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AI Engineer with less than a year in Python, Machine Learning, and full-stack development
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Assessing your cultural and operational fit
MCA graduate from Andhra University (CGPA 8.5) specializing in Python, Machine Learning, and full-stack development. Built AI-powered desktop and web applications with real-time gesture recognition and ML-based career prediction. Seeking an entry-level role in AI/ML or software development.
Andhra University
Master of Computer Applications
August 1, 2023 – June 30, 2025
Prism Degree College
Bachelor of Computer Science
August 1, 2021 – June 30, 2023
Narayana Junior College
Board of Intermediate AP
June 1, 2018 – May 31, 2020
Narayana School
Secondary School Certificate
June 1, 2017 – May 31, 2018
AI-Powered Resume Analyzer and Skill Recommendation System
June 1, 2026 – June 1, 2026
An AI and NLP-based web application that analyzes resumes, predicts suitable job roles, extracts skills, and recommends relevant skills for career improvement. Responsibilities: • Developed an AI-powered Resume Analyzer using Python, Natural Language Processing (NLP), and Machine Learning techniques to predict suitable job roles from resume data. • Implemented PDF resume parsing and automated skill extraction using text processing techniques and a predefined skills database. • Built a TF-IDF feature extraction pipeline and trained Machine Learning classification models using Scikit-learn for accurate resume classification. • Designed and deployed an interactive Streamlit-based web application that provides job role prediction, skill analysis, and skill recommendations for career enhancement. Environment: • Languages: Python • Libraries & Tools: Scikit-learn, Pandas, NumPy, PDFPlumber, Pickle • Frameworks: Streamlit • Platforms: VS Code, Jupyter notebook
G.A.I.A (GESTURAL AND AUDITORY INTELLIGENT ASSISTANT)
January 1, 2025 – May 1, 2025
Gestural and Auditory Intelligent Assistant is an AI-Powered desktop assistant that responds to both Voice Commands and hand gestures for seamless control. Responsibilities: • Built an AI desktop assistant in Python supporting 15+ system automation tasks with voice and gesture input, achieving average response time under 2 seconds. • Implemented rule-based logic for decision-making, enhancing system reliability and accuracy in gesture recognition. • Designed and validated 3 independent modules - speech processing, gesture recognition, and real-time automation - with rule-based decision logic improving recognition accuracy. Environment: • Languages: Python • Libraries & Tools: OpenCV, Pyttsx3, SpeechRecognition, Pandas, NumPy, Matplotlib • Platforms: Jupyter Notebook, VS Code
Artificial Intelligence & Machine Learning – 3 Month Training Program
Unknown
June 1, 2026 – Present
Prompt Design in Vertex AI – Google Cloud Skill Badge
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in AI/ML, aligning well with an AI Engineer role. The projects showcase initiative and a practical approach to applying AI concepts. The certifications in AI/ML and Prompt Design in Vertex AI further indicate a proactive learning attitude. However, the lack of professional experience and team-based projects (both listed as 'Team Size: 1') limits the assessment of broader cultural fit aspects like collaboration in a professional team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on complex technical tasks, manage project modules, and deliver functional applications. The focus on practical application and problem-solving suggests a results-oriented approach. However, without direct work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or broader work attitude.