AI Engineer with 1+ years in data annotation and Python-based application development.
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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 – Present
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 – Present
Built a vendor-banquet marketplace web app with a dynamic budget estimator and OCR-powered text translation using Python, Flask, and PIL.
AIML workshop for Crop mapping Acreage mapping
ISRO
June 1, 2026 – Present
Deep learning, AIML, NLP & Prompt Engineering
Infosys Springboard
June 1, 2026 – Present
Oracle SQL & Analytic SQL
Oracle
June 1, 2026 – Present
Claude 101
Anthropic
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (Plant Disease Recognizer, Eventify) show a diverse application of technical skills, from deep learning for agricultural problems to web development with OCR. The certifications in various AI/ML topics and SQL indicate a broad interest in technology and continuous learning. The current role as a Data Annotation Analyst aligns with foundational aspects of AI development, suggesting a practical, detail-oriented approach. The overall profile indicates a good fit for a dynamic tech environment focused on problem-solving and efficient tech solutions, aligning with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights teamwork, adaptability, analytical thinking, and cross-functional collaboration as soft skills. The experience as a Data Annotation Analyst and Project Intern suggests an ability to work in teams and contribute to project goals. The academic projects demonstrate problem-solving skills. However, the experience level is entry-level, which might require more operational guidance in a senior role.