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
IPL-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.
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 ProjectThe candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a very strong command of the subject matter and related skills.
Strengths
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.
Limitations