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AI, Python & Cybersecurity Enthusiast | Ethical Hacking | Building Secure, Scalable Software Systems 2nd Year CSE Student @ APSCE
I am Shreesha Anand Pujar, a Computer Science and Engineering student at APS College of Engineering (APSCE), Bengaluru, with a strong interest in software development, artificial intelligence, cybersecurity, and sustainable technology solutions. My technical journey focuses on building practical, user-centric applications that combine innovation with real-world impact. I am particularly interested in human-centered AI, secure digital systems, accessibility-focused software, and environmentally conscious computing practices. I have strengthened my cybersecurity foundation by completing the 70-hour Ethical Hacker Professional Certification through the Cisco Networking Academy, where I gained hands-on experience in identifying system vulnerabilities, ethical testing, and network security principles. My academic and technical contributions have been recognized through achievements such as being honored as a Student Achiever for Academic Excellence by APSCE in September 2025 and earning distinction at the MegaHertz 2025 Technical Symposium. Beyond academics, I actively engage in professional networking, student mentorship, and digital community building. Through consistent learning and knowledge sharing, I have grown a professional network of over 5,000 connections while supporting fellow students in technology and career development. As an aspiring software engineer and technology innovator, I am committed to creating meaningful digital solutions that address real-world challenges and contribute positively to society. Portfolio: shreeshaanandpujar.carrd.co LinkedIn: linkedin.com/in/shreeshaanandpujar
APS College of Engineering, Kanakapura Road, Somanahalli
BE · Computer Science & Engineering
August 18, 2024 – July 30, 2028
EchoFreeAI
April 13, 2026 – July 14, 2026
Transform ordinary Bluetooth headphones into intelligent AI-powered hearing aids. EchoFree AI Hearing Aid is an advanced hearing assistance platform designed to improve speech clarity, reduce environmental noise, personalize hearing experiences, and provide real-time audio intelligence for individuals with hearing difficulties.
View ProjectWaste-Segregation-Recycling-Classification ~ Ecosort-ai
March 19, 2026 – June 21, 2026
Eco-Sort AI is a real-time AI system that uses computer vision to automatically classify waste into recyclable categories using live camera feeds (CCTV, webcam, or smartphone). It provides waste detection, recycling guidance, and analytics to improve efficient waste segregation and sustainable recycling. ♻️
View ProjectTremor-Detection-and-Severity-Analysis
December 9, 2025 – January 13, 2026
A real-time medical screening prototype that detects hand tremors using OpenCV, MediaPipe, and Streamlit, and generates a downloadable PDF tremor report with patient details and graphs. ⚠️ Educational & screening use only. Not a diagnostic medical device.
View ProjectAI-Sketcher
July 14, 2025 – July 15, 2025
A smart, camera-based booth that detects an open-palm gesture, waits for the subject to stay still, captures their image, and creates a cinematic pencil sketch line by line.
View ProjectOpen CV MediaPipe Viusal Calculator
June 11, 2025 – July 8, 2025
A gesture-controlled virtual calculator using Python, OpenCV, and Mediapipe. Use your index finger and tap gestures via webcam to perform touchless arithmetic operations in real time. Lightweight, intuitive, and ideal for exploring computer vision interfaces.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in applying AI and computer vision to practical, often socially beneficial problems (e.g., Tremor Detection, Waste Segregation, Hearing Aids). This aligns well with an innovative and impact-driven culture. The personal projects showcase initiative and a proactive learning approach. However, the lack of professional experience means there's no direct evidence of collaboration within a team or navigating corporate environments, which are key aspects of cultural fit.
Soft Skills & Operational Fit
The candidate's profile highlights strong problem-solving and rapid prototyping abilities. The project descriptions are clear and concise, indicating good communication skills in a technical context. The diversity of projects suggests an ability to work on varied challenges and adapt to different problem domains. However, without formal work experience or psychometric test results, it's difficult to fully assess operational fit, stress handling, or team collaboration skills.