Shaik Maksood
@shaikmaksood
I build AI-driven applications with Python, APIs, computer vision, and data visualization.
IndiaWhat I'm looking for
I've built AI-driven applications spanning biometric student tracking, fruit ripeness classification, and generative AI interfaces. My work combines Python, computer vision, data validation, and visual analytics to turn real-world data into useful outcomes.
During an APSCHE Google Cloud Generative AI internship, I securely integrated APIs using python-dotenv and environment variables and built a responsive Streamlit interface for artifact identification and content generation. I focused on validating outputs, debugging issues, and delivering reliable data handling.
At AIMERS, I trained a MediaPipe hand gesture recognition model that achieved 93% accuracy on real-world data. I also used Python, OpenCV, and TensorFlow for AI solutions while exploring OWASP vulnerabilities through bWAPP, Burp Suite, and OWASP ZAP.
In my Student Identification Track project, I developed facial-recognition-based attendance and performance tracking, centralized student-data validation, and dynamic attendance charts. The visual analytics reduced manual data review time by 30%.
Experience
Work history, roles, and key accomplishments
Google Cloud Generative AI Trainee
APSCHE
Oct 2025 - Mar 2026 (5 months)
Integrated and called APIs securely using python-dotenv and environment variables to manage cloud credentials during deployment. Built a responsive Streamlit interface for artifact identification and content generation, applying debugging and analytical skills to validate outputs.
AI/ML & Cybersecurity Trainee
AIMERS
May 2024 - Jul 2024 (2 months)
Trained a hand gesture recognition model using MediaPipe, achieving 93% accuracy on real-world data through iterative testing and debugging. Explored OWASP web application vulnerabilities using bWAPP and performed hands-on penetration testing with Burp Suite and OWASP ZAP.
Education
Degrees, certifications, and relevant coursework
Godavari Institute of Engineering and Technology
Bachelor of Technology, Computer Science (AI & ML)
2022 -
Grade: 7.77
Pursuing a Bachelor of Technology in Computer Science with a focus on AI and Machine Learning, maintaining a GPA of 7.77.
Narayana Junior College
Intermediate, MPC
2020 - 2022
Grade: 66.2%
Completed Intermediate education with a focus on Mathematics, Physics, and Chemistry, achieving 66.2%.
Sri Sai Vidya Nikethan EM High School
Secondary School Certificate, General
2019 - 2020
Grade: 9.5
Completed secondary education under the Board of Secondary Education with a GPA of 9.5.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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