Selvan is available for hire

Selvan Rajan

Verified Expert in Engineering

Data Scientist and AI/ML Engineer and Developer

Fremont, CA, United States

Toptal member since May 30, 2025

Expertise

Mathematics Data Analysis Artificial Intelligence Machine Learning Full-stack Web Development Back-end Developers Interim CTOs Computer Vision Chatbot Development RAG LLM OpenAI Linux

Bio

Selvan is a data scientist and AI/ML engineer with 20+ years of experience in enterprise product development. He is well-versed in Java, Python, Android, Swift, and Flutter. He is certified in GCP, AWS, Azure Cloud, AI Solution Architecture, and GenAI. Selvan's focus lies in driving transformative projects with societal and environmental impact at their core.

Portfolio

SRS Consulting

Java, Python, FastAPI, NoSQL, MongoDB, PostgreSQL, MySQL, Oracle, PyTorch...

Microsoft

Agentic AI, AI Architecture, Python, PyTorch, TensorFlow...

Kaiser Permanente

AI Architecture, Machine Learning, Python, PyTorch, TensorFlow...

Experience

Java - 20 years
Data Analysis - 15 years
Data Modeling - 15 years
Python - 15 years
Artificial Intelligence (AI) - 15 years
TensorFlow - 12 years
PyTorch - 10 years
Generative Artificial Intelligence (GenAI) - 3 years

Availability

Part-time

Preferred Environment

Agentic AI, AI Architecture, AI Chatbots, Artificial Intelligence (AI), Data Analysis, Data Modeling, Flutter, Python, FastAPI, Generative Artificial Intelligence (GenAI)

The most amazing...

...thing I've built is an AI-based telehealth product that connects individuals in remote regions with healthcare providers, enabling situational analysis.

Work Experience

Solution Architect

2004 - PRESENT

SRS Consulting

Developed eCommerce, financial, and transportation-specific projects.
Created healthcare-related products for two major clients.
Built both enterprise and AI projects in different industry verticals using Python, PyTorch, Pandas, TensorFlow, GenAI, and Cloud Computing.

Technologies: Java, Python, FastAPI, NoSQL, MongoDB, PostgreSQL, MySQL, Oracle, PyTorch, Pandas, SciPy, R, Android Studio, Xcode, TensorFlow, Generative Artificial Intelligence (GenAI), Vector Data, Google Cloud Platform (GCP), AWS HA, Azure, MacOS, Linux, PyCharm, IntelliJ IDEA, Visual Studio Code (VS Code), Finance, IT Project Management, Negotiation, Data Modeling, Data Analysis, Corporate Legal, Mathematics, Programming, Linear Algebra, Flutter, Computer Vision, Artificial Intelligence (AI), Machine Learning, Retrieval-augmented Generation (RAG), Agentic AI, AI Architecture, Mobile Development, Software Architecture, Full-stack, Amazon Web Services (AWS), CTO, DevOps, Node.js, React, Software Development Lifecycle (SDLC), API Integration, Firebase, FlutterFlow, Mobile, AI Chatbots, CSS, Databases, HTML, JavaScript, Large Language Models (LLMs), Electronic Health Records (EHR), HIPAA Electronic Data Interchange (EDI), Microsoft Excel, Chatbots, ChatGPT, OpenAI, APIs, Scripting, Back-end, Kubernetes, Microservices, Docker, Architecture, Solution Architecture, HL7 FHIR Standard, HIPAA Compliance, HL7, Cursor AI, TypeScript, WebSockets, AI Agents, Event-driven Architecture, Dart, Azure OpenAI Service, Android, iOS, Unit Testing, Abstract Syntax Trees (AST), Pytest, LangGraph, Technical Leadership, CI/CD Pipelines

AI Solution Architect Consultant

2022 - 2025

Microsoft

Designed and developed a prediction assistant and chatbot using Azure AI, CoPilot, and OpenAI ChatGPT 3.5/4.0-based GenAI toolchains.
Designed and implemented an AI-driven chatbot to connect patients with healthcare providers, reducing unnecessary hospital visits and improving accessibility.
Led a team of 30 overall and 4 in AI. Leveraged Copilot Studio, Azure AI, Azure Fabrics, and OpenAI services to develop a secure, scalable, and enterprise-grade conversational assistant. Azure Computer Vision was used for image analysis and OCR.

Technologies: Agentic AI, AI Architecture, Python, PyTorch, TensorFlow, Artificial Intelligence (AI), Machine Learning, Generative Artificial Intelligence (GenAI), Flutter, Cursor AI, WebSockets, AI Agents, Event-driven Architecture, Dart, Microsoft Copilot Studio, Azure OpenAI Service, Unit Testing, LangGraph, Technical Leadership, CI/CD Pipelines

Data Scientist and AI Architect Consultant

2022 - 2022

Kaiser Permanente

Designed and implemented KP’s flagship product so customers and medical professionals could interact, schedule appointments, and access all other healthcare services digitally. Led a team of 15 overall and 2 in AI.
Used GCP AI Studio and Vertex AI to: (1) ingest, analyze, and transform a managed dataset and label and annotate the data, (2) train the model using both AutoML and custom ML using TensorFlow, (3) assess and optimize the model.
Increased the accuracy of patients' self-diagnosis and appointment requests from 70% to 96% by using an AI/ML module that supports predictive analysis. Kubeflow was used for the MLOps workflow.

