Software Engineer with less than a year in AI & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering student with a strong foundation in programming, data structures, and algorithms. Passionate about solving real-world problems through technology and constantly learning new tools and frameworks to build scalable and efficient solutions.
BVRIT Hyderabad College of Engineering for Women
B.Tech · Computer Science Engineering
August 1, 2023 – June 30, 2026
Jyothishmathi Institute of Technology and Science
Diploma · Computer Science Engineering
August 1, 2020 – June 30, 2023
St. Mary's Global School, Karimnagar
SSC
June 1, 2019 – May 31, 2020
Heart Disease Risk Factor Assessment Using Retinal Eye Images: A Deep Learning Approach
March 1, 2026 – June 1, 2026
Developed a deep learning-based system using EfficientNetB0 to predict cardiovascular risk and diabetic retinopathy severity from retinal fundus images.
Generating Stories Using LLM (TinyLLaMA)
June 1, 2025 – June 1, 2026
Built an AI-powered story generator using the Ollama server with TTS and interactive UI. Integrated local inference using TinyLLaMA with JavaScript frontend.
Restaurant Management System (Salesforce)
June 1, 2024 – June 1, 2026
Developed a Salesforce app for restaurant order and staff management using low-code tools.
AVL Tree Visualizer (Data Structure)
March 1, 2024 – March 1, 2024
Created a data structure visualisation tool to help users understand AVL balancing and rotations.
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle
January 1, 2025 – Present
Java Programming
CodeChef
January 1, 2024 – Present
SQL Basics
HackerRank
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of interests, from data structures visualization to deep learning and LLM applications, as well as Salesforce development. This breadth of exposure suggests adaptability and a willingness to explore different technologies. The focus on academic projects aligns with an entry-level or junior role, indicating a strong learning orientation. The candidate's objective statement emphasizes continuous learning and building scalable solutions, which aligns with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and problem-solving. The academic projects demonstrate an ability to work on complex technical challenges independently. The English test score of 79 suggests good communication clarity, which is beneficial for team collaboration and documentation.