---
title: "Rajesh Kumar Sahoo - SDE 1 in Bengaluru | Tal"
description: "Meet Rajesh Kumar Sahoo, SDE @Amadeus Software Labs || Ex-SDE Intern @Amadeus Software Labs || Gen AI, RAG, LLM, LangChain, LangGraph, Open AI, Vector DB || GOOGLE HASHCODE’22 (AIR-919 & Global Rank-2513) || ITER’24 based in Bengaluru. AI stack includes claude code, cursor, and elevenlabs."
image: "https://tal.club/meet/rajesh-sahoo/share-image"
---

# Rajesh Kumar Sahoo on Tal

## Headline

SDE @Amadeus Software Labs \|\| Ex\-SDE Intern @Amadeus Software Labs \|\| Gen AI, RAG, LLM, LangChain, LangGraph, Open AI, Vector DB \|\| GOOGLE HASHCODE’22 \(AIR\-919 & Global Rank\-2513\) \|\| ITER’24

## About

💻 About Me I’m a Software Development Engineer at Amadeus Software Labs, passionate about building scalable and reliable backend systems\. My expertise spans Java, Python, Generative AI, LLMs, Vector Databases, and system integrations that enhance performance and customer experience\. At Amadeus, I’ve contributed to Air Canada’s replatformization projects, driving initiatives like Continuous Pricing and Companion Pass, which improved dynamic fare computation and customer loyalty\. I also led process optimization efforts, reducing production recurring issues by 30% and improving overall development efficiency\. Additionally, I’ve built AI\-driven platforms, including an LLM\-powered chatbot using LangChain, OpenAI, and Python, achieving a 98% reduction in integration costs, and an AI\-based dynamic page generation system that allows airlines to create websites from simple prompts using LLMs, LangSmith, React, Flask, and JWT\. Beyond work, I’m deeply interested in AI\-driven automation, system design, and backend optimization\. I participated in global coding competitions, earning top ranks in Google HashCode, Google KickStart etc\. These experiences have sharpened my problem\-solving abilities and fueled my passion for innovation, driving me to push the boundaries of what’s possible with AI and software engineering\.

## Location

Bengaluru

## AI stack

claude code

cursor

elevenlabs

github copilot

grok

## Work experience

SDE 1 at Amadeus Labs, Jul 2024 \- Present · 2 yrs 3 mos, Bengaluru, Karnataka, India, • Engineering the Migration of Air Canada’s custom booking engine System Integration layer from Amadeus Erding data center to Microsoft Azure, for enhanced scalability and reliability\. • Developed an AI\-powered responsive webpage generator using Flask, JWT, LangGraph, GPT\-4\.1 model, enabling single\-prompt creation of airline websites with integrated booking and authentication services\. • Collaborated with cross\-functional teams and IBM developers in the Canadian time zone to fix 30\+ critical bugs, boosting system reliability, and cutting recurring issues by 30%\. • Pioneered one of the key Continuous Pricing features in Air Canada’s replatformization backend project, enhancing dynamic fare calculation capabilities\. • Executed the Companion Pass feature in Air Canada’s backend EIP project, enhancing benefits for frequent flyers accounts by improving customer loyalty offerings\. • Managed the Process Optimization Efficiency Team to enhance code quality, RCA optimization, and standardized development processes across the team, contributing to overall productivity\.

SDE Intern at Amadeus Labs, Feb 2024 \- Jul 2024 · 6 mos, Bengaluru, Karnataka, India, • Engineered a Gen\-AI powered chatbot using LLM and OpenAI along with a reusable Angular component for intelligent error handling and interactive support during travel\-related disruptions\. • Leveraged the LangChain framework to integrate custom datasets with the GPT\-3\.5 Turbo and text\-embedding\-ada\-002 model, enabling accurate, context\-aware customer support during unexpected travel disruptions\. • Achieved a 98% cost reduction by implementing the open\-source LangChain framework in place of Azure AI Studio\. • Successfully integrated and deployed the AI\-powered chatbot on Air Canada’s website making the Airline’s website more interactive and user\-friendly\.

ML Internship at PYTHONSOFT\.ORG, Sep 2022 \- Oct 2022 · 2 mos, India, 1\. Implemented and deployed a full\-cycle machine learning solution on Google Cloud as part of a collaborative team project\. 2\. Specialized in machine learning algorithms including Linear Regression, Logistic Regression, and Naive Bayes as part of the project\. 3\.Led dataset collection, data cleaning, and model training using multiple machine learning algorithms for a team project\.

## Education

Bachelor's degree, Computer Science, Siksha O Anusandhan Corporate Relation

12th, D\.A\.V\. Public School, Chandrasekharpur

[View the original profile](https://tal.club/meet/rajesh-sahoo)

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