Software Engineer with less than a year in Python, Machine Learning, and Cloud (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
A motivated and detail-oriented B.E. Computer Science and Engineering graduate with a strong foundation in Python, Java, C, Machine Learning, and Cloud Computing (AWS). Hands-on experience in image recognition, sentiment analysis, and predictive modeling through academic projects and certifications. A quick learner and collaborative team player seeking an entry-level opportunity to apply technical skills and contribute to organizational success.
M.I.E.T. Engineering College
B.E. · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Sri Vidya Mandir Matriculation Higher Secondary School
Higher Secondary Certificate
June 1, 2020 – May 31, 2021
Sri Vidya Mandir Matriculation Higher Secondary School
Secondary School Leaving Certificate
June 1, 2018 – May 31, 2019
Shiash Info Private Limited
Student Intern
May 1, 2026 – May 31, 2026
Chennai, Tamil Nadu, India
Image Recognition
January 1, 2026 – Present
Situation: Created a model to identify objects, people, and text in images/videos. Task: Designed the ML-based computer vision pipeline. Action: Used Python and ML models for detection and classification. Result: Automated visual analysis and reduced manual monitoring.
Twitter Sentiment Analysis
January 1, 2026 – Present
Situation: Built a model to analyze sentiment of tweets. Task: Collected, cleaned, and processed tweet data. Action: Used Python, NLP, and ML algorithms for sentiment classification. Result: Provided quick insights into public opinion trends.
Employee Performance Prediction & Face Attendance System
January 1, 2026 – Present
Situation: Built a system to predict employee performance and automate attendance. Task: Developed ML model and integrated face recognition. Action: Used Logistic Regression and Python-based facial recognition. Result: Improved accuracy and reduced manual attendance work.
AWS Cloud Practitioner Essentials
Amazon Web Services
June 1, 2026 – Present
Python Fundamentals for Beginners
Great Learning
June 1, 2026 – Present
The Joy of Computing Using Python
NPTEL
June 1, 2026 – Present
Programming Fundamentals Using Python
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are primarily focused on Machine Learning and Python, indicating a specific interest. The certifications in AWS and Python align with modern tech stacks. The 'Active NSS Volunteer' and 'Presented a Paper on Cybersecurity' activities suggest engagement beyond academics, which can contribute positively to cultural fit by demonstrating initiative and broader interests. However, the project diversity is limited to ML/Python, and the experience is entry-level, which might require alignment with teams focused on these areas.
Soft Skills & Operational Fit
The candidate explicitly lists problem-solving, teamwork, communication, time management, and adaptability as soft skills. The academic projects, while individual, suggest an ability to execute tasks and learn new technologies. The 'Student Intern' role, though brief, indicates some exposure to a professional environment. The candidate's proactive pursuit of certifications further supports a self-starter attitude and adaptability.