Rahul Jangir

I'm

About Me

I am an AI Engineer with over four years of backend, cloud, and infrastructure experience. Since August 2025 I have worked as a sub-leader on a generative AI / LLM application team, building LangChain-based applications on Amazon Bedrock and Hugging Face, designing RAG (Retrieval-Augmented Generation) pipelines, and fine-tuning large language models with LoRA/QLoRA. Prior to that I spent two years building backend systems and AWS cloud infrastructure. Certified with JLPT N1, I operate effectively in fast-paced professional Japanese business environments, coordinate multinational engineering teams, and bridge AI development with production-grade cloud architecture.

Rahul Jangir

AI Engineer & DevOps/SRE Specialist

Expertise in LLM Application Development, RAG Pipelines, Model Fine-Tuning & AWS Cloud Infrastructure.

  • Certifications: JLPT N1 / ITIL 4 / AWS SAA
  • Phone: 080-7005-5953
  • City: Osaka, Japan

I am highly dedicated to building reliable, production-ready AI systems and cloud infrastructure. From designing RAG pipelines and fine-tuning LLMs with LoRA/QLoRA to provisioning AWS resources with Terraform and CI/CD pipelines via GitHub Actions, I help teams ship generative AI features and high-availability services while maintaining strong engineering discipline as a sub-leader guiding multinational teams.

Technical Skills

My core technical expertise spans generative AI / LLM application development, cloud infrastructure design, backend engineering, and automation pipelines.

LLM App Development (LangChain / Bedrock / Hugging Face) 90%
RAG Pipelines & Fine-Tuning (LoRA / QLoRA) 85%
Python & FastAPI Backend Development 90%
AWS Cloud Services (Bedrock / Lambda / ECS / S3 / DynamoDB) 85%
TypeScript & Node.js 80%
CI/CD & Containerization (GitHub Actions / Docker) 85%
Database Administration (PostgreSQL / DynamoDB / MySQL) 80%
Japanese Professional Communication (JLPT N1) 95%

Resume

Professional milestones, education history, and industry-standard AI, cloud & SRE certifications.

Professional Certifications

Japanese Language Proficiency Test (JLPT) N1

JEES / The Japan Foundation · 2022

Highest level of Japanese language proficiency, proving fluent professional communication capability in technical business settings.

ITIL 4 Foundation Certification

AXELOS · 2025

Validates core concepts of IT Service Management (ITSM), incident resolution pipelines, SRE operational workflows, and continuous system enhancement lifecycle.

AWS Certified Solutions Architect – Associate (SAA)

Amazon Web Services · 2026

Validates expertise in designing and deploying secure, robust, and cost-efficient cloud architectures on AWS.

Education

Bachelor of Computer Applications (BCA)

Jan 2024 - Mar 2027

Mangalayatan University, UP, India (Online)

Focusing on system design patterns, object-oriented concepts, structural databases, and networking protocols.

IT Technical Department Diploma

2020 - 2022

Osaka Information and Computer Science College, Osaka, Japan

Studies in systems programming, data structures, network security, database administration, and algorithms. Awarded a medal for academic excellence and received the JASSO Scholarship for outstanding performance.

Japanese Language Course

2018 - 2020

First Study Japanese Language School, Osaka, Japan

Moved to Japan in October 2018; completed bilingual training in advanced Japanese grammar, business communications, and social etiquette.

Professional Experience

AI Engineer (Sub-Leader)

Aug 2025 – Present

TDI System Service Co., Ltd.

  • Designed and developed LLM applications in Python using LangChain, Amazon Bedrock, and Hugging Face.
  • Designed and implemented RAG (Retrieval-Augmented Generation) pipelines for production use cases.
  • Fine-tuned large language models using LoRA/QLoRA techniques.
  • Built backend services with FastAPI and cloud resources on AWS (Bedrock, Lambda, S3, DynamoDB, CloudWatch).
  • Served as sub-leader on a 15-member agile team: distributed tasks, led code reviews, and coordinated a multinational group of engineers.
  • Contributed to the successful rollout of a RAG system, working in a Japanese-language documentation and communication environment.

Backend & Cloud Infrastructure Engineer

Oct 2023 - Jul 2025

PayStorage Co., Ltd. (Center Mobile Co., Ltd.), Osaka, Japan

  • Added new features and refactored a SIM card sales management system to improve scalability, reliability, and security across user registration, inventory, orders, payments, shipment tracking, and invoicing.
  • Adopted Hexagonal Architecture using **TypeScript** and **Node.js** to cleanly separate domain logic from infrastructure adapters, improving extensibility, testability, and maintainability.
  • Built and operated AWS cloud infrastructure (Lambda, API Gateway, ECS, S3, DynamoDB, Cognito, CloudWatch, SNS) for the platform.
  • Worked with PostgreSQL, MySQL, and DynamoDB across the application's data layer.
  • Used Git, GitHub Actions, and Docker for version control, CI/CD, and containerized deployments.
  • Participated across programming, operations, and maintenance phases within a 15-member agile team, in a Japanese-language work environment.

Programmer (Backend & Infrastructure)

Apr 2022 - Oct 2023

AppTime Inc., Osaka, Japan

  • **Caregiving Product Recommendation App**: Built a product recommendation app for elderly users, families, and caregivers, including a recommendation engine driven by user input and health data, PDF report generation, and QR code generation/scanning, with a Laravel 8 REST API.
  • **Push Notification Platform**: Developed a new push notification delivery platform for multiple internal applications using **Firebase Cloud Messaging (FCM)** with Laravel.
  • Worked across requirements definition, design, implementation, testing, and operations/ maintenance, in a Japanese-language work environment.
  • Tech stack: JavaScript / PHP, Laravel, MySQL, AWS EC2, Firebase, Git / BitBucket.

AI & DevOps Case Studies

Practical demonstrations of generative AI application development, infrastructure as code, and cloud observability solutions.

Generative AI RAG Application

Generative AI RAG Application

LangChain & Amazon Bedrock

Designed and built a RAG pipeline and LLM application with LangChain, Amazon Bedrock, and Hugging Face, including LoRA/QLoRA fine-tuning, as sub-leader of a multinational agile team.

IaC with Terraform

Enterprise IaC Provisioning

Terraform & AWS

Automated multi-environment AWS deployment (CloudFront, Route53, S3, IAM) utilizing modularized, dry configurations and locked state files.

Observability Pipeline

Real-time Observability Pipeline

New Relic & CloudWatch

Configured comprehensive APM metrics, dashboard analytics, and custom alerting tunnels routed to MS Teams via CloudWatch logs and AWS SQS.

Automated GitOps CI/CD

Automated GitOps CI/CD

ECS Fargate & GitHub Actions

Engineered automated workflows for Docker build, static code scans (Super-Linter), and secure zero-downtime rolling updates to ECS.