Anant Shanker
Hey! I am Anant, a recent CS undergraduate from NUS. I am passionate about high-quality code, systems, AI, and all other things tech. I enjoy working on complex problems, creating cool tech, collaborating with people, and positively impacting the teams I work with.
My experience spans JPMorgan Chase, GovTech Singapore, International Baccalaureate, and Tradesocio, where I built scalable APIs, AI interfaces, data workflows, and production systems with strong testing habits.
Outside of engineering, you will usually find me playing tennis, jamming, or learning about topics I know little about.
More about me!
Software Engineering Intern
JPMorgan Chase - Singapore
Built AI-powered liquidity tooling for merchant clients including Amazon, Netflix, and Walmart.
Developed a React, FastAPI, and Python chatbot giving roughly 5,000 operations users real-time liquidity insights.
Reduced data retrieval time by 80% by moving frequent liquidity questions into instant conversational workflows.
Designed and scaled an MCP server for service integrations, cutting integration time by 70% and backend changes by 30%.
- React
- FastAPI
- Python
- MCP
- AI tooling
Software Engineering Intern
GovTech Singapore - Singapore
Engineered digital asset management systems used across 20+ government agencies.
Optimized folder operation latency by 70% across more than 3M folder hierarchies with materialized views and concurrency control.
Enabled multi-tagging and reverse metadata search across more than 5M digital assets, helping attract 5 government agencies.
Applied test-driven development to sustain 90%+ line coverage across production services.
- Vite
- NestJS
- PostgreSQL
- AWS
- Docker
- TDD
AI Engineering Intern
International Baccalaureate - Singapore
Built an internal AI chatbot to help 100,000+ teachers retrieve educational content from documents.
Integrated React, Quart, and Azure AI Studio to support document-grounded content retrieval.
Improved chatbot intent recognition accuracy by 40% with Azure CLU across 6 intents.
Improved answer accuracy by nearly 50% through static dropdown flows and prompt engineering.
- React
- Quart
- Azure AI
- LLMs
- Python
Software Engineering Intern
Tradesocio - Singapore
Created AI workflows for financial content analysis and client-facing chat experiences.
Developed Telegram and Meta financial chatbots using Express.js and GPT-4, contributing to 2 client wins.
Integrated MySQL analytics to improve chatbot personalization by 40%.
Built a Next.js financial news analyzer that reduced executive research time by 60%.
- Next.js
- Express
- GPT-4
- MySQL
- Analytics
Data Analyst Intern
Gilgamesh - Singapore
Automated reporting and improved data quality for financial analysis workflows.
Reduced daily financial report generation time by 95% through automated aggregate metrics.
Restructured and cleaned a MySQL database to increase retrieval efficiency two fold.
Built automated live reports and Tableau visuals from MySQL integrations.
- MySQL
- Tableau
- Automation
- Data quality
For the latest role details, visit my LinkedIn profile.