AI Engineer with less than a year in AI-powered and full-stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science & AI Honours graduate with hands-on experience in Al-powered and full-stack development. Built an NLP-based Answer Evaluation System that reduced manual effort by 60% and a React.js + Node.js Leave Management platform that improved processing efficiency by 50%. Skilled in PyTorch, TensorFlow, Generative AI (RAG, LLMs), and REST APIs. Completed an AI/ML internship and organised a national-level hackathon with 1000+ participants.
Chaitanya Bharathi Institute of Technology
Bachelor of Technology · Computer Science Engineering - Artificial Intelligence (Honors)
August 1, 2022 – June 30, 2026
GrowTech (Dr.Reddy's Foundation)
Data Science Intern
May 1, 2026 – Present
Bengaluru, Karnataka, India
SkillDzire Technologies
Artificial Intelligence Intern
May 1, 2025 – July 31, 2025
Hyderābād, Telangana, India
Answer Evaluation System
June 17, 2026 – Present
Developed an AI-powered Answer Evaluation System using Python, NLP, and Scikit-learn to assess descriptive answers through semantic similarity analysis, keyword matching, and machine learning-based text classification. Implemented automated score generation, text preprocessing, and database integration, reducing manual evaluation time by nearly 60% while improving accuracy, consistency, and scalability of response assessment.
View ProjectLeave Management System
June 17, 2026 – Present
Designed and developed a Leave Management System using React.js, Node.js/Flask, and MySQL/MongoDB to manage employee leave requests, approvals, attendance tracking, and secure record processing. Built REST APIs, authentication modules, and responsive dashboards to automate workflows, improve leave request processing efficiency by approximately 50%, and streamline approval operations.
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest and commitment to AI and data science, aligning well with an AI Engineer role. Participation in hackathons and organizing a symposium indicates a proactive, collaborative, and driven individual. The diversity of projects (NLP, full-stack web development) suggests adaptability and a willingness to explore different technical areas, which can be beneficial in a dynamic team environment.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through project development (Answer Evaluation System, Leave Management System) and hackathon participation. Their experience as an organizer for a national-level symposium suggests strong organizational and teamwork abilities. The internship roles indicate a capacity for structured data analysis and model development, which aligns with operational requirements for an AI Engineer.