Sameer Ghawana

Data Scientist

https://talent.gravityer.com/sameer-ghawana

ML Masters @ Indian Institute of Science || UG @ IIT Guwahati

India

Key Strengths

Strong foundational understanding of various deep learning architectures (RNN, LSTM, Transformers, GANs, CNNs).
Practical experience implementing core machine learning algorithms from scratch (neural networks in NumPy, SIFT, classical ML algos).
Demonstrated interest in Natural Language Processing (NLP) with projects like custom GPT-2 tokenizer and transliteration.
Experience with image processing and computer vision tasks (Image Feature Extraction, LeNet-5).
Proficiency in Python and PyTorch for machine learning development.

Cultural & Operational Fit

Cultural 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.

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Projects

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

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sghawana

October 27, 2024 – March 28, 2025

sghawana — GitHub repository

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neural-network-in-numpy

September 25, 2024 – September 26, 2024

I made a Multi Layer Perceptron(Neural Network) in numpy

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transliteration-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

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Devanagri-character-generator

September 6, 2024 – October 18, 2024

Generate alphabets and numbers from devnagri script using GAN and its different variations

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community-detection

August 23, 2024 – September 24, 2024

Implemented couple of classic graph algorithms for purpose of community detections

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word2vec

July 23, 2024 – July 23, 2024

Word2vec with PyTorch: Implementing the Original Paper

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classical-ml-algos

July 13, 2024 – July 13, 2024

Implementation of standard ml algorithms for regression, classification and clustering

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custom-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

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Image-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 Project

Key Strengths

Strong foundational understanding of various deep learning architectures (RNN, LSTM, Transformers, GANs, CNNs).
Practical experience implementing core machine learning algorithms from scratch (neural networks in NumPy, SIFT, classical ML algos).
Demonstrated interest in Natural Language Processing (NLP) with projects like custom GPT-2 tokenizer and transliteration.
Experience with image processing and computer vision tasks (Image Feature Extraction, LeNet-5).
Proficiency in Python and PyTorch for machine learning development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

Sameer Ghawana

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit