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AI Engineer with 1+ years in data annotation, Python, and 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
Enthusiastic and detail-oriented Information Technology graduate in 2025 with a strong foundations. Passionate about learning new technologies and eager to contribute to a dynamic tech environment with problem solving mindset and building efficient tech solutions.
Gujarat Technological University
Bachelor of Engineering · Information Technology
August 1, 2021 – June 30, 2025
Telus Digital
Data annotation analyst
September 1, 2025 – Present
India
Augmented System
Project intern
January 1, 2025 – April 1, 2025
India
Plant Disease Recognizer
June 1, 2026 – June 1, 2026
Built a CNN-based deep learning model using Keras and TensorFlow to automatically detect and classify plant diseases from leaf images. Applied multi-layer convolutional feature extraction on a large, varied image dataset to maximise prediction accuracy.
Eventify
June 1, 2026 – June 1, 2026
Built a vendor-banquet marketplace web app with a dynamic budget estimator and OCR-powered text translation using Python, Flask, and PIL.
Oracle SQL & Analytic SQL
Oracle
June 1, 2026 – Present
AIML workshop for Crop mapping Acreage mapping
ISRO
June 1, 2026 – Present
Deep learning, AIML, NLP & Prompt Engineering
Infosys Springboard
June 1, 2026 – Present
Claude 101
Anthropic
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (Plant Disease Recognizer, Eventify) show initiative and practical application of learned skills. The internships, though short-term, demonstrate exposure to professional environments. The certifications indicate a proactive approach to learning new technologies relevant to AI. The target role of 'AI Engineer' aligns well with the candidate's stated interests and acquired skills, suggesting a good cultural fit for a growth-oriented, technically driven environment. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate lists teamwork, adaptability, analytical thinking, and cross-functional collaboration as soft skills. The experience descriptions, particularly the data annotation role, suggest an ability to work within a team and contribute to larger projects. The academic projects also indicate problem-solving abilities. However, without direct interview data, the depth of these soft skills and operational fit cannot be fully assessed.