ML Masters @ Indian Institute of Science || UG @ IIT Guwahati
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lenet-5-with-depthwise-convolution
February 6, 2025 – March 10, 2025
Implemented LeNet-5 network proposed in paper titled "Gradient-based learning applied to document recognition" using PyTorch library in Python. Trained and tested the network using MNSIT dataset
View Projectneural-network-in-numpy
September 25, 2024 – September 26, 2024
I made a Multi Layer Perceptron(Neural Network) in numpy
View Projecttransliteration-of-Names
September 24, 2024 – November 6, 2024
I performed the task of sequence-to-sequence mapping using 3 generation of Encoder-Decoder architectures namely RNN, LSTM and Transformers
View ProjectDevanagri-character-generator
September 6, 2024 – October 18, 2024
Generate alphabets and numbers from devnagri script using GAN and its different variations
View Projectcommunity-detection
August 23, 2024 – September 24, 2024
Implemented couple of classic graph algorithms for purpose of community detections
View Projectword2vec
July 23, 2024 – July 23, 2024
Word2vec with PyTorch: Implementing the Original Paper
View Projectclassical-ml-algos
July 13, 2024 – July 13, 2024
Implementation of standard ml algorithms for regression, classification and clustering
View Projectcustom-gpt2-tokenizer
June 26, 2024 – October 12, 2024
I built a gpt-2 style tokenizer that can be trained on any .txt data to generate tokens
View ProjectImage-Feature-Extraction
June 20, 2024 – March 12, 2025
I performed image feature extraction using SIFT (Scale-Invariant Feature Transform) built from scratch. Additionally, I analyzed the quantitative impact on the number of features detected by the algorithm under various standard transformations such as rotation, blur, etc.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on core machine learning and deep learning implementations. While demonstrating strong technical curiosity and initiative, there is no information regarding collaborative projects, team environments, or contributions to open-source, which makes it difficult to assess cultural fit for a team-oriented role. The projects are highly aligned with a Data Scientist role, particularly one focused on research or advanced model development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.