About Me

Passionate about creating innovative solutions through technology and research

Suryaansh Rathinam - About

Hello, I'm Suryaansh Rathinam

I'm pursuing my Masters of Computing (AI Specialization) at the National University of Singapore.

Proficient as a Full Stack Developer with experience in ML Development, I've constantly worked on developing my skills by exploring various tech stacks, tools, and frameworks through diverse projects, fostering an unceasing desire for learning and growth.

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.

Skills & Technologies

Explore my technical expertise

Featured Projects

View my latest work

Research Work

Academic publications

Let's Connect

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0+
Years Experience
0
Publications
NUS
Masters in AI

My Projects

A collection of projects showcasing my expertise in full-stack development, AI/ML, and system design

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).
Next.jsReactTailwind CSSFastAPIPythonPineconeOllamaOAuthEmail AIRAGVector DB
Feb 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.
ReactMongoDBPineconeOpenAIRAGVector DBYoutube Videos
Nov 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.
Chrome ExtensionFastAPIOpenAI WhisperMistral-7BML Pipeline

My Skills

A comprehensive overview of my technical expertise across various domains

Artificial Intelligence & Machine Learning
Large Language Models (LLMs)OpenAI APIMistralVector DatabasesRAG (Retrieval Augmented Generation)Knowledge GraphsSpeaker DiarizationComputer VisionCNNRNNMedical Image AnalysisNLPAI Model IntegrationPrompt EngineeringTransformers
Programming Languages
Frontend Development
Backend Development
Databases & Cloud
Testing & Automation
50+
Technologies
10+
Projects
3
Research Papers
5+
Work Experiences

Education

My academic journey in computer science and artificial intelligence

National University of Singapore logo
National University of Singapore

Masters of Computing: Artificial Intelligence Specialisation

2024-2025
GPA: 4.45 / 5
Specializing in AI with focus on machine learning, deep learning, and natural language processing.
Teaching Assistant for
Cloud Computing
and
Software Engineering
4.45 / 5 GPA
Neural Networks and Deep Learning
Distributed Systems
AI Planning and Decision Making
Knowledge Discovery and Data Mining
Big Data Analytics
Text Mining
Information Visualization
Uncertainty Modelling in AI
Manipal Institute of Technology logo
Manipal Institute of Technology

Bachelor's of Technology: Computer Science

2020-2024
GPA: 9.30 / 10
Comprehensive computer science education with strong foundation in algorithms, data structures, and software engineering.
9.30 / 10 GPA
Data Structures And Applications
Digital System Design
Object Oriented Programming
Database Systems
Design And Analysis Of Algorithms
Embedded Systems
Formal Languages And Automata Theory
Compiler Design
Computer Networks
Operating Systems
Software Engineering
Distributed Systems
Parallel Computer Architecture And Programming
Big Data Integration And Processing

Work Experience

Professional journey across startups and established companies

ST Engineering logo
ST Engineering

Senior AI Engineer

May '26 - Present

Senior AI Engineer in the Research & Development division.

Key Highlights

    Technologies Used

    PythonAI/MLR&D
    ThoutAI logo
    ThoutAI

    Founding Engineer (Backend & AI Lead)

    Aug '25 - Apr '26

    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.

    Key Highlights

    • 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.

    Technologies Used

    PythonFastAPINode.jsTypeScriptPostgreSQLRedisLangChainOpenAIWebSocketsAWSDocker
    Datalens AI logo
    Datalens AI

    AI Developer

    May '25 - Jul '25

    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.

    Key Highlights

    • 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.

    Technologies Used

    PythonWhisperPyTorchHuggingFace TransformersStreamlitFastAPIPostgreSQLSQLAlchemyOpenAI API
    AIDF (Asian Institute of Digital Finance) logo
    AIDF (Asian Institute of Digital Finance)

    Full Stack Developer

    Oct '24 - Jun '25

    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 NextJS front-end, and integrated secure authentication, real-time data visualizations, and automated report generation pipelines.

    Key Highlights

    • 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 NextJS with Recharts & AntD, enabling stakeholders to visualize 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.

    Technologies Used

    NextJSDjangoOpenAI GPT-4GraphQLPostgreSQLRechartsAnt DesignDockerAWS (Lambda, S3, RDS)GitLab CI/CD
    Moneyflo logo
    Moneyflo

    Full Stack Developer

    Mar '23 - Jul '24

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

    Key Highlights

    • Enhanced platform UI/UX across multiple iterations
    • Built RestAPI endpoints and backend functionalities
    • Developed AI Assistant with OpenAI integration
    • Provided data insights for client decision-making

    Technologies Used

    NextJSSassAntDFastAPINestJSTypeORMPostgresAWSOpenAI
    Ridecell logo
    Ridecell

    QA Automation Engineer

    May '22 - Aug '22

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

    Key Highlights

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

    Technologies Used

    PythonPytestRestAPIsSeleniumAppiumTestrail
    KaizIQ logo
    KaizIQ

    Full Stack Software Engineering Intern

    Apr '22 - Jul '22

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

    Key Highlights

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

    Technologies Used

    ReactJSJavaScriptCSSJavaSpring Boot
    PE Front Office logo
    PE Front Office

    Frontend Developer

    Dec '21 - Jan '22

    Worked on help-engine for alternative investment management platform. Enhanced user interface and implemented additional features.

    Key Highlights

    • Enhanced help-engine user interface
    • Implemented new client-facing features
    • Improved user experience for financial platform
    • Worked with alternative investment management tools

    Technologies Used

    HTMLCSSJavaScriptjQueryBootstrap

    Research Work

    Academic publications and research contributions in AI, computer science, and interdisciplinary fields

    Research Internship
    Image Segmentation and Analysis of Ultrasound of Mouse Kidney using CNN

    Institution: Medical Imaging and Theragnostic Lab, IIT Kharagpur

    Duration: Jun - Aug 2023

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

    Conference Paper
    Analysis and Comparison of Different Frontend Frameworks

    Authors: Suryaansh Rathinam

    Conference: ATIS 2022 Conference

    Publication: Springer's CCIS Series (Volume 1804)

    Comprehensive analysis and performance comparison of popular frontend frameworks including React, Vue.js, and Angular.

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

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

    Conference: AICECS 2023

    Publication: IOP: Journal of Physics (Volume 2751)

    Comprehensive survey of artificial intelligence applications in neurodegenerative disease analysis and prediction.

    IEEE Paper
    Exploring IoT-Blockchain Integration in Agriculture: An Experimental Study

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

    Publication: IEEE Access

    Experimental study on the integration of IoT and blockchain technologies in agricultural applications.

    4
    Publications
    3
    Conferences
    2
    Journals
    1
    Research Internship

    Get In Touch With Me

    I'd love to hear from you! Whether you have a project in mind, want to collaborate, or just want to say hello.

    Let's Connect!

    I'm currently open to new opportunities, freelance projects, and interesting collaborations. I'm particularly interested in projects involving AI/ML, full-stack development, or research opportunities.

    Book a 30-minute call to discuss opportunities, projects, or just to chat!

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    Based in Singapore • Available for remote work worldwide

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