Aditya Jindal

Full Stack Developer

Summary

Majors in Economics & Minor in Machine Learning, with expertise in machine learning, statistics, and quantitative research.

Experience

Quantitative Research Intern

July’21 – Aug’21

Alpha Unit Technologies

Built ML and statistical models to predict market signals which can support Elliott wave predictions for S&P 500 stocks. Devised momentum indicators like Relative Strength, Stochastic Oscillator, Momentum Price Strength for signal predictions.

Computer Vision Intern

Apr’21 – June’21

KamerAI - Recode Solutions Enterprise

Implemented an efficient framework to detect arbitrary-shaped text on tote packages for product-id recognition. Improved the inference speed by 1.5 FPS on our custom Tote-ID dataset and by 6 FPS on ICDAR-2015 Dataset.

Deep Learning Intern

May’20 – July’20

KPIT Technologies Ltd.

Worked on multiple event detection in a video to be further used in testing autonomous vehicles. Achieved weighted F1 of 0.8 on test data.

Projects

Efficient and Accurate Arbitrary-Shaped Scene Text Detection

Apr’21-May’21

Developed a lightweight framework for detecting arbitrary-shaped text on packages to improve product-id recognition.

PyTorch · Dlib

Face Recognition using Dlib Toolkit

May’21-June’21

Applied Dlib metric learning for embedding extraction from images to predict names based on facial recognition.

C++ · Dlib

Skills

PyTorch, Keras, Tensorflow, Scikit-Learn, NumPy, Textattack, Dlib, OpenCV, Pandas, C, C++, HTML, LaTeX, Python, R, SQL, Stata, Matlab

Education

Indian Institute of Technology Kanpur

2017 – 2022

B.S.-M.S.

Bright India Public School

2017 – 2017

CBSE (XII)

Maharaja Agrasen Public School

2015 – 2015

CBSE (X)