Software Engineer with less than a year in AI/ML, Python, and cloud technologies with internship exp
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science Engineering student with hands-on experience in Artificial Intelligence, Machine Learning, and Python-based web applications. Skilled in developing Al-powered solutions using Flask, TensorFlow, NLP, and AWS concepts. Strong problem-solving and teamwork abilities with internship experience in software development and automation projects. Eager to contribute to AI/ML and software engineering roles.
Tirumala Mahila Junior Kalasala
Intermediate
June 1, 2021 – May 31, 2023
Tirumala Proactive (EM) High School
SSC
June 1, 2020 – May 31, 2021
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV)
B.E · Computer Science Engineering
N/A – June 30, 2027
Monocept Consulting Pvt Ltd
Software Intern
July 1, 2025 – October 1, 2025
Hyderābād, Telangana, India
AI-Powered College Chatbot Website
June 25, 2026 – Present
Developed an AI-based chatbot website for college assistance using Flask and Machine Learning. Implemented Natural Language Processing (NLP) using NLTK for intent recognition and automated responses. Integrated a TensorFlow/Keras model for chatbot prediction and response handling. Converted the chatbot application into a standalone desktop executable using PyInstaller. Designed the system to improve accessibility of college-related information for students.
AWS Cloud Foundations
AWS
January 1, 2025 – Present
MongoDB Introduction to AI and Vector Search
MongoDB
January 1, 2025 – Present
Python for Data Science and Machine Learning Bootcamp
Unknown
January 1, 2025 – Present
IBM Python 101 for Data Science
IBM
January 1, 2025 – Present
ANVESHAN 2025 – South Zone Participation Certificate
ANVESHAN
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic project, internship experience, and certifications show a proactive learning attitude and interest in AI/ML and software development. Participation in extracurricular activities and technical events suggests a collaborative and engaged individual. The diversity of projects (chatbot, automated file transfer) indicates a willingness to explore different problem domains. However, as an entry-level candidate, the breadth of experience is limited.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, and time management as soft skills. The project and internship descriptions suggest an ability to work on defined tasks and deliver within scope. However, without direct assessment data, the depth of these skills in a senior operational context is unverified.