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AI Engineer with less than a year in AIML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A 2026 graduate specializing in AIML and has strong skills in Python, machine learning. Interested in creating smart solutions and using predictive modeling to solve real-world problems.
Kakatiya Institute of Technology and Science
Bachelor of Technology · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Narayana Junior College
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Gurukul The School
Secondary School (SSC)
June 1, 2019 – May 31, 2020
NIT Warangal (Sponsored by BOEING)
AIoT & Its Applications Intern
March 1, 2026 – June 1, 2026
Warangal, Telangana, India
Portable Assistive Voice Device for Visually Impaired
June 20, 2026 – Present
Built AI device using YOLO for object detection and GTTS for voice output. Provided audio feedback to help visually impaired users identify objects. Achieved accurate real-time object recognition.
View ProjectIPL-Win Predictor
June 20, 2026 – Present
Built a linear regression model achieving 89% accuracy using 10+ seasons of IPL historical data. Engineered 15+ features, including venue statistics, team performance metrics, and player form indicators. Conducted data preprocessing and feature engineering to improve model prediction accuracy.
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a very strong command of the subject matter and related skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects (IPL-Win Predictor, Portable Assistive Voice Device) demonstrate a proactive approach to applying AI to diverse problems, including social impact. The internship with BOEING at NIT Warangal further highlights an interest in industry-relevant AI applications. This diversity in projects and a clear focus on AI/ML align well with an AI Engineer role, suggesting a good cultural fit for an innovation-driven environment. The low psychometric score, however, might indicate potential challenges in certain aspects of work attitude or stress handling, which could impact team dynamics.
Soft Skills & Operational Fit
The candidate's resume lists 'Quick Learner, Time Management, Team Collaboration, Adaptability' as soft skills. While the psychometric test score is low (222/500), the specific evaluation focus areas (logical reasoning, work attitude, stress handling, team collaboration) suggest potential areas for development in these operational aspects. However, the project descriptions and internship recognition imply a capacity for effective collaboration and project delivery.