I am particularly interested in the intersection of Robotics and Artificial Intelligence, focusing on developing intelligent systems capable of autonomous navigation and seamless human-robot interaction. My goal is to advance the field by creating autonomous systems that enhance efficiency and safety across various applications.

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 Expertise: Expert in ROS1 and ROS2, leveraging Python (and intermediate C++) to develop a range of robotics applications—including robot control, autonomous navigation, and sensor integration.

• Path Planning & Navigation: Skilled in implementing DFS, BFS, Dijkstra’s, A*, Bidirectional A*, RRT, RRT*, and Real-Time RRT** and Potential Field algorithms. Proficient in SLAM-based autonomous navigation strategies for real-world robot deployments.

• Industrial Robot Programming: Experienced in programming ABB and FANUC robots using RAPID and KAREL languages for industrial automation.

• Control Systems: Adept at designing and implementing a variety of controllers, including PID, LQR, LQG, Feedback linearization and Adaptive Sliding Mode Control for robust robotic systems.

Artificial Intelligence, Deep Learning, and NLP

• AI & Deep Learning: Proficient with PyTorch, TensorFlow, and Keras, focusing on robot perception, reinforcement learning, and generative AI.

• Natural Language Processing (NLP): Skilled in text preprocessing, tokenization, named entity recognition, text generation, and sentiment analysis using NLTK, spaCy, and Hugging Face Transformers.

• LLM Fine-Tuning & Prompt Engineering: Experienced in fine-tuning GPT, T5, and BERT models using techniques like LoRA for task-specific performance gains.

• Computer Vision: Extensive experience with OpenCV, Open3D, and PyTorch-based vision models for object detection, semantic & instance segmentation, depth estimation and image stitching.

SLAM and 3D Reconstruction

• Simultaneous Localization and Mapping (SLAM): Practiced with ORB-SLAM, Cartographer, and Gaussian Splatting for real-time environment mapping.

• 3D Reconstruction: Proficient in point cloud processing using Open3D and PCL, integrating LiDAR and camera-based SLAM for enhanced spatial understanding.

Software Development & Cloud Technologies

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

• Cloud Computing & MLOps: Experienced in deploying AI models on AWS (S3, Lambda, EC2, SageMaker) and Azure (VMs, Cognitive Services). Skilled in containerization with Docker and orchestration using Kubernetes.

• GUI Development: Built interactive graphical interfaces with Tkinter, PyQt, and Streamlit for both AI and robotics applications.

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

Industrial Robotics and Automation

• Robot Simulation Tools: Experienced with FANUC ROBOGUIDE, ABB RobotStudio, and CimStation Robotics for offline programming and simulation.

• PLC Programming: Skilled in Mitsubishi PLC programming and DeviceNet interfacing for industrial automation solutions.

Design and Prototyping

• CAD & Mechanical Design: Proficient in SolidWorks, AutoCAD, Fusion 360, and CATIA for designing mechanical components and conducting system simulations.

• Rapid Prototyping: Hands-on experience with 3D printing to prototype and develop custom robotic parts.

Other Technical Skills

• Containerization & Deployment: Skilled in Docker for application packaging and deployment.

• Version Control & Collaboration: Proficient in Git (GitHub, GitLab) for version control and collaborative development.

• Operating Systems: Strong expertise in Linux (Ubuntu, ROS-based) and familiarity with Windows for software development.

Graduate Studies (University of Maryland, College Park)

Degree: Master of Engineering in Robotics ( Artificial Intelligence)

Cumulative GPA: 4.0 / 4.0 

• ENPM662: Introduction to Robot Modeling – A+

• ENPM667: Control of Robotic Systems – A+

• ENPM809Y: Intoduction 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+

Current Spring 2025 Course (Ongoing):

• ENPM818N: Cloud Computing

Through these advanced courses, I’ve developed in-depth knowledge of modeling, control, perception, and planning algorithms for robotic applications. My studies also cover cutting-edge topics in AI and machine learning—particularly reinforcement learning and natural language processing.

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

These courses laid the foundation of my engineering expertise, covering both the theoretical and practical aspects of mechanical systems design. The analytical tools, problem-solving skills, and broad exposure to engineering principles I gained here have proven vital in my transition into robotics, AI, and automation.

Outside of my professional work, I’m an avid gamer and enjoy watching football. I also have a passion for anime, movies, and TV shows, which I find both relaxing and inspiring. Recently, I’ve started working out at the gym, discovering it to be a great way to de-stress and stay active. In addition, I’ve taken an interest in volunteering, which allows me to give back to the community and gain new perspectives.