Nikhil's Resume PDF
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Uploaded by PropitiousPhotorealism
Amity University
Nikhil
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Summary
Nikhil is a software engineer with experience in developing applications using React.js, Flask, and MongoDB. His skills include deep learning, computer vision, and natural language processing. He has experience working with Arduino-Uno, Python, and YOLO v5.
Full Transcript
NIKHIL +91-9643285226 § GitHub Profile # [email protected] ï LinkedIn Profile Education Amity University Noida...
NIKHIL +91-9643285226 § GitHub Profile # [email protected] ï LinkedIn Profile Education Amity University Noida 2021-2025 B.Tech Artificial Intelligence CGPA: 8.52 Sr. Shree Ram Model High School 2021 Senior Secondary - CBSE Percentage: 95.6 Sr. Shree Ram Model High School 2019 Secondary - CBSE Percentage: 92.4 Experience Brillanz Software Solutions LLP May-Jul(2024) Software Engineer Trainee Pune – Developed an Automatic Question Generator App using React.js and Flask, enhancing efficiency in creating educational materials. – Implemented MongoDB to store generated questions and integrated image extraction from PDFs. – Streamlined the question generation process by automating text and image handling. Personal Projects Deception Detection using EEG signals Jan-Mar(2024) The project aims to classify patients’ Deception and truth behaviour using their EEG Signals. – Tools & technologies used: Deep Learning - Convolution Neural Networks, Google Colab – Developed a Deception Detection system using EEG signals, employing 2D CNN and STFT techniques to create spectrograms. – Classified EEG signals into deception or truth categories with an efficiency of approximately 68%. Smart Traffic Management Mar 2024 Implemented a traffic optimization system with Arduino Uno and Python and Computer vision, leveraging YOLO v5. – Tools & technologies used: Arduino-Uno, Python, C, Yolo v5, Computer vision – Designed and implemented a traffic management system with Arduino Uno and Python to optimize vehicle waiting times at intersections. – Achieved dynamic traffic light control, checking and adjusting light timings every 5 seconds based on traffic density data. Intent Recognition-based Chatbot Jun 2023 Developed a chatbot using NLP and neural networks for intent recognition and voice response. – Tools & technologies used: Artificial Neural Networks, Natural Language Processing, NLTK – Implemented voice input and response capabilities, enhancing user interaction through spoken prompts and replies. – Leveraged NLP technology to convert user prompts into a bag of words for accurate intent identification. Certifications Cisco CCNAv7: Introduction to Networks NPTEL Certification on Python for Data Science (top 2%) Key Courses Data Structures and Algorithms, Database Management Systems, Operating Systems, Digital Electronics and Computer Architecture, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Exploring the Networks Technical Skills Programming: Python, Java, C, JavaScript, SQL Tools: Jupyter Notebook, Google Colab, Vs code, MATLAB, Cisco Packet Tracer Libraries and Frameworks: Tensorflow, Keras, numpy, pandas, Scikit-learn, React.js
