---
title: "Arhya Saha - Software Intern in Bengaluru | Tal"
description: "Meet Arhya Saha, Intern @Robotair | Full Stack Developer | AI-ML Enthusiast based in Bengaluru. AI stack includes claude code, claude, and cursor. Explore public work links including github."
image: "https://tal.club/meet/arhya-pratim-saha/share-image"
---

# Arhya Saha on Tal

## 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 \(AI &amp; ML\), Manipal institute of technology

GD Goenka Dwarka

## Public links

- github: https://github\.com/ArhyaSaha

[View the original profile](https://tal.club/meet/arhya-pratim-saha)

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