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Vikas Velagapudi
Mid-level Software Engineer specializing in Machine Learning and LLMs
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About
Software engineer with robotics and ML background (BS Software Engineering w/ Robotics minor; MS CS w/ ML minor) who built autonomy-focused student robotics projects combining RFID + camera sensing, path planning (Dijkstra), and fuzzy logic, and experimented with neural-network approaches. Also brings production-grade software practices from a Dell software analyst role, emphasizing maintainability, documentation, and testing for real-time systems.
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Key Strengths
- Hands-on robotics prototyping (maze-solving, line-following, drone projects)
- Multi-sensor autonomy work (RFID + camera) with sensor-prioritization challenges
- Applied multiple decision/planning approaches (Dijkstra, fuzzy logic, planned neural nets) for autonomy
- Integrated ML models into ROS/embedded real-time pipelines using TensorFlow/PyTorch
- Created custom training datasets to address domain-specific data scarcity and improve classification
- Production-grade engineering mindset from Dell: maintainable code, strong documentation, and testing
- User-centric validation via user stories to simulate real customer experiences
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