software quality initiatives in innovative technology projects.
Learn Logic AI
Diploma In AI and Data Engineer · AI and Data Engineering
August 1, 2024 – June 30, 2025
Calicut University
BSC Computer Science · Computer Science
August 1, 2020 – June 30, 2023
Tinos Software and Security Solutions LLP
AI and ML trainee
January 1, 2024 – Present
Cochin, Kerala, India
Text-to-Image Chart Generation for Business Analytics
January 1, 2026 – Present
•Built a tool that converts business queries into dynamic charts using NLP. •Integrated data visualization libraries such as Matplotlib and Plotly.
Image Age Detection
January 1, 2026 – Present
•Developed a system to identify the age and gender of subjects within a given image.
Car Price prediction
January 1, 2026 – Present
•Engineered a predictive model for car pricing using a Random Forest Regressor.
XAF Money
January 1, 2026 – Present
•Created an application for students featuring a lucky draw game and a prediction game. •Implemented a module allowing students to save money within the platform
Cultural Fit Analysis
The candidate's projects show a diverse interest in AI applications, from business analytics to image processing and predictive modeling. The internship as an 'AI and ML trainee' aligns with a career path in AI. However, the overall experience level (trainee/internship) and project scope suggest a junior profile, which may not be a strong cultural fit for a senior AI Engineer role requiring significant autonomy and strategic input.
Soft Skills & Operational Fit
The candidate lists soft skills such as communication, teamwork, problem-solving, and critical thinking. However, these are self-declared and not validated by assessment data. The project descriptions suggest an ability to work on defined tasks, but the operational fit for a senior AI Engineer role requires more evidence of independent problem-solving, system design, and leadership.