BlueBotics SME
Multi-agent navigation, traffic control, and fleet orchestration
Hello, I'm Jai.
I am a Project Engineer at Oceaneering Mobile Robotics (OMR). I help deploy fleets of counterbalance forklifts, underriders, and fork-over-leg vehicles to meet US customer material handling automation needs.
I collaborate with cross-functional project teams to create and install advanced engineering solutions. I have led the full deployment lifecycle from requirement scoping and simulation feasibility to on-site commissioning and SATs, ensuring 100% compliance with customer success metrics.
My expertise lies in optimizing large autonomous fleet systems through strategic traffic control, mission scheduling, vehicle management, and seamless equipment interfacing. I thrive at the intersection of product development and customer execution, translating field-level feedback into engineering refinements.
Professional Objective:
To bridge the gap between robotics innovation and industrial reality. I specialize in taking mature technologies out of the lab and into the field, architecting scalable deployment strategies that solve real-world operational challenges.
Key Strengths:
Simulation-Driven Engineering
De-risking deployments and maximizing system performance
KPI Data Capture and Analysis
Cycle time, throughput, and fleet utilization optimization
Delivery and Customer Success
Translating engineering constraints into real-world solutions
Work Experience
Key Contributions
- Founded the internal "Automation Engineering Wiki" - a shared knowledge database for the project team to stores best practices, lessons learned and technical standards for common engineering tasks.
- Simulated 101-AFT fleet solution for a tier-1 automotive manufacturing facility to assess project feasibility. Iteratively improved cycle times and throughput by optimizing fleet distribution, traffic routing, mission schedular, and charging strategies.
- Engineered a preemptive staging strategy for part-specific deliveries with strict cycle time KPIs. Validated with simulation to achieve a 44% performance improvement while eliminating the need for additional vehicle capital expenditure.
- Architected a secure remote software deployment protocol via customer VM infrastructure, eliminating the need for on-site technician activity; reduced new SW release rollout costs by $50k–$70k per update while ensuring safety and stakeholder coordination.
- Contributed to a Kaizen event aimed at streamlining deployment workflows; identified process inefficiencies and reduced delivery timelines from 13 to 8 weeks for Standard Projects. Created expedited process maps for RaaS, and POC project models.
Work Media
Robotics at OMR
General Responsibilities
Solution Engineering Feasibility and Sales Support
- Throughput feasability through simulation
- Site surveys: material flow, Wi-Fi, floor conditions
- Concept of Operations (ConOps) and exception handling
- WMS / ERP integration and system architecture planning
- Technical sales: customer demos and trade shows
System Engineering Requirements and Reliability
- Traffic optimization and deadlock mitigation through simulation
- Configure layout for site equipment interface
- Technical documentation - SPF, ICD, FAT, SAT
- Stress-test unique workflows and supervisory integration
- AGV safety verification and industry compliance
Project Engineering Delivery and Customer Success
- Site deployment strategy and scheduling
- Technical lead for all site engineering tasks
- System-level behavior and customer KPI validation, Site Acceptance Testing (SAT)
- System throughput analysis, troubleshooting and optimization
- Customer handover, Service handover
Key Contributions
- Designed and built 3D-printed hardware, electronics, and drive components for autonomous mobile robots.
- Developed indoor/outdoor localization strategies using EKF fusion of wheel odometry, IMU, and GPS streams.
- Built a ROS 2 software-in-the-loop simulation pipeline to validate autonomy-stack behavior before field tests.
- Led client demonstrations to showcase feature improvements and hardware enhancements.
Work Media
Education
University of Maryland
College Park, Maryland
Master of Engineering, Robotics
August 2021 – May 2023
Robot Planning · Perception · Simulation · Machine Learning · AI · Neural Networks
Purdue University
West Lafayette, Indiana
B.S. Mechanical Engineering
Certificate in Entrepreneurship
August 2017 – May 2021
Activities and societies: TEDxPurdueU, High Altitude Balloon Club, Purdue Ski and Snowboard Club
Projects
A selection of robotics and software projects from past coursework and personal exploration.
Autonomous Robot
Built as part of the ENPM809T – Autonomous Robots course at UMD. The robot autonomously completes object detection and retrieval tasks, requiring strong implementation of localization, perception, and vehicle kinematics.
View on GitHub
Mobile Robot Simulation
The ROS 2 simulation ties together three goals in one workflow: fusing IMU, odometry and GPS through an Extended Kalman Filter; running SLAM to build an accurate 2D map of an unexplored environment; and enabling the mobile robot to navigate autonomously through waypoints to goal points on that map.
View on GitHub
Advanced Lane Detection
The goal of the project is to build a lane detection pipeline for a ground vehicle. The perception model detects lanes using image segmentation and tracks the road curvature to predict turns. This project was done as part of an assignment for the following course — ENPM673, Perception for Autonomous Robots.
View on GitHub
ARIAC – Agile Robotics for Industrial Automation
Part of the ENPM663 – Building a Manufacturing Robotics Software System course. Each team develops a simulated warehouse execution system that accepts and executes kitting and assembly tasks using AGVs and UR10 manipulators, leveraging sensors and Agility Challenges inspired by the ARIAC competition.
View on GitHubKR210 KUKA Manipulator
Forward and inverse kinematics for pick-and-place operations using the KR210 6-DOF robotic arm.
RRT Algorithm Variants
Implementation and comparison of RRT, RRT*, and Informed-RRT* motion planning algorithms.
Contact Me
My inbox is always open. Whether you have a question about my work or just want to say hi, feel free to reach out.