About Me

I'm Junior Software Engineer @ Aegeus Technologies building autonomous robots for robotic dry cleaning at the Solar Parks so as to minimize the soiling losses . Before joining Aegeus Technologies , I worked as Project Intern @ Robotics Lab ,Department of Electrical Engineering , IIT Roorkee , where I worked on the reinforcement learning based control of the UR5 Robotic Arm .

I hold an Integrated B.Tech - M.Tech degree in Power & Energy Engineering from the Central University of Karnataka , where I secured an "O" grade ( Outstanding ) and received a free-ship award for my academic performance . I also have multiple certifications and internships in the field of Robotics and Machine Learning .I am passionate and ethusiastic about Robotics and Machine Learning . I am always open to new opportunities and challenges that can help me grow and make a positive impact .

Contact Details

Baleshwar Mahto
+91 7760816342
baleshwar.cuk@gmail.com

Education

Central University of Karnataka

Integrated B.Tech - M.Tech in Power & Energy Engineering July 2017 - June 2022

1.Secured "O" grade ( Outstanding ) in M.Tech @ Department of Electrical Engineering.
2.Courses : Python , C , Data Structures & Algorithms , Machine Learning , Electrical Machines , Power Electronics , Digital Electronics , Analog Electronics.
3.Technical member of Enigma AI Club & IEEE volunteer and Student member.
3.Free-ship awardee ( Tuition Fee refund ) for academic excellence.
4.Nominated (Our team) for the Smart India Hackathon 2020 after competing at the University level .
5.Led the team "3Coders" in 24 hour long IEEEXtreme 13.0 Programming competition.
6.Led the team "8Spiders" in 24 hour long IEEEXtreme 12.0 Programming Competition.

Work

Aegeus Technologies Pvt Ltd

Junior Software Engineer Feb 2023 - Present

1.Shreem Autonomous Robot :
- Co-implemented Epsilon Star algorithm in Python for online coverage path planning of unknown environment to navigate autonomously in an inclined rectangular island of solar panels .
- Derived mathematically the angle of inclined solar panels with ground in terms of roll and pitch angles provided by IMU ( Inertial Measurement Unit ) sensor to compute the required traction for auto-hold functionality on inclined solar panels.
- Done research work and read research papers in related domains and suggested optimal method for development .

2.Unicorn Fully-automatic Robot :
- Assisted Lead Engineer in troubleshooting 42 control panels ( Control Unit ) of the Unicorn fully-automatic robot .
- Created root cause analysis ( RCA ) report on the failures of the control panels at that specific site and suggested optimal methods to further stablize it .
- Contributed code to multiple Unicorn robot related projects for new features enhancement and enabling wireless communication between the robot and remote monitoring station . (Modbus RTU & LoRaWAN )

Central University of Karnataka

Researcher ( Deep Learning ) Aug 2021 - July 2022

1.Solar Energy Generation Forecasting : Enhanced the accuracy of the solar energy generation forecasting on the Greek dataset using NeuralProphet by 0.017 and 0.034 in terms of Mean Absolute Error ( MAE ) and Root Mean Square Error ( RMSE ) respectively.
2.Web App for User Interaction : Developed a web app for interacting with the solar energy generation forecasting model using Flask web framework and deployed the forecasting model on Heroku cloud.
3.Research Work : Done research work and read research papers published between 2016 to 2021 to find various machine learning algorithms to forecast solar energy generation .

IIT Rookee

Project Intern @ Robotics Lab ( Reinforcement Learning ) Dec 2020 - June 2021

UR5 Robotic Arm Trajectory Planning : Applied Q-learning algorithm to make the end effector of UR5 to move in a circular trajectory using openai_ros package in Robotic Operating System ( ROS) Kinetic version .Trained the reinforcement learning agent for 6-7 hours in the online Contruct platform and found the agent to learn

NIT Andhra Pradesh

Summer Research Intern ( Computer Vision ) Feb 2021 - April 2021

1.Automatic License Plate detection and Recognition System ( ALPR ) :
Labelled ~ 250 images of License Plate to train a custom object detection model . Applied Tesseract OCR for License plate recognition and was able to improve its performance by using image processing techniques.
2.Deployment of detection model :Deployed YOLO v4 model having weight size of 244 MB in Raspberry PI 3B of 1GB RAM using Darknet framework .

IIT Roorkee

Design Innovation Center ( DIC ) Winter Intern Dec 2019

Discrete-time Sliding Mode Controller Design : Researched about the latest papers on sliding mode control . Designed a discrete-time sliding mode controller for a two-wheeled mobile robot , which is a kind of autonomous guided vehicle , for path tracking of basic paths , namely circular path and straight line path .

Skills

Recommendations


I have known Baleshwar since 2017. He is a really fast learner, posses great programming skills and has strong command over Linux (Bash). He started programming and using Linux around his second semester . His enthusiasm for programming and technology is quite apparent from his participations and leading the teams twice in IEEEXtreme 12.0 and 13.0 and in the Smart India Hackathon 2019 and 2020 .

- Sudhanshu Kumar , SDE @ Amazon Web Services , Dublin , Ireland

Baleshwar has aptitude for research as well as to learn and endeavour in a new research and emerging areas.He is quick to grasp new concepts and implement them in practice.

- Dr Sohom Chakrabarty , Assistant Professor , IIT Roorkee , India.(Ex. Engineer , General Electric )

I highly recommend his expertise to any person looking for expertise in Deep Learning and Raspberry Pi. He is the most profound person I haver ever met , and his ability to tackle any problem is remarkable with a warm smile..

- Ritish Kumar Tiwari , Decision Analytics Associate @ ZS

You have done a great job as an intern . All the best for your future endeavours .

- Dr Sri Phani Krishna Karri , Assistant Professor , NIT Andhra Pradesh , India.

Projects