May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · Hybrid

May 2022 – Jul 2022 · 2 mos · Remote

• ● Part of the Research and development team working to solve problem using Reinforcement learning
• ● Researched and implemented Deep Q learning to solve the image to text problem
• ● Developed and evaluated the algorithm to extract text from the document using OCR and return the string
• using trained RL model, designed specific reward function for the same.
• ● Further extending the problem statement to generate a 3D CAD model from the 2D image.

Dec 2021 – Oct 2022 · 10 mos

• 1. Working to generate signals for option trading in Indian stock market using historical and forecasting measures.
• 2. Deployed privately owned web based real time application to track markets and trade with the help of statistical metrics, Machine learning and data analysis.

Dec 2021 – Mar 2022 · 3 mos

• Deep learning based research to solve complex EEG brainwaves data patterns.

Dec 2021 – Feb 2022 · 2 mos

• 1. Researched to achieve detection of copy move and splicing forgery in textual documents, created algorithm using Hu and Zernike moments to detect forged characters in a scanned document.
• 2. Managed Azure portal for various tasks.

Dec 2021 – Jan 2022 · 1 mo

• 1. Designed and deployed Web based golf application to track shots and improve efficiency.
• 2. Implemented various image processing tools/methods to achieve tracking of golf ball in real time.
• 3. Player uses camera to track his/her golf shots : speed, path to further improve the shot selection.

Jun 2021 – Aug 2021 · 2 mos · India

May 2021 – Aug 2021 · 3 mos

• 1. Researched to create autonomous virtual bots without using 3D data from Lidar, did extensive research on CNNs (Convolution Neural Networks) for autonomous navigation.
• 2. Testing autonomous driving of virtual bot in Unity, using a 3D model of the virtual environment,
• trained on 20k images dataset extracted from cameras embedded in the virtual bot, implemented various data augmentation methods.

Jan 2020 – Aug 2021 · 1 yr 7 mos

• Working with a team of 13 members on building a triphibian robot designed to operate on land, water, and air.
• The project aims at the development of a new remote-controlled triphibian vehicle in order to carry out surveillance operations.
• The key feature of the bot is Motion Control in 3 mediums, ROS Integration, Computer Vision, Obstacle Avoidance, Mapping, and Path Planning, ML, and DL.

May 2021 – Jun 2021 · 1 mo

• 1. Researched DORA (DevOps Research and Assessment) and other metrics for gitlab needed to track and analyse CI/CD of Gitlab.
• 2. Made web application backend for the metrics which can be extensible to any other git repository management tool as well.

Jan 2021 – Apr 2021 · 3 mos

• Prioritization of Covid-19 Vaccine Delivery using ML model and a web-enabled user interface to help the government make informed decisions. Developed web based platform as part of the EY Techathon #iSolve4aBillion challenge. Secured 4th position in all India, awarded cash price and Internship offer.

Jun 2020 – Sep 2020 · 3 mos

• 1. Developed an Intelligent Picking Robot for identifying and picking objects using DL and Computer Vision
• 2. Designed arm movement mechanism using the H-bot movement method and OpenCV to detect objects
• 3. Placed in overall top 40 among 1200+ other teams and made it into the semi-finals of Flipkart GRID 2.0