AI Algorithm Developer
Aarish Technologies, Canada (Remote)
Worked on optimisation of the training script for the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"
by Google and trained it on the VGG Face2 dataset with 3.3 million images. My work mainly included:
Writing code for creating triplets that is positive, negative and anchor image from the dataset and pass it to the dataloader.
Connecting our pytorch script with weights and biases for better visualization.
Tuning some important parameters like learning rate, margin of triplet loss and batch size.
Writing code that would truncate the parameters of the pytorch model to 8 bits at the time of training and also post training.
March 2022 - Present
AI/ML Consultant
Averyx Group, Dubai (Remote)
I was responsible for working on a project that recommends the best stocks to a customer from a pool of around 10k stocks.
I had developed the ranking system and worked on data pipelining, development of strategies and calculating return percentages
using a library called backtesting.py . The tech stack included Flask, Bootstrap, backtesting.py and other ML related libraries.
June 2021 - December 2021
Machine Learning Educator Intern
Acadboost Private Limited, India (Remote)
My job at Acadboost was to create a full fledged 25 hours course on Machine Learning for poeple who are absolutely beginner in Programming
The Course included tutorials on Python, Numpy, Pandas, Matplotlib, Seaborn, Sci-kit Learn, thoery and application of some ML algorithms like
Linear Regression, Logistic Regression, Decision Tree and Random Forest, some feature engineering techniques like handling missing values, outliers
and categorical variables and some introduction to deep learning.
August 2020 - October 2020
Core Team Member
Google Developers Students Club, KGEC
My duty at my college's Developer Club is to promote Machine Learning to all the students interested in ML. Recruit People who are good at Machine Learning to the Club
Conduct Ocassional sessions that focuses on different Machine Learning Ideas.
March 2020 - Present