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AI Engineer with less than a year in Machine Learning & AWS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic Computer Science undergraduate with hands-on project experience and a focus on learning new technologies. Team-oriented and dedicated to delivering reliable solutions. Proficient in Machine Learning, SQL, AWS, Pandas, Numpy, Math, Java, HTML, CSS. Currently pursuing a B.Tech in Computer Science and Engineering, eager to apply academic knowledge to real-world challenges.
Koneru Lakshmaiah Education Foundation
B-TECH · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College
Intermediate
June 1, 2020 – May 31, 2022
Bhurugy International School
Schooling
June 1, 2019 – May 31, 2020
ENTDisease Diagnosis Using MachineLearning
January 1, 2025 – Present
Built a machine learning model to detect ear diseases using XGBoost, Random Forest, SVM, and Logistic Regression. Improved accuracy through feature engineering, preprocessing, and hyperparameter tuning. Evaluated performance using precision, recall, and F1-score. Enabled faster, data-driven decision support for healthcare professionals.
Cloud-Based LanguageTranslation App with AWSTranslate
January 1, 2025 – Present
Developed a serverless multilingual translation app using AWS Translate. Integrated AWS Lambda, API Gateway, and S3 for scalable and low-latency performance. Designed REST APIs for seamless frontend-backend communication. Delivered real-time translation with optimized cloud efficiency.
Image to Text Converter
January 1, 2025 – Present
Created a web app using OCR to extract text from images. Built backend with Flask for image processing and text output. Enhanced accuracy using image preprocessing and noise reduction. Designed a simple UI for quick upload and real-time extraction.
View ProjectIBM Machine Learning
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to practical problems, which aligns with an innovative and problem-solving culture. The diversity of projects (healthcare diagnosis, language translation, OCR) shows a breadth of interest. However, as an undergraduate with no professional experience, the depth of cultural fit cannot be fully assessed without further interaction. The focus on learning new technologies is a positive indicator for adaptability.
Soft Skills & Operational Fit
The candidate lists 'Good Communication' and 'Team Management' as soft skills. While these are valuable, there is no direct evidence from the provided data (e.g., project descriptions, test results) to validate the depth or application of these skills in a professional context. The project descriptions are clear but lack detail on team collaboration or communication challenges.