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AI Engineer with 2+ years in Deep Learning & Full Stack Development
Highly motivated Computer Science and Engineering student with 2.0 years of experience in leading coding events, developing AI-driven applications, and implementing machine learning solutions. Proficient in Python, JavaScript, and various frameworks like React and Next.js. Demonstrated expertise in areas such as Deep Learning, Natural Language Processing, and scalable backend development, with a strong record of problem-solving and achieving high user satisfaction.
Lloyd Institute Of Engineering and Technology, Greater Noida
B.Tech. · Computer Science and Engineering
N/A – June 30, 2026
Cosmos Public School
Senior Secondary
N/A – May 31, 2021
Cosmos Public School
Secondary
N/A – May 31, 2019
GeeksForGeeks
Campus Ambassador Intern
July 1, 2024 – Present
Noida, Uttar Pradesh, India
SAFEREPORT: [Anonymous Crime Reporting App]
June 1, 2026 – Present
Developed a secure platform for anonymous crime reporting, improving privacy and reducing identity exposure risks by 100%. Integrated Gemini API to analyze incidents, generating AI-driven insights and automated report categorization. Built a scalable backend with TypeScript, Prisma, and Neon DB, improving API speed by 35% and enhancing UI responsiveness by 40%.
View ProjectDeepLearning Book: [Deep Learning and Neural Network Implementations]
June 1, 2026 – Present
Built ANN and CNN Networks for classification and prediction tasks using TensorFlow and Keras. Implemented complete ML Pipeline including data preprocessing, feature scaling, model training, evaluation, and hyperparameter tuning to improve accuracy. Visualized model performance with loss and accuracy curves, strengthening understanding of backpropagation, gradient descent, and neural network optimization.
View Projectmultiple GFG certifications for performance
GeeksForGeeks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in organizing coding events, hackathons, and solving numerous coding problems indicates a strong passion for technology and continuous learning, which aligns well with a dynamic tech culture. Their project diversity, ranging from a full-stack application with AI integration to deep learning implementations, shows a broad interest and willingness to explore different technical areas. The target role of 'AI Engineer' is well-aligned with their project experience in integrating AI APIs and building neural networks. The candidate's academic background in Computer Science and Engineering further supports their foundational fit.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through their Campus Ambassador role and involvement in HEX CLAN. Their participation in hackathons and problem-solving challenges suggests a proactive and collaborative work attitude. The detailed project descriptions indicate an ability to articulate technical work clearly, which is a positive for communication. However, without specific psychometric test results, a deeper assessment of stress handling and team collaboration is limited.