AI Engineer · Agentic Infrastructure
CS @ Nanyang Technological University · Expected 2029
AI Engineer @ Cyber Sierra · Director, Quantitative Finance Academy
- Agentic AI platform @ Cyber Sierra — multi-agent system that lets non-technical staff query Git repositories via natural language through Slack, chaining skills (
/grill-me,/to-prd,/to-issues) with DevRev ticket integration. Python, FastAPI, Inngest, Slack Bolt, Anthropic SDK. - Zoom Clone in Rust - WebRTC signalling server + SFU from scratch in Rust/tokio
- Cursor for PMs — early validation. Interviewing product managers to find the one workflow worth eliminating.
I build agentic AI systems — the kind that think across context, take real actions, and integrate with the tools teams actually use. Right now that means designing production multi-agent pipelines at Cyber Sierra, an AI-powered GRC platform in Singapore, where I work on LLM orchestration, semantic retrieval, eval frameworks, and event-driven human-in-the-loop workflows.
Before that: high-throughput data pipelines at eLife (AWS SQS, gRPC, Kubernetes), ETL infrastructure at Netvirta (AWS EKS, 100k+ SKU onboarding), and a document ingestion pipeline for Skills@CCDS — PDF classification via OpenAI embeddings, schema-constrained LLM extraction with Zod validation, and human-in-the-loop verification before profile commit.
At core, I'm a problem solver. The domain matters less than the depth.
Systems Rust · C++ · Python · TypeScript · Go
Backend FastAPI · gRPC · QUIC · WebSockets · Redis · PostgreSQL
Cloud AWS (EKS, SQS) · Kubernetes · Docker · Terraform
Agentic LLM Orchestration · Agentic Systems · Semantic Retrieval · RAG · Eval Frameworks
ML OpenAI Embeddings · LangChain · Qdrant · Zod · GenAI pipelines
| Project | What it does | Stack |
|---|---|---|
| trace-zero | Full-stack optimal execution simulator. Implements Almgren-Chriss (2000) against real Binance L1 data. Compares AC vs TWAP vs Dump across isolated exchange instances, measuring implementation shortfall in bps. Bloomberg Terminal UI. | Python · FastAPI · Next.js · NumPy |
| market-replay | Nanosecond-accurate top-of-book capture & replay for execution backtests. Monotonic clock, pluggable handler system, file rotation. | Python · WebSocket · Binance |
| capm-portfolio-optimizer | Beta estimation via linear regression + Markowitz MVO + Monte Carlo simulation across 10,000 weight combinations. | Python · NumPy · SciPy |
| wayfinder | AI career navigation engine. Top 13 / 100+ teams at NTU Techfest 2026. | Next.js · pgvector · OpenAI |
| pollpulse-tn | Real-time NLP sentiment pipeline for Tamil Nadu 2026 election forecasting. | Python · NLP · Supabase |
- Andrej Karpathy — How LLMs Work (building from first principles)
- Nassim Taleb — Antifragile
- Bhagavad Gita Chapter 14 — on the three modes of nature
Director of the Quantitative Finance Academy at NTU — designing curriculum on market microstructure and ML in finance for 80+ members. Varsity cricket. Long-term goal: a coffee estate in Kodaikanal.
🌐 kpriyadharshan.dev · 💼 linkedin.com/in/kpriyadharshan · 📧 priyadha013@e.ntu.edu.sg ·