Rahul profile

Rahul Selvaraj

AI Engineer specializing in agentic automation, multimodal intelligence, and assistive technology innovation.

Based in New Taipei City, Taiwan.

LinkedIn GitHub

Email: srahul.india1998@gmail.com

About

AI Software Engineer specializing in Agentic AI, Generative AI, and intelligent human-machine systems with 5 years of experience building AI solutions for medical and industrial applications. Experienced in multi-agent frameworks, RAG pipelines, and multimodal AI systems (LLMs, VLMs, VLLMs). Co-inventor of two international patents across the USA, Europe, Taiwan, and India. Skilled at translating AI research into scalable real-world products through cross-functional collaboration.

Skills

Programming

Python, Dart (Flutter), Swift, C++

AI & Libraries

PyTorch, Keras, Tensorflow, Roboflow, OpenCV, HuggingFace Transformers

Frameworks

Fast and Restful API (in progress), Streamlit.

Generative AI & LLM Systems

LLMs, VLMs, Whisper.cpp, RAG pipelines, Agentic AI systems, Multi-Agent Orchestration, Prompt Engineering, Vector Databases

Tools

VScode, Xcode, Vertex AI, Google cloud, ROS, Jupyter, Arduino, Raspberry Pi, Gitlab, BlackHole

Database

Oracle (foundational, fast learner)

Domains

Generative AI, Data integration, NLP, computer vision, sensor integration, embedded systems, CAN protocols

Experience

AI Engineer

Bizlink, Taiwan 2025 – Present
  • Building AI platforms with multimodal models for production use cases.
  • Integrated open-source agent frameworks and cross-platform AI pipelines with enterprise APIs and internal systems for scalable deployment.

Senior Software Engineer

Karma Medical Products Ltd, Taiwan 2021 – 2025
  • Co-invented patents for AI-enabled assistive devices and smart wheelchairs.
  • Developed Flutter and Swift applications for sensor-driven systems.
  • Implemented Sensors, Bluetooth, and CAN protocol integrations.

AI Consultant & Researcher

Freelance / Independent 2023 – Present
  • Designed automation workflows using agentic AI frameworks.
  • Built multi-agent orchestration pipelines for complex operations.
  • Researched real-time AI-driven automation patterns and reliability.

Projects

Multi-Agent System

Automation platform built using n8n, GPT, LLaMA2 and RAG for orchestrated workflows.

iSeat Posture App

Real-time posture and pressure analytics for assistive seating using mobile and embedded sensors.

Depth Completion

LiDAR–RGB fusion for dense 3D scene understanding and obstacle detection.

Education

M.Sc. Electrical Engineering

Machine Learning — National Chung Cheng University (CCU), Taiwan

B.Tech Electronics

SRM Institute of Science and Technology, India

Certifications

Digital Workforce Services Plc

  • Understanding Agentic AI

Databricks

  • Academy Accreditation – Generative AI Fundamentals

Microsoft

  • Develop a RAG-based Solution
  • Develop an AI App with Azure AI Foundry SDK
  • Evaluate Generative AI Performance
  • Fine-Tune a Language Model
  • Plan and Prepare to Develop AI Solutions
  • Choose and Deploy Models from the Model Catalog

Udemy

  • Master AI, Large Language Models & Agents

NVIDIA

  • AI for All: From Basics to GenAI Practice

DeepLearning.AI

  • LangChain for LLM Application Development

Google Cloud

  • Prompt Design in Vertex AI

UMD Smith

  • AI and Career Empowerment certification

Achievements

Co-inventor of two international patents in assistive technologies.

Taiwan Excellence Award

Recipient of the Taiwan Excellence Award 2025.

Improved customization efficiency by 65% through automation and tooling.