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Arhya Saha

Intern @Robotair | Full Stack Developer | AI-ML Enthusiast

Bengaluru

1+ year of work experience

Siemens Healthineers
May 20263 moPresent

Bengaluru

Owning end-to-end development of a scalable internal technology academy platform at SIEMENS, enabling learning operations across global teams worldwide.
Overhyped.ai
Jan 20264 moMay 2026

Remote

Developed backend services for AI voice agents handling 5K+ requests/day, cutting API latency from ∼200ms to ∼100ms (50% drop). ◦ Built cloud-native microservices on Azure using Docker and Kubernetes (AKS) for fault-tolerant, horizontally scalable deployments. ◦ Owned end-to-end system design (HLD, LLD, schema, API) for an Event Planner app with clear contracts across 3+ microservices. ◦ Designed scalable data models and RESTful workflows for performance and maintainability, supporting multi-tenant concurrent usage.
Aug 20254 moDec 2025

Bangalore

Built a real-time RTSP pipeline supporting 50+ concurrent camera feeds with multi-model YOLO-based object detection, enablingwide label coverage across feeds. ◦ Iteratively improved inference pipeline through failure analysis, achieving ∼40% faster inference speed across detection modules. ◦ Integrated LLM-based NL querying over visual context from surveillance feeds, enabling operator-friendly camera data interaction. ◦ Built modular components for preprocessing, inference, and logging, reducing debug time and enabling faster iteration cycles.
Robotair
Jan 20253 moApr 2025

Porto, Portugal

Optimized the Live Log Viewer’s websocket communication, reducing latency to under 50ms and ensuring real-time updates for over 100 concurrent test robots, enhancing system responsiveness by 30%. ◦ Automated build creation processes, decreasing manual intervention time by 40% and accelerating deployment for 200+ robot configurations. ◦ Enhanced Deployment Wizard functionality to support seamless multi-ROS version deployments across diverse environments, including air- gapped and cloud setups, resulting in a 25% reduction in deployment errors during testing phases. ◦ Followed CI/CD practices using Git and Github for version control, code reviews, and issue tracking in an Agile workflow.
GitHub
@ArhyaSaha

Arhya’s AI Stack

claude code
claude code
claude
claude
cursor
cursor
github copilot
github copilot
langgraph
langgraph
lovable
lovable

Education

Manipal institute of technology

Bachelor of Technology - BTech, Computer Software Engineering (AI & ML)

Manipal institute of technology

20224 yrs2026

GD Goenka Dwarka

20222022

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Headline

Intern @Robotair | Full Stack Developer | AI-ML Enthusiast

About

A Computer Science student driven by a passion for technology and problem-solving. With a commitment to growth, I seek opportunities to learn and apply new skills. My projects focus on practical applications, developing innovative tools, and exploring emerging technologies.

Location

Bengaluru

AI stack

claude code

claude

cursor

github copilot

langgraph

lovable

Work experience

Software Intern at Siemens Healthineers, May 2026 - Present · 3 mo, Bengaluru, Owning end-to-end development of a scalable internal technology academy platform at SIEMENS, enabling learning operations across global teams worldwide.

Software Developer Intern at Overhyped.ai, Jan 2026 - May 2026 · 4 mo, Remote, Developed backend services for AI voice agents handling 5K+ requests/day, cutting API latency from ∼200ms to ∼100ms (50% drop). ◦ Built cloud-native microservices on Azure using Docker and Kubernetes (AKS) for fault-tolerant, horizontally scalable deployments. ◦ Owned end-to-end system design (HLD, LLD, schema, API) for an Event Planner app with clear contracts across 3+ microservices. ◦ Designed scalable data models and RESTful workflows for performance and maintainability, supporting multi-tenant concurrent usage.

Full Stack Developer Intern at Electronix.ai, Aug 2025 - Dec 2025 · 4 mo, Bangalore, Built a real-time RTSP pipeline supporting 50+ concurrent camera feeds with multi-model YOLO-based object detection, enablingwide label coverage across feeds. ◦ Iteratively improved inference pipeline through failure analysis, achieving ∼40% faster inference speed across detection modules. ◦ Integrated LLM-based NL querying over visual context from surveillance feeds, enabling operator-friendly camera data interaction. ◦ Built modular components for preprocessing, inference, and logging, reducing debug time and enabling faster iteration cycles.

Full Stack Developer at Robotair, Jan 2025 - Apr 2025 · 3 mo, Porto, Portugal, Optimized the Live Log Viewer’s websocket communication, reducing latency to under 50ms and ensuring real-time updates for over 100 concurrent test robots, enhancing system responsiveness by 30%. ◦ Automated build creation processes, decreasing manual intervention time by 40% and accelerating deployment for 200+ robot configurations. ◦ Enhanced Deployment Wizard functionality to support seamless multi-ROS version deployments across diverse environments, including air- gapped and cloud setups, resulting in a 25% reduction in deployment errors during testing phases. ◦ Followed CI/CD practices using Git and Github for version control, code reviews, and issue tracking in an Agile workflow.

Education

Bachelor of Technology - BTech, Computer Software Engineering (AI & ML), Manipal institute of technology

GD Goenka Dwarka

Public links

github: https://github.com/ArhyaSaha