INITIALIZING_SYSTEM...
> Loading hardware drivers... > Connecting to neural mesh... > Calibrating vision sensors... > SYSTEM_READY
3+
Years Experience
15+
Projects
3+
Research Papers
20+
Technical Skills

About Me

I'm a robotics engineer passionate about designing intelligent systems that solve real world problems. With a Master's in Robotics from the University at Buffalo, I've built a strong foundation in autonomous systems, computer vision, and artificial intelligence, grounded in hands-on experimentation and real-world deployment.

My work in computer vision has involved developing algorithms that enable machines to perceive and interpret their surroundings, from object detection and tracking to semantic understanding of dynamic scenes. I believe vision is at the heart of intelligent behavior in robots.

I thrive at the intersection of software and hardware where code becomes motion and algorithms must adapt to dynamic, uncertain environments. My experience has shaped my ability to think both analytically and creatively, translating complex concepts into robust, reliable systems.

I'm driven by the opportunity to learn, to collaborate with purpose-driven teams, and to build technologies that make a tangible impact. To me, great engineering is about more than just precision. It is also about curiosity, persistence, and a deep understanding of how systems behave beyond the lab.

At my core, I enjoy solving hard problems, building systems that move and see, and continuously growing through each project, conversation, and challenge I take on.

My Skills

Specializing in robotics, artificial intelligence, computer vision, SLAM, and autonomous systems development

PROGRAMMING LANGUAGES

  • Python
  • C++
  • MATLAB
  • CUDA

COMPUTER VISION

  • Object Detection & Tracking
  • Semantic Segmentation
  • Optical Flow
  • Stereo Visual Odometry
  • Structure from Motion
  • 3D Reconstruction
  • Camera Calibration
  • Sensor Fusion
  • Visual SLAM
  • Vision Transformers
  • Vision Language Models

ROBOTICS AND AUTONOMY

  • SLAM
  • Kalman Filter
  • Model Predictive Control
  • PID Control
  • Path Planning Algorithms
  • Multi Robot Coordination
  • Coverage Path Planning
  • PX4
  • ArduPilot
  • MAVROS
  • Sim to Real Transfer

AI

  • Deep Learning
  • Reinforcement Learning
  • Transfer Learning
  • Behavioral Cloning

SIMULATION TOOLS

  • Gazebo
  • Isaac Sim
  • AirSim
  • PyBullet

HARDWARE PLATFORMS

  • NVIDIA Jetson
  • Intel RealSense
  • LiDAR
  • Raspberry Pi

Professional Certifications

Continuous learning and professional development in robotics, AI, and autonomous systems

NLP Certification

Natural Language Processing with Sequence Models

Coursera

Deep Learning Certification

Neural Networks and Deep Learning

Coursera

CNN Certification

Convolutional Neural Networks

Coursera