Vishnu Bharadwaj

Software Engineer

Noida, Uttar Pradesh, India2 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Achieved 33% accuracy improvement in load prediction.
Secured 6th place worldwide in NASA CanSat competition.
Developed full stack web applications using modern technologies.

Stackforce AI infers this person is a Fullstack Developer with expertise in Machine Learning and Aerospace applications.

Contact

vmk8826@gmail.com LinkedIn

Skills

Core Skills

Machine LearningPredictive AnalyticsSoftware DevelopmentReal-time Operating Systems (rtos)

Other Skills

AngularJSApollo GraphQLArduinoArtificial Neural Networks (ANN)Bootstrap (Framework)CC++Cascading Style Sheets (CSS)Chart.jsConvolutional Neural Networks (CNN)Database Management System (DBMS)EngineeringGrafanaGraphQLHTML

About

As an intern at Grid Controller of India Limited, I worked on various load prediction strategies and algorithms for predicting prices using machine learning. I modeled various models with ANN and CNN, improving accuracy by 33%. I am pursuing my B.Tech in Electrical and Electronics Engineering at Netaji Subhas Institute of Technology, where I have also participated in several extracurricular and academic projects. I was part of Team Garud, which secured the sixth rank in the world at the NASA CanSat competition, designing and launching a mini satellite. I am also passionate about web development and competitive programming, having solved over 700 questions and achieved a rating of 1600+ on Leetcode. I have developed several full stack web applications using various technologies and frameworks, such as React, Node.js, MongoDB, and Firebase.

Experience

Alphasense

Software Engineer

Jul 2024 – Present · 1 yr 8 mos · Pune, Maharashtra, India · Remote

Grid controller of india limited

Research Intern

May 2023 – Jul 2023 · 2 mos · Delhi, India · On-site

During my tenure, I spearheaded a comprehensive initiative focused on enhancing load prediction and price forecasting using cutting-edge machine learning techniques. Leveraging advanced algorithms, including Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN), we meticulously crafted predictive models tailored to the intricate dynamics of energy load and pricing.
Through rigorous experimentation and fine-tuning, we achieved a remarkable 33% improvement in accuracy, a testament to our commitment to pushing the boundaries of predictive analytics. Our approach not only demonstrated superior performance but also showcased the innovative strategies and methodologies we employed.

Machine LearningArtificial Neural Networks (ANN)Convolutional Neural Networks (CNN)Predictive Analytics

Moksha nsut

Extended Head Security

Mar 2023 – Apr 2023 · 1 mo · Delhi, India · On-site

Team kalpana

NASA CanSat

Dec 2021 – May 2022 · 5 mos · Delhi, India · On-site

Achieved 6th place worldwide in a competition.
As a Ground Station Software Engineer, I designed and implemented ground station software for real-time data analysis. Developed real-time operating system (RTOS) and PCB designs for container and payload systems, ensuring smooth integration. Utilized ReactJS, Node.js, Express, and JavaScript to manage backend and frontend components, improving decision-making. Also contributed to hardware programming in C, C++ for platforms like Arduino and espWroom32 to enhance system efficiency.

Real-Time Operating Systems (RTOS)ReactJSNode.jsJavaScriptCC+++1