01About

About

Suryaansh Rathinam

I completed my Masters of Computing (AI Specialisation) at the National University of Singapore in December 2025.

Before that I did a CS undergrad at Manipal, built production AI at startups in parallel, credit risk platforms, NL2SQL engines, fine-tuned speech models, and agentic systems.

Now I’m at ST Engineering’s R&D division as a Senior AI Engineer. The work I’m drawn to lives at the intersection of AI research, real-time systems, and product engineering — which is where I’ve been heading the whole time.

0+
Years Experience
0
Publications
NUS
Masters in AI
02Experience

Experience

ST Engineering logo

ST Engineering

Senior AI Engineer

May 2026 – Present

Senior AI Engineer in the Research & Development division.

AI/MLPythonR&D
ThoutAI logo

ThoutAI

Founding Engineer (Backend & AI Lead)

Aug 2025 – Apr 2026

Led the backend and AI team at ThoutAI, architecting the infrastructure behind a Meeting Intelligence Platform that turns conversations into action — at the intersection of AI agents, real-time systems, and product engineering.

  • Led the backend and AI team building a Meeting Intelligence Platform.
  • Architected backend services for real-time meeting capture, transcription, and intelligence.
  • Built AI Agents for action extraction, summarization, and downstream workflow automation.
  • Developed the frontend interface that surfaced agent outputs to users.
AI AgentsPythonFastAPINode.jsTypeScriptPostgreSQLRedisLangChainOpenAIWebSocketsAWSDocker
Datalens AI logo

Datalens AI

AI Developer

May 2025 – Jul 2025

Built intelligent speech and query interfaces for enterprise data systems. Developed a diarization and transcription pipeline for customer service call recordings using Whisper, and implemented a natural language to SQL translator for database querying.

  • Engineered a diarization and transcription pipeline to process large volumes of customer service calls.
  • Improved Whisper model accuracy through fine-tuning on a labeled dataset of call audio and transcripts.
  • Created a natural language to SQL query interface that enabled users to interact with databases via plain English.
  • Built end-to-end pipeline to parse schema, generate SQL queries from prompts, execute queries, and return formatted results.
  • Deployed tools with containerized microservices and interactive front-ends for internal teams.
WhisperPythonPyTorchHuggingFace TransformersStreamlitFastAPIPostgreSQLSQLAlchemyOpenAI API
AIDF (Asian Institute of Digital Finance) logo

AIDF (Asian Institute of Digital Finance)

Full Stack Developer

Oct 2024 – Jun 2025

Led the end-to-end development of 'Caesers', a credit risk assessment report platform, and engineered a 'Credit Research Tool' powered by OpenAI's LLM. Built robust Django-based RESTful APIs, a dynamic Next.js front-end, and integrated secure authentication, real-time data visualisations, and automated report generation pipelines.

  • Architected and launched 'Caesers', automating credit risk report generation and cutting manual processing time.
  • Developed a 'Credit Research Tool' leveraging GPT-4 for on-demand financial insights, reducing analyst workload.
  • Designed and implemented secure, scalable REST APIs with Django.
  • Built interactive dashboards in Next.js with Recharts & AntD, enabling stakeholders to visualise key risk metrics in real time.
  • Integrated CI/CD pipelines using GitLab, Docker, and AWS Lambda for zero-downtime deployments.
  • Collaborated with data scientists to embed ML risk models, boosting prediction accuracy.
Next.jsDjangoOpenAI GPT-4GraphQLPostgreSQLRechartsAnt DesignDockerAWS (Lambda, S3, RDS)GitLab CI/CD
Moneyflo logo

Moneyflo

Full Stack Developer

Mar 2023 – Jul 2024

Built financial intelligence platform for e-commerce profitability. Developed UI/UX enhancements, REST API endpoints, and AI Assistant using OpenAI API.

  • Enhanced platform UI/UX across multiple iterations.
  • Built REST API endpoints and backend functionalities.
  • Developed AI Assistant with OpenAI integration.
  • Provided data insights for client decision-making.
Next.jsSassAntDFastAPINestJSTypeORMPostgresAWSOpenAI
Ridecell logo

Ridecell

QA Automation Engineer

May 2022 – Aug 2022

Worked on Quality Assurance, Automation and Testing. Automated test cases using Selenium and Appium, integrated with CI/CD pipeline.

  • Automated test cases on Testrail platform.
  • Built mobile app testing automation.
  • Integrated automated tests into CI/CD pipeline.
  • Improved testing efficiency and coverage.
PythonPytestREST APIsSeleniumAppiumTestrail
KaizIQ logo

KaizIQ

Full Stack Software Engineering Intern

Apr 2022 – Jul 2022

Worked on building an end-to-end SDLC tool. Developed both frontend and backend components, wrote unit tests for microservices.

  • Developed full-stack features for SDLC tool.
  • Worked closely with founders on product vision.
  • Built frontend and server-side components.
  • Wrote comprehensive unit tests.
ReactJavaScriptCSSJavaSpring Boot
03Projects

Projects

Selected work — production systems and side experiments.

