I turn research into real products — from fine-tuning ML models to deploying the full-stack systems that put them in users' hands. Currently a Senior AI Engineer at ST Engineering.
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.
Senior AI Engineer
Senior AI Engineer in the Research & Development division, working on AI safety guardrails and generative UI for production AI systems.
Founding Engineer (Backend & AI Lead)
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.
AI Developer
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.
Full Stack Developer · Part-time
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.
Full Stack Developer
Built financial intelligence platform for e-commerce profitability. Developed UI/UX enhancements, REST API endpoints, and AI Assistant using OpenAI API.
QA Automation Engineer
Worked on Quality Assurance, Automation and Testing. Automated test cases using Selenium and Appium, integrated with CI/CD pipeline.
Full Stack Software Engineering Intern
Worked on building an end-to-end SDLC tool. Developed both frontend and backend components, wrote unit tests for microservices.
Selected work — production systems and side experiments.
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).
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.
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.
What I've actually shipped with.
Peer-reviewed publications and research projects.
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.
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.
Suryaansh Rathinam · ATIS 2022
Analysis and performance comparison of popular frontend frameworks — React, Vue.js, and Angular.
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.
Masters of Computing: Artificial Intelligence Specialisation
Specialising in AI with focus on machine learning, deep learning, and natural language processing. Teaching Assistant for Cloud Computing and Software Engineering.
Bachelor's of Technology: Computer Science
Comprehensive computer science education with strong foundation in algorithms, data structures, and software engineering.
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.