Technologies: AI Architecture, Machine Learning, Python, PyTorch, TensorFlow, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Chatbots, Flutter, Event-driven Architecture, Dart, Unit Testing, Technical Leadership, CI/CD Pipelines

Data Scientist and Senior AI Architect Consultant

2018 - 2022

SFO International Airport

Developed the SFO Cipher Codes, SFO CoPilot, and SFO TaxiVQ (AI/ML) apps.
Developed SFO Cipher Codes using Flutter/Dart/Native, SFO CoPilot using React Native/Expo frameworks, and SFO TaxiVQ using a native app. Cipher Codes is used by airlines, the police department, and the FBI to access airport points.
Trained the AI/ML module with about 200 million data points and 1,000 parameters. It has improved the system by reducing the waiting time for taxis at the airport. Led a team of 24 overall and 2 in AI.

Technologies: AI Architecture, Machine Learning, Artificial Intelligence (AI), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Computer Vision, Flutter, Event-driven Architecture, Dart, Unit Testing, Technical Leadership, CI/CD Pipelines

Experience

Nalamet

I designed and developed an AI-based telehealth app for developing countries where affordable healthcare is not immediately available. The app helps analyze health issues, predict potential major problems, and suggest the next course of action. It also connects users with a healthcare provider for the last-mile connection.

HealthConnect for Microsoft

I designed and developed a prediction assistant and chatbot using Azure AI, CoPilot, and OpenAI ChatGPT 3.5/4.0-based GenAI toolchains. I led a team of 30 overall and 4 in AI.

I designed and implemented an AI-driven chatbot to connect patients with healthcare providers, reducing unnecessary hospital visits and improving accessibility. I also leveraged Copilot Studio, Azure AI, Azure Fabrics, and OpenAI services to develop a secure, scalable, and enterprise-grade conversational assistant. Azure Computer Vision was used for image analysis and OCR.

Kaiser Permanente

I designed and implemented KP’s flagship product, which allows customers and medical professionals to interact, schedule appointments, and access all other healthcare services digitally. I led a team of 15 overall and 2 in AI.
The front ends were iOS/Android and web. The back end was Java RESTful web services, developed using Spring Boot and running on GCP.

SFO Airport

I developed the SFO Cipher Codes, SFO CoPilot, and SFO TaxiVQ (AI/ML) apps. SFO Cipher Codes was developed using Flutter/Dart/Native, SFO CoPilot was developed in the React Native/Expo frameworks, and SFO TaxiVQ is in the native app. Cipher Codes is used by airlines, the police department, and the FBI to access many parts of the airport. CoPilot is an SFO airport status update app for everything that is happening. TaxiVQ is to schedule and bring only the necessary number of taxis to the airport and size it to meet the demands. All back-end services run on AWS using Kubernetes, Docker containers, Java microservices, Kafka, Postgres, MongoDB, and Cognito for identity management and AI/ML-related projects. TaxiVQ uses an AI/ML module to gauge the flights' arrival, their capacities, and expected taxi requirements, and it places calls to the taxi operators to bring the taxis to the airport. I trained the AI/ML module with about 200 million data points and 1,000 parameters. It has improved the system by reducing the waiting time for the taxis at the airport. I led a team of 24 overall and 2 in AI.

Education

2014 - 2016

Master's Degree in Business Administration (MBA)

New York University - New York, NY, USA

1982 - 1984

Master's Degree in Mathematics and Computer Science

Madras University - Madras, India

1979 - 1982

Bachelor's Degree in Mathematics and Computer Science

Madras University - Madras, India

Certifications

MAY 2025 - PRESENT

AI Solution Architect

Elvtr

JUNE 2018 - PRESENT

Artificial Intelligence and Machine Learning

Erudition

MARCH 2018 - PRESENT

Cloud Platforms

Erudition

Skills

Libraries/APIs

PyTorch, Pandas, SciPy, TensorFlow, React, Node.js

Tools

PyCharm, IntelliJ IDEA, Android Studio, Xcode, Microsoft Excel, ChatGPT, Azure OpenAI Service, Pytest

Languages

Java, Python, R, CSS, HTML, JavaScript, Dart, TypeScript

Frameworks

AWS HA, Flutter, LangGraph, React Native

Paradigms

Mobile Development, DevOps, Microservices, HIPAA Compliance, Event-driven Architecture, Unit Testing, HL7 FHIR Standard

Platforms

MacOS, Linux, Oracle, Google Cloud Platform (GCP), Azure, Amazon Web Services (AWS), Firebase, Mobile, Kubernetes, Docker, Android, iOS, Visual Studio Code (VS Code), FlutterFlow, Microsoft Copilot Studio

Storage

NoSQL, MongoDB, PostgreSQL, MySQL, Databases

Other

IT Project Management, Data Modeling, Statistics, Data Analysis, Mathematics, Programming, Linear Algebra, FastAPI, Generative Artificial Intelligence (GenAI), Vector Data, Computer Vision, Artificial Intelligence (AI), Machine Learning, Retrieval-augmented Generation (RAG), AI Architecture, Software Architecture, Full-stack, CTO, Software Development Lifecycle (SDLC), API Integration, Web Development, AI Chatbots, Large Language Models (LLMs), Electronic Health Records (EHR), HIPAA Electronic Data Interchange (EDI), Chatbots, OpenAI, APIs, Scripting, Back-end, Architecture, Solution Architecture, Cursor AI, WebSockets, AI Agents, Abstract Syntax Trees (AST), Technical Leadership, CI/CD Pipelines, Finance, Negotiation, Corporate Legal, Agentic AI, HL7, Physics, Multimodal GenAI, Convolutional Neural Networks (CNNs), K-nearest Neighbors (KNN), Recurrent Neural Networks (RNNs)

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