Hi There,
I'm Ashutosh Chauhan

I Am Into

About Me

About Me

I'm Ashutosh

Full Stack Developer

I am a Full-Stack developer based in College Station, Texas. Computer Science Graduate student from Texas A&M passionate about using Software, Data Science and Management skills to contribute to undergoing technology-led human revolution.

Email : ashutosh@tamu.edu

Place : College Station, Texas

Skills & Abilities

My Education

Education is not the learning of facts, but the training of the mind to think.

Master of Computer Science

Texas A&M University | College Station

2022-2024 | GPA - 4.0 / 4.0

Bachelor of Technology | Electrical

National Institute of Technology | Kurukshetra

2014-2018 | CGPA - 9.31 / 10.0

Senior High School | PCM

2012-2014 | Percentage - 93%

Secondary School

2010-2012 | CGPA - 10.0 / 10.0

Patent, Publication and Projects

PATENT: MIRROR AND HUD ADJUSTING SYSTEM AND A METHOD

Invented an algorithm and a system for automatic adjustment of vehicle mirrors and Head-up display based on most prominent position of driver enhancing user personalization.

PUBLICATION: Police In-Vehicle Technology Adaptation

The proposed system offer a novel approach to integrate context-aware technology into police vehicles.

AI-Querist
(Generative AI Chatbot)

Developed and integrated WhatsApp chatbot with LLM using Retrieval-Augmented Generation (RAG) for intelligent responses to Texas A&M courses related user queries.

ADAPT LEO - Adaptive Driver Assistance System

Designed Adaptive Driver Assistance Systems on vehicle simulator to improve Law enforcement officers' cognitive performance in emergencies by using various ML algorithms to predict real-time workload.

EMG Based Prosthetics

Developed ML models to classify workload using Electromyography based prostheses, enhancing the capabilities of upper limb amputees in performing daily tasks.

Meme Recommendation System

Developed a content-based recommendation system using BERT and word2vec for meme embeddings, integrating the soft cosine algorithm for dynamic recommendations driven by user interaction. Achieved NDCG score of 0.74.

Full Stack Web-App Development
[React + Flask]

GLOBAL INFLATION DYNAMICS - The visualization project facilitates study of Global Inflation through the years and is a dynamic tool for correlating various other parameters that are linked to it.

Gradebook Web-App [Django]

The main idea behind this project is to create an analytics-based prediction model which gives the real time grade/feedback to the students.

Image Classification - Dual Path Network

This project uses a Dual Path Network which is a combination of Res-Net as well as Dense-Net and rectifies the shortcomings of Res-Net.

PCA vs Autoencoder - Handwriting Recognition

Implementation and comparison between PCA and the autoencoder (AE) to a collection of handwritten digit images from the USPS dataset using PyTorch.

Implicit Recommendation System

Built a Recommender System with implicit feedbacks using various algorithms like User-User Collaborative Filtering (CF), Matrix Factorization (MF), Bayesian Personalized Ranking (BPR) and comparing results.

Kernel vs Neural Network - MNIST Classification

Implementation and comparison between two kernel models and a neural network model in binary classification task on a partial dataset from MNIST using PyTorch.

Digital IPC Application

Developed application for vehicle IPC in Qt IDE implementing backend in Java and frontend in QML and JavaScript.

RNN Language modeling

Implemented a recurrent neural network (RNN) for language modeling using Pytorch

Lyrical Mini Search Engine

Implemented a text-based mini search engine using TF-IDF and BM-25 Ranking methods and comparing results.

Parallel Strassen Multiplication using OpenMP

Parallel implementation of Strassen's recursive algorithm using OpenMP

Deep Res-Net : Image Classification

Implemented advanced convolutional neural networks (Deep Res-Net) on CIFAR-10 using PyTorch.

Roboguard - The Scout Robot

Designed a robot that could travel autonomously scanning for perimeter anomalies at places where manned security would be impractical or expensive..

Roborynth

All terrain phone controlled wireless robot with a robotic hand.

Microsearch

Motivated by Swachh Bharat (Clean India) Mission, designed a cleaning robot.

Experience

Hewlett Packard Enterprise (HPE)

System Software Engineer II | Cloud Data Infra

May 2023 - Aug 2023

Human System Interaction Lab

Research Assistant | Texas A&M

Jan 2023 - May 2024

Maruti Suzuki | R&D

Senior Software Engineer (Deputy Manager)

Apr 2022 - Jul 2022

Maruti Suzuki | R&D

Software Engineer (Assistant Manager)

July 2018 - Apr 2022

Gas Authority of India Ltd (GAIL)

Intern

May 2017 - July 2017

Haryana Power Generation Corp Ltd

Intern

June 2016 - July 2016

Awards and Achievements

Recommendations

"Ashutosh worked in the human-system interaction (HSI) lab during the spring 2023 and Fall 2023 semester. He did a great job coding the driving simulator and integrating the results of machine learning models with the simulator. Ashutosh was effective in his communication and delivering results."

Dr. Maryam Zahabi

Assistant Professor, Texas A&M University

"Ashutosh, a talented and dedicated individual who recently completed his internship at HPE. Ashutosh made an exceptional addition to our team, and his contributions left an indelible mark on our organization.

One of the most notable accomplishments during Ashutosh's internship was his pivotal role in a highly impactful project. With great initiative, Ashutosh undertook the challenge of constructing a web tool from the ground up, specifically designed for the analysis and visualization of hardware component utilization within the storage array."

Manjula Rudraiah

Scrum Master/System Engineer, HPE

"I had the privilege of managing Ashutosh while he was a member of the Digital Cockpit/Infotainment team at Maruti Suzuki. As his Senior Manager, I can attest to his exceptional abilities as a software developer. He consistently delivered high-quality results on time and within budget, even when faced with complex projects.

Ashutosh's technical skills are outstanding, and he has a deep understanding of software development best practices. He demonstrated this by designing and developing multiple features for In-vehicle Infotainment System and Instrument Panel Clusters. Additionally, his coding skills are exceptional, with a talent for writing clean, efficient, and maintainable code."

Satish Pandey

Senior Manager (R&D), MSIL

Extra Curricular

Sketch: Actress Deepika

Sketch: Anusha

Painting: Canvas (Snowy Sunset)

Painting: Anamorphic

Painting: Mural

Sketch: Shrinkhala

Painting: Backdrop

Sketch: Mustang

Art: Rangoli

Sketch: Ashwani

Sketch: Preety

Sketch: Srishti

Poster: Make-in-India

Sketch: Anusha

Art: Tattoo