April 2025

Gmail RAG System

A full-stack AI application that enables users to query their Gmail content using natural language. Implements secure Gmail OAuth login, fetches emails and attachments, converts them into embeddings using sentence transformers, and stores them in Pinecone. Users can ask questions and receive contextually relevant answers powered by Ollama LLM. The system is architected with a FastAPI backend, Next.js frontend, and supports attachment processing (PDF, CSV, text).

RAGNext.jsFastAPIPythonPineconeOllamaOAuthVector DB
February 2025

Document and Video Q&A System

A web app for uploading PDFs and YouTube videos, processing them into chunks, and interacting via chat. Uses MongoDB for document storage, Pinecone for vector retrieval, and OpenAI for responses. Features include document/video processing, vector storage, and a chat interface for querying.

RAGReactMongoDBPineconeOpenAIVector DB
November 2024

Real Time Meeting Summarizer

Developed a Chrome extension with FastAPI backend that captures and processes real-time audio from browser tabs. Implemented an ML pipeline using OpenAI Whisper for transcription and Mistral-7B model for intelligent summarization, featuring speaker diarization and knowledge graph generation for contextual understanding.

ML PipelineChrome ExtensionFastAPIWhisperMistral-7B
04Skills

Skills

What I’ve actually shipped with.

Artificial Intelligence & Machine Learning

15
Large Language ModelsOpenAI APIMistralVector DatabasesRAGKnowledge GraphsSpeaker DiarizationComputer VisionCNNRNNMedical Image AnalysisNLPAI Model IntegrationPrompt EngineeringTransformers

Backend Development

07
Node.jsExpress.jsDjangoFastAPINestJSRESTful APIsGraphQL

Programming Languages

08
PythonJavaScriptTypeScriptC++CJavaSwiftPHP

Databases & Cloud

08
MongoDBPostgreSQLMySQLTypeORMAWSFirebaseDockerGit

Frontend Development

11
ReactNext.jsVue.jsHTML5CSS3SassBootstrapTailwind CSSReduxReact NativeFlutter

Testing & Automation

06
SeleniumAppiumPytestJestCypressTest Automation
6+
Projects
3
Research Papers
5+
Work Experiences
05Research

Research

Peer-reviewed publications and research projects.

IEEE Access·2023

Exploring IoT-Blockchain Integration in Agriculture: An Experimental Study

Namrata Mariam Chacko, Dr. V. G Narendra, Dr. Mamatha Balachandra, Suryaansh Rathinam

An experimental study on combining IoT sensors and blockchain ledgers to improve traceability, trust, and data integrity in agricultural supply chains — examining the engineering trade-offs of running a permissioned chain alongside field-deployed sensor networks.

IOP · Journal·2023

Survey of AI models and techniques in the analysis and prediction of neuro-degenerative diseases

Dr. Srikanth Prabhu, Suryaansh Rathinam, Chirag Rao, Anurag Choudhary

Comprehensive survey of AI models and techniques applied to the analysis and prediction of neurodegenerative diseases.

Springer · Conference·2022

Analysis and Comparison of Different Frontend Frameworks

Suryaansh Rathinam · ATIS 2022

Analysis and performance comparison of popular frontend frameworks — React, Vue.js, and Angular.

View
Research Internship·2023

Image Segmentation of Mouse Kidney Ultrasound using CNN

Medical Imaging & Theragnostic Lab, IIT Kharagpur · Jun – Aug 2023

Conducted research on medical image analysis using convolutional neural networks for ultrasound image segmentation of mouse kidney samples.

06Education

Education

National University of Singapore logo

National University of Singapore

Masters of Computing: Artificial Intelligence Specialisation

Aug 2024 – Dec 2025GPA: 4.45 / 5

Specialising in AI with focus on machine learning, deep learning, and natural language processing. Teaching Assistant for Cloud Computing and Software Engineering.

Neural Networks and Deep LearningDistributed SystemsAI Planning and Decision MakingKnowledge Discovery and Data MiningBig Data AnalyticsText MiningInformation VisualizationUncertainty Modelling in AI
Manipal Institute of Technology logo

Manipal Institute of Technology

Bachelor's of Technology: Computer Science

Sep 2020 – Jul 2024GPA: 9.30 / 10

Comprehensive computer science education with strong foundation in algorithms, data structures, and software engineering.

Data Structures And ApplicationsDigital System DesignObject Oriented ProgrammingDatabase SystemsDesign And Analysis Of AlgorithmsEmbedded SystemsFormal Languages And Automata TheoryCompiler DesignComputer NetworksOperating SystemsSoftware EngineeringDistributed SystemsParallel Computer Architecture And ProgrammingBig Data Integration And Processing
07Contact

Contact

Happy to talk applied AI, LLM systems, agents, RAG, or the engineering side of shipping ML products. Not actively looking, but always up for an interesting conversation.

30-minute call — happy to chat about anything AI, engineering, or otherwise.

Based in Singapore