AI-Powered Resume Screener
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Summary
Built a system that uses NLP and ML models to rank or filter resumes.
About
Highly passionate and detail-oriented Software Developer with a strong foundation in AI and Machine Learning, adept at building efficient, scalable, and high-quality applications. Recognized among the top 5% of his university batch and consistently ranked in the top 10% of global coding contests (Codeforces, LeetCode, Google Kick Start). Eager to leverage comprehensive full-stack development expertise and problem-solving skills to contribute to innovative software solutions.
Work
Independent Software Development & Projects
|Full-Stack Developer | AI/ML Engineer
Lucknow, Uttar Pradesh, India
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Summary
Spearheaded the design, development, and deployment of diverse software solutions, including full-stack web, mobile, and desktop applications, leveraging expertise in AI/ML and database management.
Highlights
Developed and deployed 5+ full-stack web applications using modern technologies including HTML, CSS, JavaScript, Node.js, Express, and MongoDB, demonstrating end-to-end development capabilities.
Engineered diverse mobile applications for cross-platform (Flutter, React Native) and native (Kotlin, Swift) environments, expanding user reach and enhancing mobile experiences.
Contributed actively to multiple open-source projects on GitHub, successfully submitting accepted pull requests and collaborating effectively within a version-controlled environment.
Designed and implemented robust RESTful APIs, seamlessly integrating them with frontend applications to ensure efficient data flow and system interoperability.
Built versatile desktop applications utilizing Java, C++, and Python (Tkinter/PyQt), showcasing adaptability across various programming languages and application types.
Gained practical experience through internships in software development and IT, applying theoretical knowledge to real-world challenges and contributing to project life cycles.
Managed and optimized relational and NoSQL databases, including MySQL, PostgreSQL, and MongoDB, by designing efficient schemas and writing complex queries to support scalable application data.
Education
Dr. A.P.J. Abdul Kalam Technical University
Lucknow, Uttar Pradesh, India
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Bachelor of Engineering
Computer Science and Engineering (AI)
Grade: Among the top 5% of the batch
Courses
Machine Learning
Artificial Intelligence
Data Structures and Algorithms
Certificates
Applied Data Science with Python Specialization
Issued By
University of Michigan
Google Data Analytics Specialization
Issued By
Skills
Programming Languages
Python, C++, Java, Kotlin, Swift, JavaScript, HTML, CSS, SQL.
Web Technologies
Node.js, Express.js, RESTful APIs, Full-Stack Development.
Mobile Development
Flutter, React Native, Kotlin, Swift.
Desktop Development
Java, C++, Python, Tkinter, PyQt.
Databases
MySQL, PostgreSQL, MongoDB, Schema Design, Query Optimization.
Machine Learning & AI
NLP, Deep Learning, CNNs, TensorFlow, Keras, NLTK, spaCy, Sentiment Analysis, Facial Recognition, Resume Screening.
Data Structures & Algorithms
DSA, Problem Solving, Competitive Programming.
Version Control
Git, GitHub.
Projects
Sentiment Analysis Tool
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Summary
Created a sentiment analysis tool to classify text.
Secure Face Recognition System
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Summary
Developed a facial recognition application for secure login or attendance.
AI-Powered Chatbot
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Summary
Developed an AI-powered chatbot for customer support and FAQs.
Handwritten Digit Recognizer
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Summary
Trained a neural network on the MNIST dataset to recognize handwritten digits.