AI Engineer with 1+ years in Python, Node.js & Deep Learning
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Highly motivated and results-oriented Computer Science Engineering student with 1.5 years of practical experience in developing full-stack and AI-driven applications. Proficient in Python, Node.js, and JavaScript, with expertise in deep learning frameworks like TensorFlow and Keras. Demonstrated ability to design and implement real-time surveillance systems and complex web applications, focusing on scalable architecture and user-centric design.
Gokaraju Rangaraju Institute of Engineering and Technology
Bachelor of Technology · Computer Science Engineering
November 1, 2021 – May 1, 2025
Narayana Junior College
Intermediate
June 1, 2018 – May 31, 2020
Flight Booking System (Full Stack Project)
March 1, 2026 – June 1, 2026
Developed a full-stack flight booking web application enabling users to search routes, view available flights, and book tickets in real-time. Implemented Dijkstra's Algorithm to compute optimal routes based on cost and time for efficient travel planning. Designed RESTful APIs for flight search and booking, integrated with SQLite database for persistent storage. Built a responsive UI with dynamic rendering, booking confirmation system, and booking history tracking. Structured backend using modular architecture (routes, services, database) for scalability and maintainability.
Smart Shield – Real-Time Fire & Accident Detection System
January 1, 2025 – March 1, 2025
Designed and built an end-to-end real-time intelligent surveillance system to detect fire and accidents from live video streams using deep learning. Integrated automated email alerts with image attachments using SMTP to enable rapid emergency response. Developed a Tkinter-based GUI for authentication, live video input, and system control, enabling non-technical users to operate the system.
Cisco CCNAv7 Certification
Cisco
June 1, 2026 – Present
Machine Learning Certificate
BITS Pilani Hyderabad
June 1, 2026 – Present
Data Analytics with Python – IIT Roorkee (NPTEL)
IIT Roorkee (NPTEL)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a blend of AI/ML and full-stack development, indicating a broad technical interest. The 'Smart Shield' project aligns well with an AI Engineer role, showcasing practical application of deep learning. The 'Flight Booking System' shows versatility and foundational software engineering skills. However, the candidate is still an undergraduate with no professional experience, which might impact immediate cultural integration into a senior-level professional team without mentorship. The certifications in networking (CCNA) and data analytics further broaden the skill set, suggesting a curious and learning-oriented individual.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems (e.g., integrating deep learning with real-time alerts and GUI development). The academic projects suggest a foundational understanding of system design and problem-solving. However, without specific psychometric or English test results, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what's inferred from project descriptions.