AI Engineer with less than a year in Data Science & Robotics
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Final-year B.Tech Computer Science Engineering student with strong foundations in C, Python, HTML, CSS, Javascript and SQL. As a proactive developer, I consistently strive to achieve challenging goals that test and refine my skills. I have collaborated with diverse teams and often played a pivotal role in managing them, taking responsibility for keeping team morale high and driving progress forward. Eager to contribute as an Associate Engineer and grow through challenging projects in a professional software environment.
St. Joseph's College of Engineering and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Chavara Public School
Higher Secondary Education · CBSE
N/A – May 31, 2022
St. Joseph's Cathedral Sr. Sec. School
High School Education · CBSE
N/A – May 31, 2020
Stem Robotics
Intern
May 1, 2023 – May 31, 2023
Thiruvananthapuram, Kerala, India
DevTown
Data Science Trainee
November 1, 2022 – January 31, 2023
Bengaluru, Karnataka, India
TUTOR AI
October 1, 2025 – Present
Designed and developed a fully automated AI Tutor that simulates real human teaching behavior by analyzing student engagement, emotional states, and learning performance in real time. The system dynamically adapts teaching strategies, evaluates student understanding, and provides personalized feedback without human intervention.
DDoS Protection System for Cloud: Architecture and Tool
June 1, 2024 – September 30, 2024
Designed application architecture and provided infrastructure support for a cloud-based DDoS protection system, implementing load balancing, auto-scaling, and Web Application Firewall (WAF) to ensure high availability and security. Built detection tools for identifying DDoS attacks based on traffic patterns, and implemented automated mitigation and recovery mechanisms to ensure minimal downtime. Engineered a real-time monitoring system that reduced DDoS attack response times by 40%, leveraging machine learning algorithms to predict and identify potential threats.
AI News Fake Detection System
February 1, 2024 – April 30, 2024
Integrated multi-source news comparison to validate authenticity and improve prediction reliability. Developed an AI-powered system to classify news articles as real or fake using Machine Learning and NLP techniques. Implemented text summarization and text-to-speech features for enhanced user engagement.
NEIGHBOURLY – Application to help elderly with daily tasks
October 1, 2023 – December 31, 2023
Developed a cross-platform app that can be used to make requests to take care of chores that might otherwise be difficult for homebound people. Integrated features like simple UI/UX, rating system, online payment system and priority based task assignment. Built using Flutter and Firebase Firestore, ensuring cross-platform compatibility and scalability. Novel approach to solve the problems associated with the increase in number of homebound people.
SANCHARI – IMU Sensor Based Indoor Navigation
January 1, 2023 – April 30, 2023
Developing an android IMU sensor based indoor navigation system that provides a solution for the lack of GPS indoors. Implementing 2D to 3D conversion of building plans and Rendering of 3D plans. Integrating accurate machine learning model trained on IMU sensor data. Building a user-friendly android application to access the features.
NPTEL Certification in Fundamentals of AI
IIT Guwahati
April 1, 2024 – Present
Data Science Job Simulation
Forage
April 1, 2024 – Present
Containers and OpenShift
ipsr solutions limited and Valin
February 1, 2024 – Present
Java for Beginners
Infosys via Infosys Springboard
December 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of interests, from educational AI to cybersecurity and elder care applications, indicating adaptability and a broad problem-solving mindset. Participation in hackathons and certifications shows initiative and a drive for continuous learning, which aligns well with a dynamic, innovation-focused culture. The focus on AI-driven solutions across multiple domains suggests a strong alignment with an AI Engineer role.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Time Management, Adaptability, Teamwork, Leadership, Critical Thinking, and Problem-Solving. Project descriptions suggest an ability to collaborate and manage tasks, which are crucial for operational fit. The academic nature of projects and limited professional experience mean these skills are primarily demonstrated in a learning environment.