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AI Engineer with less than a year in Deep Learning & JavaScript
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 – June 1, 2026
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 project portfolio shows a strong interest in AI/ML, data structures, and web development, indicating a broad technical curiosity. The academic nature of all projects suggests a learning-oriented individual. The participation in coding challenges (LeetCode, CodeChef) and certifications demonstrates a drive for self-improvement and a competitive spirit. The focus on AI-related projects aligns well with an AI Engineer role, suggesting a good cultural fit for a team focused on innovation and technical depth.
Soft Skills & Operational Fit
The candidate's objective statement highlights a passion for solving real-world problems and continuous learning, suggesting a proactive and problem-solving mindset. The diversity of academic projects indicates an ability to adapt to different technical challenges and potentially collaborate on varied tasks. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific communication styles in a professional setting.