Education
B.Tech in Computer Science and Engineering
IIT MadrasI am a third-year student at the IIT Madras (Indian Institute of Technology, Madras). I am pursuing B.Tech in Computer Science and Engineering. After graduating, I want to work as a Software Developer or a Data Analyst. I am incredibly passionate about Artificial Intelligence and Machine Learning.
High School
Shivashish Public SchoolCompleted High school with 91.4% from Shivashish school in CBSE medium
Experience
Product Development Intern
Godot Media- Created an LSTM based model using Tensorflow 2 from scratch and deployed it on Narrato’s text editor using Django-Python Framework.
- Extracted a dataset with around 3700 articles scraped from the web and other from Narrato’s DB.
- Cleaned and prepared the dataset for training using regex and NLP techniques.
- Experimented with other models like Neural Net and ULMFit.
Full Stack Developer
Earnvestt Techonologies- Developed full-stack web applications which processed, and simulated the auction process for financial investments.
- Planned, wrote, and debugged web applications and software with complete accuracy.
- Lead a team of three interns and a designer to develop the core website with a pleasing interface.
- Used Django-Python Framework along with AWS instances and MySQL Database.
Associate Web Developer
E-Cell, IIT Madras- Created multiple pages of the official ESummit 2019 Website using Wordpress,which was made live in 2019.
- Integrated Payment Portal Goqles for ESummit Summer Internship Portal 2019 which helped to collect fees of around 1 lac.
Student Volunteer
Shaastra, IIT MadrasInvigilated and helped in organizing Rubiks Open 2019 Shastra. Worked as a helper in many other activities.
Student Volunteer
Saarang, IIT MadrasCollected Proof of Advertisement for the sponsors. Worked with the team to set up different types of marketting stall.
Skills
Python
C++
Django
Tensorflow
Github
Javascript
Pytorch
Html5
CSS
Certificates
Machine Learning
by Stanford University on CourseraLearned some basic but important topics like Linear Regression, Logistic Regression, Support Vector Machines, Unsupervised Learning, Anomaly Detection, Recommender Systems and Photo OCR.
Deep Learning Specialization
by deeplearning.ai on CourseraLearned topics like Optimization Algorithms, Hyperparameter tuning, Batch Normalization and Tensorflow.
Convolutional Neural Network
by deeplearning.ai on CourseraLearned topics like Computer Vision basics, Classic Networks, Residual Networks, Inception Network, Data Augmentation, Detection Algorithms, One Shot Learning, Siamese Network, Face verification and Recognition.
Sequence models
by deeplearning.ai on CourseraLearned topics like RNN , LSTM, GRU, Bidirection RNN, NLP and Sentiment.
