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AI Engineer with less than a year in Machine Learning & Python
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A passionate CSE student with a strong interest in Machine Learning and Artificial Intelligence, eager to apply technical skills to real-world problems. Skilled in Python, data analysis, and model building, with a focus on creating practical and efficient solutions. Seeking opportunities to work on innovative projects that enhance both learning and impact. Highly motivated to explore emerging technologies and contribute to meaningful development. Committed to continuous growth in the fields of AI and ML.
Rajiv Gandhi University of Knowledge Technologies (RGUKT)
Bachelor of Technology (B.Tech) · Computer Science Engineering
N/A – June 30, 2026
Stella Maris School
Secondary Education
N/A – Present
RGUKT Srikakulam
Higher Secondary Education (Pre University Course)
N/A – Present
Naval Science & Technological Laboratories, DRDO (NSTL)
Intern
August 1, 2025 – January 31, 2026
Visakhapatnam, Andhra Pradesh, India
SmartBridge
Virtual Intern
May 1, 2025 – July 31, 2025
Hyderābād, Telangana, India
AICTE Virtual Internship
Intern
March 1, 2025 – May 31, 2025
India
Safe URL Detection System
June 1, 2026 – Present
Objective: Built a machine learning model to classify URLs as safe or malicious based on extracted features. Technologies Used: Python, Scikit-Learn, Pandas, URL feature extraction algorithms. Role: Implemented data processing, trained ML models, and optimized classification performance. Outcome: Achieved accurate detection of harmful URLs, helping prevent security threats for users.
Resume Categorizing System
June 1, 2026 – Present
Objective: Developed an ML-based system to automatically classify resumes into categories such as IT, HR, Data Science, and Marketing. Technologies Used: Python, Scikit-Learn, NLP techniques, Pandas, TF-IDF Vectorization. Key Features: Text preprocessing, feature extraction, resume classification, accuracy evaluation. Role: Implemented NLP pipeline, trained classification models, and optimized performance. Outcome: Achieved efficient and accurate categorization of resumes, reducing manual sorting effort.
Smart File Integrity System
June 1, 2026 – Present
Objective: Developed a system to monitor files and detect unauthorized changes, ensuring data integrity and security. Technologies Used: Python, Hashing Algorithms (SHA-256), File Monitoring Modules, Logging System. Key Features: Real-time file monitoring, hash verification, tamper detection, alert generation for modified files. Role: Implemented hashing logic, built monitoring workflow, and designed alert mechanisms. Outcome: Achieved reliable detection of file tampering, enhancing system security and preventing unauthorized access.
Cross Language Meeting Summarizer
June 1, 2026 – Present
Objective: Developed a system to summarize multilingual meeting conversations into concise summaries Technologies Used: Python, NLP, Transformers, Speech-to-text APIs, Tensorflow Key Features: Image preprocessing, CNN-based pattern classification, performance evaluation. Role: Designed, trained, and optimized the CNN model for accurate classification
Bimodal Authentication System
June 1, 2026 – Present
Objective: To develop an automated system that combines voice recognition and face recognition for user identification. Technologies Used: Python, OpenCV, NumPy, LBPH / CNN Model Key Features: Real-time face detection, voice authentication, dataset creation, model training. Role: Implemented face detection, voice preprocessing, feature extraction, and recognition modules. Outcome: Achieved accurate and secure user authentication.
Fabric pattern classification using deep learning
June 1, 2026 – Present
Objective: Developed a deep learning model to classify fabric patterns from images with high accuracy. Technologies Used: Python, TensorFlow, CNN, NumPy, OpenCV. Key Features: Speech transcription, multilingual language translation, meeting summarization, automated report generation Role: Implemented NLP processing, integrated translation and summarization models Outcome: Achieved efficient cross-language meeting summarization
Data Science Certification
Brainovision Solutions Pvt. Ltd
June 1, 2026 – Present
NPTEL IIT Course Certification- Introduction to Virtual Reality
NPTEL IIT
June 1, 2026 – Present
CyberSecurity Essentials
IBM SkillsBuild
June 1, 2026 – Present
AICTE Virtual Internship – Artificial Intelligence
AICTE
June 1, 2026 – Present
NPTEL IIT Course Certification – Object Oriented Analysis & Design (OOAD)
NPTEL IIT
June 1, 2026 – Present
Google Data Analytics Certification
June 1, 2026 – Present
NPTEL IIT Course Certification – Deep Learning
NPTEL IIT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in applying AI/ML to solve real-world problems across various domains (security, healthcare, business process automation). Participation in hackathons and workshops indicates a proactive, team-oriented approach to learning and problem-solving. The diversity of projects (computer vision, NLP, security) suggests adaptability and a broad interest in AI applications, which aligns well with an innovative and growth-oriented culture. However, all experience is academic or virtual internship, so exposure to corporate cultural dynamics is limited.
Soft Skills & Operational Fit
The candidate lists analytical thinking, communication skills, and time management as soft skills. While these are crucial, the provided data does not offer specific examples or evaluations of these skills in action. The academic project descriptions indicate an ability to work on defined objectives and implement technical solutions, suggesting a foundational operational fit for structured tasks. However, senior-level operational fit requires more evidence of leadership, complex problem-solving, and cross-functional collaboration.