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AI Engineer with less than a year in Generative AI and Agentic AI systems.
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Final-year Robotics & AI engineering student (CGPA 8.8/10) with strong foundational knowledge of AI/ML algorithms including deep learning, supervised/unsupervised learning, and statistical methods. Completed a 4-month internship building and deploying Generative AI and Agentic AI systems. Proficient in Python, TensorFlow, PyTorch, scikit-learn, and SQL. Experienced in object-oriented development, REST API integration, and Git-based version control. Passionate about applying AI/ML to solve real-world challenges — including high-impact domains like healthcare informatics — and ready to contribute meaningfully as a 1-year intern at Danaher.
Bangalore Technological Institute (BTI)
B.E. · Robotics & Artificial Intelligence
August 1, 2022 – June 30, 2026
St. Francis Comp PU College
XII - Science (PCM + Computer Science)
N/A – May 31, 2022
AI/Tech Organisation
Generative AI & Agentic AI Intern
February 1, 2024 – May 1, 2025
Bengaluru, Karnataka, India
Smart Drone – YOLO Object Tracking & Computer Vision
June 1, 2026 – June 1, 2026
Built a Raspberry Pi-based aerial surveillance drone with real-time object detection achieving 92% accuracy using YOLO deep learning model. Applied computer vision techniques and deep learning inference in a constrained, real-world hardware environment.
Smart Attendance System - Face Recognition
June 1, 2026 – June 1, 2026
Built face recognition pipeline (93% accuracy) using deep learning-backed dlib models; integrated SQLite for secure, structured data storage. Wrote optimised SQL queries for automated reporting and data retrieval.
ROS Robotic Messaging System
June 1, 2026 – June 1, 2026
Developed modular Publisher-Subscriber ROS nodes with 99% stable message delivery; applied OOP principles throughout.
AI/ML Predictive Analytics – Social Media Engagement
June 1, 2026 – June 1, 2026
Trained and compared supervised ML models (Random Forest, SVM, Neural Networks) achieving 87% prediction accuracy after rigorous evaluation. Deployed best model as a production Flask REST API — demonstrating full OOP-based application development lifecycle.
SQL Student Management System
June 1, 2026 – June 1, 2026
Designed complex CRUD operations with joins, triggers, and indexing; reduced query execution time by 85% through systematic query optimisation. Demonstrates strong SQL proficiency and database design capability directly relevant to data-heavy AI/ML pipelines.
HackerRank Python Badge – Basic to Intermediate Python problem-solving proficiency
HackerRank
June 1, 2026 – Present
ROS & Robotics Workshop
Unknown
June 1, 2026 – Present
NPTEL Certificate - Collaborative Robotics: Elite Rank
NPTEL
June 1, 2026 – Present
1st Place - Robotics & AI Competition: Certificate of Merit
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from drone vision to predictive analytics and robotics, indicates a broad interest in AI applications. The internship in Generative AI and Agentic AI aligns well with cutting-edge industry trends. Their participation in robotics competitions and workshops suggests a proactive and competitive spirit, which can be a good cultural fit for innovative tech environments. However, the experience level is very junior (0 years of full-time experience), which might require more mentorship and ramp-up time in a fast-paced production environment.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, communication, teamwork, and rapid learning, which are crucial for an AI Engineer role. Their experience in collaborative branching workflows and working with senior engineers indicates good operational fit for team environments. The academic projects show initiative and ability to apply theoretical knowledge to practical problems.