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AI Engineer with less than a year in Machine Learning, Deep Learning, and Computer Vision.
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Assessing your cultural and operational fit
Riya Arora is a highly skilled AI/ML professional with a strong foundation in Computer Science & Engineering (AI). She possesses hands-on experience in various AI frameworks, including TensorFlow, Keras, and PyTorch, and is proficient in Python, R, and Java. Her background includes developing real-time object detection systems, AI-based stock forecasting apps, and smart attendance systems utilizing face recognition and emotion detection. With a proven ability to apply theoretical knowledge to real-world data projects, Riya is passionate about leveraging AI to create innovative solutions.
DAV University, Jalandhar
B.Tech · Computer Science & Engineering (AI)
January 1, 2022 – January 1, 2026
The Core Systems
AI Developer Intern
June 1, 2025 – July 1, 2025
Chandigarh, Chandigarh, India
Mindcode Lab Pvt. Ltd.
Python & ML Developer Intern
June 1, 2024 – July 1, 2024
Mohali, Punjab, India
Intel® Unnati
AI/ML Trainee
June 1, 2024 – July 1, 2024
India
AI-Based Stock Forecasting & Comparative Visualization Web App
June 21, 2026 – Present
Built an AI-based stock forecasting web app using Flask and ARIMA time-series modeling, enabling historical data retrieval, price direction prediction, and multi-stock candlestick chart comparison.
AI-Powered Real-Time Object Detection with Voice Alerts
June 21, 2026 – Present
Developed an AI-powered real-time object detection system using YOLOv8 and OpenCV with voice alerts for newly detected objects via text-to-speech.
Lecture Lens – AI-Based Face Recognition Attendance System
June 21, 2026 – Present
Developed an AI-powered smart attendance system that uses Face Recognition and emotion detection to automatically mark student attendance in real time. The system supports lecture-wise attendance, faculty and timetable management, emotion analysis, attendance analytics, CSV export, and an admin panel for managing students, faculty, and lectures through an interactive web interface.
Custom AIML Chatbot
June 21, 2026 – Present
Developed a custom AIML-based chatbot in Python capable of multi-turn conversation and broad Q&A, leveraging LLM integration for improved response quality.
AI using Python (45 days)
Unknown
July 1, 2025 – Present
Machine Learning using Python (45 days)
Unknown
July 1, 2024 – Present
Python Programming (45 days)
Unknown
June 1, 2024 – Present
Intel® Unnati -Inference on CPU & LLM Fine-Tuning (3 months)
Intel
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science & Engineering (AI) and a series of AI/ML-focused internships and projects align well with an AI Engineer role. The diversity of projects, from face recognition and object detection to stock forecasting and chatbots, indicates a broad interest and foundational exposure to various AI domains. The internships, particularly with Intel Unnati, show a proactive approach to gaining industry-relevant skills. This breadth of experience, even at an early career stage, suggests a good cultural fit for a role that requires continuous learning and application of diverse AI techniques.
Soft Skills & Operational Fit
The candidate lists leadership, problem-solving, analytical thinking, team collaboration, project management, and communication as soft skills. While these are crucial for an AI Engineer, the provided data does not offer specific examples or assessments to validate their proficiency in these areas. The academic project descriptions suggest some level of problem-solving and technical execution.