AI-Assisted Search for Identifying Missing Persons
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Summary
Designed an AI-Assisted Search system using Python, Machine Learning, and Deep Learning to identify missing persons, utilizing image recognition and pattern-matching.
Highly motivated Computer Science graduate with a strong foundation in AI and full-stack web development, consistently delivering innovative solutions. Proven ability to rapidly acquire and apply new skills, demonstrated by a swift promotion to Junior Developer within 3 months and a 150% salary increase. Expert in Python, Java, and AWS, with hands-on experience developing and deploying high-impact applications such as a WhatsApp bulk messaging system, an 85%-accurate AI image classification tool, and an AI chatbot using the Gemini API, all designed to enhance user experience and drive efficiency.
Junior Developer
Visakhapatnam, Andhra Pradesh, India
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Summary
As Junior Developer, advanced from an internship role to lead the development and deployment of full-stack AI and web applications, significantly contributing to product innovation and operational efficiency.
Highlights
Achieved rapid promotion from Intern to Junior Developer within 3 months, increasing compensation by 150% (from ₹10,000 to ₹25,000/month) due to exceptional skill acquisition and project impact.
Engineered and deployed a full-stack WhatsApp bulk messaging system utilizing React, TypeScript, and Node.js, streamlining communication processes.
Developed an AI image classification application with Python, Flask, and MobileNetV2, achieving ~85% accuracy in object recognition.
Designed and implemented an AI chatbot, leveraging the Gemini API with a React and TypeScript frontend to enhance user interaction and support.
Contributed to robust backend architecture by applying expertise in REST API design, Postman-driven testing, and seamless integration workflows across multiple projects.
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B.TECH
Computer Science (Artificial Intelligence & Machine Learning)
Grade: 6.5 CGPA
Issued By
IBM
Issued By
AWS
Issued By
Microsoft & LinkedIn
Issued By
Microsoft & LinkedIn
Issued By
Databricks Academy
Python, Java, C Language, Data Structures, MySQL, MongoDB, Node.js.
HTML, CSS, JavaScript, React JS, React TypeScript, Angular TypeScript.
Cloud Foundation, Compute (EC2, Auto Scaling, Lambda), Storage (S3, EBS, EFS), Linux, Networking (VPC), Security (IAM), RDS, DynamoDB.
Scikit-learn, NumPy, Pandas, TensorFlow, PyTorch, Deep Learning, Algorithm Development, KNN, CNNs, RNNs, Supervised Learning, Unsupervised Learning, Computer Vision, OpenCV.
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Summary
Designed an AI-Assisted Search system using Python, Machine Learning, and Deep Learning to identify missing persons, utilizing image recognition and pattern-matching.
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Summary
Developed a Python and AI-driven system to automate attendance tracking, leveraging computer vision for real-time facial recognition and ensuring efficient, accurate record-keeping.