Yash Srivastava

Machine Learning Engineer | Data Scientist

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Deepseek-V3

* Implemented the Deepseek-V3 transformer model architecture from scratch using PyTorch.

* The model is designed to perform image classification tasks efficiently.

View on GitHub
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GPT-2

* Implemented the GPT-2 model architecture for text generation tasks from scratch.

* Trained the model on the "tiny-shakespeare" dataset, and then later on huggingface's fineweb-edu dataset, achieving impressive results.

View on GitHub
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PyTorch

Implemented and trained various classifiers using PyTorch, from scratch.

Binary Classifier Image Classifier Text Classifier Audio Classifier Image Classifier with Transfer Learning
SigLIP Vision Transformer Banner

SigLIP Vision Transformer

Implementation of Vision Transformer for image classification, from scratch.

View on GitHub
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Power-BI Dashboards

Power BI dashboards to visualize and analyze data from various sources.

Data-Jobs 2024 Beginner Dummy
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PySpark

A beginner-level course on PySpark, covering the basics concepts of data processing and analysis using Spark.

View on Github
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Django Web Applications

Django Web Applications showcase a collection of web applications built with the Django framework.

First Project Littlelemon Restaurant
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Algorithm Design

* Skilled in Dynamic Programming, Bit Manipulation, and hands-on Algorithm Implementations.

* Leveraging LeetCode problem-solving to enhance analytical thinking, improve coding efficiency, and develop optimized solutions for complex challenges in software development.

Leetcode Bit Manipulation Dynamic Programming Algorithm Implementation
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EDA

* EDA projects that demonstrate my ability to uncover insights, patterns, and anomalies within datasets.

* Leveraging a range of techniques; including data visualization, statistical analysis, and feature engineering, transforming raw data into actionable intelligence.

Kaggle Datasets

Work Experience & Education

Teaching Associate

July 2023 - Now

Developed assessments and study materials for several university courses, and helped improving student performance.

ANU

Master of Computing

July 2022 - June 2024

Specialisation in Data Science and Machine Learning

ANU

Computer Vision Engineer

February 2024 - June 2024

Developed ML models to analyze plant leaves using hyperspectral scanners for recombinant protein expression.

APPN

Team Lead & Researcher

July 2023 - November 2023

Developed a PIR sensor system for 3D mapping and movement tracking, enhancing spatial awareness.

ANU

Data Scientist

August 2021 - June 2022

Developed automated stock trading algorithms using ensemble machine learning models and Python.

AlgoT

Bachelor of Technology

July 2016 - June 2020

Specialisation in Computer Science & Engineering

SRMIST

Computer Vision Engineer

June 2019 - July 2019

Used computer vision to automate serial code detection on vehicle parts, improving efficiency.

Alphabt-TVS Motors

Computer Vision Engineer

June 2018 - July 2018

Developed CNNs for automated defect detection in welded surfaces using Python and Keras.

Lucid Software

Software Developer

June 2020 - September 2020

Designed monitoring software for a tunnel boring machine, reaching the final round of competition.

The Boring Competition

AI Researcher

April 2017 - July 2018

Researched and developed ML models for computer vision and NLP using TensorFlow & Keras.

NextTech Labs