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AI Engineer with 1+ years in Machine Learning & Full-Stack 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
Data Science Engineering student with a strong foundation in full-stack development and a passion for building intelligent, data-driven solutions. Proven ability to design and implement end-to-end projects, from BI dashboards and web platforms to AI-powered applications using modern ML and NLP stacks.
Esprit School of Engineering
Engineering Degree · Data Science
August 1, 2023 – Present
Higher Institute of Computer Science and Multimedia
B.S. · Computer Science
August 1, 2020 – June 30, 2023
ESPRIT
AI Web Application Developer Intern
August 1, 2024 – Present
India
SAD
BI Developer Intern
January 1, 2024 – July 1, 2024
India
FarmWise - Smart Farming Platform
June 30, 2026 – Present
Engineered an end-to-end ML platform that predicts soil health, recommends optimal crops, and forecasts yields. Developed a plant disease detector achieving 92% classification accuracy, cutting inspection time. Architected and deployed a Django web dashboard.
Automated Candidate Screening Agent
June 30, 2026 – Present
Engineered an NLP pipeline with 95% precision in skill extraction and 88% human-aligned matching. Automated CV screening, processing 100+ resumes in <2 mins and cutting review time.
Cultural Fit Analysis
The candidate's projects and internships demonstrate a proactive and innovative mindset, aligning well with a culture that values problem-solving and continuous learning. The diversity of projects (agriculture, HR tech, education) suggests an ability to apply technical skills across different domains, indicating adaptability. The stated interest in 'turning data into actionable insights' aligns with a data-driven organizational culture. However, the candidate's experience level (internships, personal projects) suggests a need for mentorship and integration into a senior team, which could be a good cultural fit if the team is structured to support growth.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach, focusing on quantifiable improvements (e.g., 92% accuracy, 65% time reduction, <2 mins processing). This suggests a strong drive for efficiency and impact. The diverse project portfolio (smart farming, candidate screening, educational content generation) demonstrates adaptability and a willingness to tackle varied challenges. The internship experience in both AI Web Application Development and BI Development shows a broad technical interest and ability to work in different operational contexts. However, without direct assessment data on collaboration or stress handling, a full evaluation of operational fit is limited.