I am passionate about advancing robotics and intelligent automation by developing systems that bridge AI, computer vision, and real-world industrial applications. My focus is on building reliable automation and inspection solutions that improve efficiency, quality, and safety in production environments.

My long-term goal is to continue pushing the adoption of intelligent robotic systems that operate robustly in real-world conditions and deliver measurable industrial impact.

Working as part of the automation and engineering team, I support the development and deployment of automated inspection and production systems by programming robots, PLC-controlled equipment, and machine-vision systems used in manufacturing operations. 

• Assist in deploying and refining robotic inspection cells in collaboration with senior engineers, system integrators, and internal teams to improve system stability and inspection reliability.

• Contribute to ongoing efforts to build greater in-house automation capability by supporting development and integration of inspection and production systems within BRPC.

• Supported implementation of automated production data collection through robot and PLC integration, reducing reliance on manual operator reporting and improving data consistency.

• Assisted in improving CNC machine loading operations by updating robot programs and supporting fixture integration, helping reduce misloads and improve cycle efficiency.

In my role as a Teaching Assistant for the MSML605 course, I have:

• Guided Learning: Assisted 60 graduate students in mastering Python fundamentals and machine learning hardware concepts, facilitating a deeper understanding of course material.

• Optimized Computational Resources: Instructed students on effectively utilizing the University's central High-Performance Computing (HPC) cluster for model training, resulting in a 90% reduction in average computational time and enabling more advanced experimental work.

• Enhanced Course Engagement: Collaborated with Dr. Jerry Wu to revamp course content, leading to a 20% increase in class participation and student engagement.

During my tenure at the I3D Lab under the mentorship of Professor Pradipta Biswas, I have:

• Innovated 3D Reconstruction: Developed a novel 3D reconstruction algorithm that integrates LiDAR sensors with Gaussian Splatting SLAM, enhancing localization accuracy by 200%.

• Optimized Performance: Reduced computational overhead by 35% through algorithmic refinements, validating the system both in simulation environments and on physical TurtleBot platforms.

• Contributed to Academia: Co-authored a research paper detailing these findings, which was accepted for presentation at the IEEE International Conference on Robotics and Automation (ICRA) 2025.

In this role, I:

• Designed Automation Solutions: Utilized SolidWorks to design automation components and conducted industrial process simulations using FANUC RoboGuide across five distinct projects, enhancing system efficiency and reliability.

• Programmed Industrial Robots: Developed and implemented programs for ABB (RAPID) and FANUC (KAREL) robots in both offline and online settings, ensuring seamless integration into existing workflows.

• Integrated Control Systems: Acquired proficiency in PLC programming and DeviceNet interfacing, enabling effective control of robotic cells through Mitsubishi PLCs.

As a Technical Consultant, my responsibilities included:

• Client Portfolio Management: Oversaw a portfolio of over 50 client accounts and 10 partner relationships, contributing to a 20% increase in customer retention through personalized service and support.

• Market Expansion Initiatives: Led market and policy research projects, resulting in a 15% growth in market reach and an expanded project pipeline by identifying and capitalizing on emerging opportunities.

• Strategic Development: Collaborated with cross-functional teams to devise technical strategies that drove a 25% increase in lead generation and overall project success, aligning technical solutions with business objectives.

Robotics and Control Systems

• ROS & Robotics Development: Experienced with ROS1 and ROS2 using Python and C++ for robot control, autonomous navigation, and sensor integration in research and real-world robotics systems.

• Path Planning & Navigation: Skilled in implementing DFS, BFS, Dijkstra’s, A*, Bidirectional A*, RRT, RRT*, Real-Time RRT, and Potential Field methods, along with SLAM-based navigation strategies for autonomous robot deployment.

• Industrial Robot Programming: Experience programming ABB, FANUC, and Universal Robots (UR) for industrial automation, including robot handling, machine tending, inspection integration, and production optimization.

• Control Systems: Experience designing and implementing controllers including PID, LQR, LQG, Feedback Linearization, and Adaptive Sliding Mode Control for robotic applications.

Machine Vision and Industrial Automation

• Industrial Vision Systems: Experienced in programming and deploying Keyence vision systems including VS, XG, IV, and LJ-series cameras for automated inspection and measurement applications in production environments.

