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Sesha SaiSrikar Gaddam
Intern Mechanical Engineer specializing in robotics design and CAD
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About
Robotics engineer focused on MATLAB-based simulation and system-level/mechanical aspects of robot safety and coordination. Built an obstacle detection/collision-avoidance approach for a SCARA robot in shared human workspaces and optimized a swarm robotics simulation via priority-based task allocation and congestion-aware routing; currently ramping up on ROS concepts and interested in Gazebo + Docker/CI/CD for end-to-end robotics workflows.
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Key Strengths
- Designed SCARA robot workspace constraints and collision zones using kinematic limits in MATLAB simulation
- Balanced safety vs productivity by tuning collision-avoidance safety buffer distances
- Improved swarm robotics efficiency by identifying routing/task-allocation bottlenecks in simulation
- Implemented priority-based task allocation considering distance and robot availability to reduce idle time
- Reduced multi-robot path conflicts by adjusting routing to avoid shared paths and distribute traffic
- Understands centralized coordination tradeoffs (simplicity vs scalability/single point of failure)
Reference Highlights
- Strong technical proficiency in Python, ROS, and ROS 2
- C++ expertise for performance-critical work
- Central contributor to robotics projects
- Disciplined, systematic debugging approach
- Proactive in optimizing communication to reduce latency
- Ensures system stability during extended testing
- Strong in distributed systems and reliable node communication
- Effective at tuning DDS settings to improve reliability
- Excellent in fast-paced, hands-on environments
- Bridges the gap between software and hardware teams
- Identifies physical root causes behind software errors
- Improved navigation accuracy and reduced development downtime
- Strong hands-on problem-solving mindset
- Collaborates well with other interns/coworkers
- Works effectively within a structured weekly cadence
- Maintains good working relationships
- Positive team contributor (praised teammates during sprint retrospectives)
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