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Entry-level AI Engineer with Python, Machine Learning, and Cybersecurity skills.
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 fresher with good skills in Python and problem-solving. Able to learn fast, build basic applications, and work confidently with clean coding practices. Looking for an opportunity to grow, contribute, and improve through real-world development work.
Andhra Loyola Institute of Engineering and Technology
B.Tech
N/A – June 30, 2025
EDUNET
AI&ML Intern
May 1, 2025 – June 1, 2025
India
Supraja Technologies
CyberSecurity Intern
May 1, 2024 – July 1, 2025
India
AI-Powered Smart Farming Assistant
May 1, 2025 – June 1, 2025
Built a simple assistant to detect soil type and crop pests from images. Integrated weather API to trigger alerts and give farming suggestions. Used Flask to connect model outputs with real-time user input. Practiced product logic using Python, TensorFlow, OpenCV, and API automation.
View ProjectSteganography-based Secure Messaging App
June 1, 2024 – July 1, 2025
Created a tool to hide and extract secret messages inside images. Added password protection and option to send hidden messages via email. Used Tkinter for GUI, PIL for image processing, and basic encryption. Focused on secure and simple user flow: select image → encode message → send → decode.
View ProjectNptel-introduction to ai&ml
Unknown
June 1, 2026 – Present
cisco
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a breadth of interest with projects spanning AI/ML and cybersecurity. The personal projects demonstrate initiative and a desire to apply learned skills, which aligns with a proactive culture. The target role of 'AI Engineer' is well-aligned with the AI/ML internship and related projects. The candidate's academic background and certifications further support a commitment to learning and development. However, the experience level is very junior, which might require significant mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's summary highlights enthusiasm, fast learning ability, and problem-solving skills. Project descriptions indicate an ability to work on end-to-end features (e.g., GUI, API integration, user flow). The personal projects suggest initiative and a practical mindset. However, as an entry-level candidate, direct evidence of advanced operational fit or complex soft skills (e.g., conflict resolution, advanced team leadership) is limited.