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AI Engineer with less than a year in LLM evaluation, prompt engineering, and quantum-based AI system
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer Intern with a strong foundation in Computer Science, specializing in Artificial Intelligence. Experienced in post-training evaluation workflows for multimodal LLM systems, prompt engineering, and human-feedback methodologies. Developed innovative projects including a hybrid quantum-based TB detection system and an eye-controlled virtual keyboard. Proficient in Python, Java, and AI/ML libraries like TensorFlow and scikit-learn. Committed to leveraging AI for impactful solutions.
G PULLAIAH COLLEGE OF ENGINEERING AND TECHNOLOGY
Bachelor of Engineering · Computer Science in Artificial Intelligence
November 1, 2022 – April 1, 2026
AKSHARA SREE JUNIOR COLLEGE
Intermediate Education
June 1, 2020 – May 1, 2022
KIDDYS EM&TM HS ADONI
Secondary School Education
June 1, 2019 – March 1, 2020
ETHARA AI
LLM Post-Training Intern
February 1, 2026 – May 1, 2026
India
HYBRID QUANTUM-BASED TB DETECTION SYSTEM USING CHEST X-RAY IMAGES
January 1, 2026 – January 1, 2026
• Developed a hybrid quantum-classical model for Tuberculosis detection from chest X-ray images using MobileNetV2 and a quantum layer. • Applied preprocessing, uncertainty filtering, and Grad-CAM visualization to enhance model accuracy and interpretability.
HANDS FREE KEYBOARD
June 1, 2025 – June 1, 2025
• Built an eye-controlled virtual keyboard using OpenCV and NumPy for hands-free typing. • Implemented real-time key selection using webcam-based visual input and dynamic UI interaction.
ServiceNow Certified System Administrator (CSA)
ServiceNow
June 1, 2026 – Present
Quantum Fundamentals
Qubitech, WISER
June 1, 2026 – Present
Java Programming
Codetantra
June 1, 2026 – Present
ServiceNow Certified Application Developer (CAD)
ServiceNow
June 1, 2026 – Present
Flipkart GRID 7.0 National Semi-Finalist
Flipkart
June 1, 2026 – Present
Solved 220+ problems on CodeChef
CodeChef
June 1, 2026 – Present
Fundamentals of Deep Learning
NVIDIA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a strong interest and foundational experience in AI/ML, aligning well with an AI Engineer role. The diversity of projects (quantum-based medical imaging, eye-controlled keyboard) indicates a broad curiosity and willingness to explore different AI applications. Participation in competitive programming (CodeChef, Flipkart GRID) suggests a drive for continuous learning and problem-solving, which are positive indicators for cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to work on complex technical problems and contribute to AI development workflows. The academic projects demonstrate initiative and problem-solving skills. However, without specific behavioral assessment data, it is difficult to fully assess soft skills like teamwork, communication, and stress handling.