My Resume

Who Am I?

As a dynamic Electronics Engineer, I possess a strong foundation in Machine Learning, with expertise in Reinforcement Learning. My proficiency lies in implementing complex ML models and interpretable computational models, primarily focusing on advanced RL systems. My focus extends towards ROS-based robotic systems, 3D NERF Reconstruction, and SLAM stacks. Driven by a vision to create efficient algorithms with minimal computations, I strive to deploy scalable hardware systems to automate processes. My ultimate goal is to pioneer the development of cutting-edge autonomous AI-based robotic systems and Computer Vision solutions for Autonomous Mobility applications.

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My Expertise

Deep Learning, Reinforcement Learning, GAN Data Synthesis, Hydranets & Point Clouds, NERF 3D Estimation, Imitation Learning, Attention & Transformers Unsupervised Learning, Velocity Estimation, SLAM & Sensor Fusion, EEG Interpretation, BCI Communication, Regression Splines, ROS, Gazebo, Mobile App Development, Node.js, Firebase, Azure, GCP Power BI,

ROS, ROS2, MoveIt2, Nav2, SLAM, Sensor Fusion, LIDAR Clustering, Path Planning, PID Control, Docker, Jenkins

Experience

Jul 2022-Sep 2023

Control Engineer, Zeeco Middle East

Designed and implemented various automated flare systems for Saudi Aramco, Hyundai, Japan Gasoline, etc.
Worked with PLC, and SCADA systems with multiple communication protocols.
The proportional-integral-derivative (PID) controller played a major part in controlling the randomness of the process. It is a low-compute model that is defined on an error function and takes in multiple inputs from various instruments to control the process.
Project Samples: Flare Gas Recovery Units, Vapor Recovery Units, Flare Stacks

Jan 2022 - Jul 2022

Data Engineer - Intern, Bajaj Finserv

Worked on designing, deploying, and maintaining scalable data pipelines using SQL DB, Azure, and ETL / ELT tools
Successful data extraction, transformation, and appropriate loading of large datasets were part of my day-to-day activities.
Designed and deployed SSIS and Power BI dashboards on top of mined big data and large customer datasets.
Worked on Azure technologies including Azure SQL DB, Databricks, Data Factory, and Enterprise Data Warehouse.
Developed data migration pipelines to transform data and migrate from Nodes to Clusters - EDW to Cosmos DB. This is an expensive high-compute process.
Deployed a Back-propagation learning model to analyze nodes during busy hours and identify unoptimized queries by evaluating compute resource consumption.

Apr, 2019 - Jun, 2019

Technology Consultant - Intern, Zeeco Middle East

Worked on developing a smart management system for efficient and smooth flow of the company processes.
This smart system runs on minimal instructions with maximum process transparency. This system was integrated into Power BI dashboards.
Worked on developing processes to self-identifying delays/lags in processes and bypass the elements to ease future operations.
Features: Purchase Order, Timesheet, Job Progress Dashboards, Inspections
Technology Stack: Firebase, Android Studio, React JS, Python, GCP

Education

September, 2023 - March, 2024

Robotics Developer Masterclass - The Construct, Spain

Final Score: 9.74/10.0
Coursework majorly includes Autonomous Navigation, Manipulator Planning, PID Algorithms, LIDAR Data Clustering, Environment Mapping, Perception, and Point Clouds.
Final Project: Worked on a Real Cafeteria Robotic Setup to pick a cup of coffee and in a holder of a mobile robot using MoveIt2 and AI-based perception.

2018-2022

Bachelors of Technology - Electronics and Communication, VIT University

Coursework majorly includes Microprocessors, Digital Communication protocols, IOT Frameworks, PCB Design
Worked on Deep Learning models and deployed robust models to custom-designed disease detection electronic systems
CGPA: 8.79/10

Interests

I enjoy reading books on technology and innovation, playing chess, and hiking in the great outdoors. Also, I love to hang out with my friends and go on a trek with them!