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AI Engineer with less than a year in Machine Learning and Cybersecurity
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech CSE (Cybersecurity) student with hands-on experience in AI technologies, machine learning, NLP, and LLM evaluation workflows. Skilled in Python, Generative AI concepts, prompt analysis, and building AI-powered applications using modern development tools.
Malla Reddy Engineering College
B.Tech · CSE (Cybersecurity)
August 1, 2023 – June 30, 2026
TKR College of Engineering
Diploma · Computer Engineering
N/A – June 30, 2023
ZPHS Tadoor
10th Grade · General Subjects
N/A – May 31, 2020
Ethara AI
LLM Post-Training Intern
January 1, 2026 – April 1, 2026
India
AICTE-EduNet
Cybersecurity Internship
May 1, 2025 – June 1, 2025
India
Malware Detection using Machine Learning
June 1, 2026 – Present
Achieved 95% accuracy using Machine Learning algorithms (Random Forest, Decision Tree) for malware detection and classification, improving detection efficiency and reducing false positives.
Steganography – Secret Messaging in Images
June 1, 2026 – Present
Developed an image-based encryption system using XOR-based pixel manipulation to securely hide and extract messages, applying image processing and data security concepts. Implemented and tested the solution as part of an internship project, documenting findings and presenting results for knowledge sharing.
Recipe Finder Application
June 1, 2026 – Present
Built a responsive web application that integrates third-party REST APIs to search and retrieve recipes based on ingredients. Processed JSON data and optimized search functionality to improve user experience and application responsiveness.
Full Stack Web Development with MERN GenAI
Udemy
June 1, 2026 – Present
Microsoft Azure Fundamentals
Microsoft
June 1, 2026 – Present
Data Analytics Visualization using Excel and Python
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest in AI/ML and cybersecurity, aligning well with an AI Engineer role. The diversity of projects, from machine learning to image processing and web applications, indicates a broad technical curiosity. The 'Currently Learning' section and certifications demonstrate a proactive, self-driven attitude towards acquiring new skills relevant to the AI domain, which is a positive indicator for cultural fit in a fast-evolving field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on defined tasks and achieve specific outcomes (e.g., 95% accuracy in malware detection). The internship experiences suggest an ability to follow instructions and contribute to larger AI/ML workflows. However, the provided data does not offer sufficient insight into collaboration, problem-solving under pressure, or leadership potential.