Skip to content
View Suriya-002's full-sized avatar
2 followers · 0 following

Highlights

  • Pro

Block or report Suriya-002

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Suriya-002/README.md

Hi, I'm Suriya!

Suriya-002 Suriya-002

AI Engineer and Quantitative Researcher building production-grade LLM systems and systematic trading strategies. Currently pursuing MS in Applied Data Science at the University of Florida (GPA: 3.88).

My work spans two tracks: AI/ML Engineering (agentic AI platforms, RAG pipelines, production LLM deployment) and Quantitative Finance (regime-switching models, statistical arbitrage, market microstructure). I focus on building systems that are reliable, auditable, and deliver measurable value.

🤖 AI & Agentic Systems

Project Description Key Results
AgentForge Multi-agent platform for autonomous financial workflows using LangGraph + CrewAI 500+ workflow runs, 40% token cost reduction
FinSight AI-powered financial news monitor with RAG assistant and automated briefings 2K+ docs/day, 15+ sources, <2s query latency
FaultMatrix Enterprise RAG system for device repair intelligence with zero-shot NER 1,109 guides processed, 83 failure clusters

📊 Quantitative Research

Project Description Key Results
Statistical Arbitrage Framework Cointegration-based pairs trading with Kalman Filter hedge ratios 22.4% ann. return, 1.52 Sharpe
Market Regime Detection Hidden Markov Model for regime-aware position sizing 1.07 Sharpe OOS, 42% drawdown reduction
Volatility Surface Modeling SABR/SVI calibration, local vol extraction, arbitrage detection Production-ready Greeks engine
Deep Learning Order Flow LOB-Net + Transformer for short-term price prediction 61.3% directional accuracy
Optiver Realized Volatility HF volatility forecasting with LightGBM ensemble 6.12 bps MAE

🛠️ Technical Stack

Python C++ AWS React PyTorch Docker

AI/ML & Agentic Systems LangGraph · CrewAI · LangChain · RAG · Function Calling · MCP Protocol · Prompt Engineering · AWS Bedrock · Pinecone · PyTorch · TensorFlow · XGBoost

Quantitative Methods Statistical Arbitrage · Cointegration · Kalman Filters · Hidden Markov Models · SABR/SVI Volatility · Monte Carlo Simulation · Portfolio Optimization · VaR/CVaR

Infrastructure & Cloud AWS (Lambda, Step Functions, SQS, Bedrock, SageMaker) · Docker · FastAPI · PostgreSQL · DynamoDB · CI/CD · CloudWatch

📜 Certifications

  • AWS: Solutions Architect (Associate), ML Specialty, ML Engineer (Associate), AI Practitioner, Cloud Practitioner
  • Azure: AI Engineer (Associate), Data Scientist (Associate)
  • Akuna Capital: Options 101 & 201 (1st Class Distinction)

🤝 Connect

Gmail LinkedIn GitHub

Popular repositories Loading

  1. Serverless-Scalable-Website-using-Amplify Serverless-Scalable-Website-using-Amplify Public

    HTML

  2. Python_-Pursuit Python_-Pursuit Public

    Python

  3. Review_Using_Data_Visualization Review_Using_Data_Visualization Public

    Jupyter Notebook

  4. Landmine_predictor_using_CNN Landmine_predictor_using_CNN Public

    A CNN and MobileNet based model pretrained with images

    Jupyter Notebook

  5. Initiatives Initiatives Public

    Jupyter Notebook

  6. Practitioner Practitioner Public