• PLC Programming & Industrial Control: Experience working with Allen-Bradley PLCs using Studio 5000, Mitsubishi PLC systems, and industrial communication interfaces for automation and inspection integration.

• Robot Simulation & Offline Programming: Experience using FANUC ROBOGUIDE, ABB RobotStudio, and CimStation Robotics for simulation and offline robot programming.

Artificial Intelligence, Deep Learning, and NLP

• AI & Deep Learning: Proficient with PyTorch, TensorFlow, and Keras for robot perception, reinforcement learning, and deep learning applications.

• Computer Vision: Experience with OpenCV, Open3D, and PyTorch-based models for object detection, segmentation, depth estimation, and image processing applications.

• Natural Language Processing: Experience in text preprocessing, tokenization, NER, text generation, and sentiment analysis using NLTK, spaCy, and Hugging Face libraries.

• LLM Fine-Tuning & Prompt Engineering: Experience fine-tuning models such as GPT, T5, and BERT using parameter-efficient methods including LoRA.

SLAM and 3D Reconstruction

• SLAM Systems: Experience with ORB-SLAM, Cartographer, and Gaussian Splatting approaches for mapping and localization.

• 3D Reconstruction & Point Clouds: Skilled in point cloud processing using Open3D and PCL, integrating LiDAR and camera data for spatial reconstruction.

Software Development & Cloud Technologies

• Programming Languages: Python, C++, MATLAB, RAPID (ABB), KAREL (FANUC), URScript.

• Cloud Computing & MLOps: Experience deploying models and applications using AWS (S3, EC2, Lambda, SageMaker) and Azure services, with containerization via Docker and orchestration using Kubernetes.

• Real-Time Communication & Monitoring: Experience building monitoring and automation tools using Python WebSockets for real-time communication between industrial systems and dashboards.

• GUI Development: Experience building user interfaces using Tkinter, PyQt, and Streamlit.

• Data Science & Analytics: Proficient with NumPy, pandas, scikit-learn, and Matplotlib for data analysis and visualization.

Design and Prototyping

• CAD & Mechanical Design: Proficient in SolidWorks, Fusion 360, AutoCAD, and CATIA for mechanical design and system integration.

• Rapid Prototyping: Experience with 3D printing for robotic and automation prototyping.

DevOps and Development Tools

• Containerization & Deployment: Docker-based deployment workflows.

• Version Control: Git (GitHub, GitLab) for collaborative development.

• Operating Systems: Linux (Ubuntu, ROS environments) and Windows for development and deployment.

Graduate Studies (University of Maryland, College Park)

Degree: Master of Engineering in Robotics

Cumulative GPA: 4.0 / 4.0 

• ENPM662: Introduction to Robot Modeling – A+

• ENPM667: Control of Robotic Systems – A+

• ENPM809Y: Introduction to Robot Programming – A

• ENPM661: Planning for Autonomous Robots – A+

• ENPM673: Perception for Autonomous Robots – A

• ENPM690: Robot Learning (Deep Reinforcement Learning) – A+

• CMSC723: Natural Language Processing – A+

• ENPM703: Fundamentals of AI and Deep Learning Frameworks – A+

• ENPM645: Human-Robot Interaction – A+

• ENPM818N: Cloud Computing - A+

Undergraduate Studies (Ramaiah Institute of Technology)

Degree: Bachelor of Engineering in Mechanical Engineering

Cumulative GPA: 9.3/10.0

• Core Mechanical & Robotics

  • Robotics

  • Vibrations

  • Control Systems

  • Dynamics

  • Mechanics

  • Kinematics

• Mathematics & Programming

  • Linear Algebra

  • C Programming

• Design & Manufacturing

  • CAD/CAM

  • Machine Design

  • Manufacturing Process

  • Finite Element Analysis

  • Non-Traditional Machining

• Operations 

  • Operations Research

  • Operations Management

Outside of my professional work, I enjoy gaming and watching football. I’m also a fan of anime, movies, and TV shows, which I find both relaxing and creatively inspiring. Recently, I’ve been working out regularly at the gym as a way to stay active and manage stress.

I have also started getting back into reading and am exploring new hobbies such as archery. In addition, I enjoy volunteering when possible, as it allows me to give back to the community while gaining new perspectives beyond my professional work.