AI Engineer with less than a year in Machine Learning & Data Science
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Artificial Intelligence and Data Science professional with hands-on experience in machine learning, deep learning, and computer vision. Proficient in Python and modern AI frameworks, with a proven ability to develop and optimize models for real-world applications. Skilled in data preprocessing, model development, and analytical problem-solving. Seeking an AI-focused role to contribute to innovative and impactful solutions.
Dr. Mahalingam College Of Engineering and Technology
UG · Artificial Intelligence and Data Science
N/A – June 30, 2026
Reaidy.io
Data Quality Labeling Intern
January 1, 2026 – April 1, 2026
Visakhapatnam, Andhra Pradesh, India
Ielektron Technologies
AI/ML Intern
June 1, 2024 – July 1, 2024
Chennai, Tamil Nadu, India
UNLOCK TAMILNADU: AI DRIVEN TRAVEL
May 1, 2025 – June 1, 2025
Developed an AI-powered travel recommendation system focused on promoting tourism in Tamil Nadu. The system leverages machine learning and natural language processing to suggest personalized travel itineraries based on user preferences, interests, and real-time data. Integrated local culture, historical significance, and seasonal insights to enhance the user experience.
MULTI-CLASS OBJECT DETECTION
June 1, 2024 – July 1, 2024
Developed a Multi-class object detection system for ADAS aims to enhance situational awareness and safety in automotive systems by accurately detecting and classifying objects such as cars, pedestrians, and cyclists using image processing and deep learning. Key components include pre-processing with OpenCV, model training with TensorFlow and an intuitive frontend interface for clear visual indicators.
OPTIMAL PLACEMENT ENDEAVOUR
March 1, 2024 – April 1, 2024
Developed a Placement prediction system using Random Forest classifiers to analyze student data and predict placement outcomes. The system will provide insights into factors influencing job placements and help students and institutions make informed decisions. Ensure high accuracy and user-friendly interfaces for easy interpretation of results.
Deep Learning Specialization
Coursera
June 1, 2026 – Present
Applied Data Science with Python
Elewayte
June 1, 2026 – Present
Google Machine Learning with Python
IBM
June 1, 2026 – Present
Probabilistic Graphical Models
Coursera
June 1, 2026 – Present
Mathematics for Machine Learning
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on real-world applications (tourism, ADAS, placement prediction). The internships show an interest in practical application of AI/ML concepts. The breadth of certifications indicates a proactive approach to learning and skill development, which aligns with a culture of continuous improvement. However, the candidate is still early in their career, and their experience is primarily academic and internship-based, which might require mentorship to fully integrate into a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and integrate various technical components. The internship experience suggests an understanding of data quality and model improvement processes. However, without direct assessment data on collaboration, problem-solving under pressure, or communication in a team setting, a comprehensive evaluation of soft skills and operational fit is limited.