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NayanSaraff/README.md

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About Me

  • πŸŽ“ 3rd-year BTech student at Manipal Institute of Technology, Udupi
  • πŸ“ˆ Long-term goal: quant developer β€” bridging software engineering with algorithmic trading and financial markets
  • πŸ› οΈ Right now: shipping backend systems, AI-integrated web apps, and a cybersecurity capstone
  • πŸ“Š Recently competed in IMC Prosperity (algorithmic trading), building a Python market-making bot across five iterations

Tech Stack


GitHub Stats


Featured Projects

Engineering Operations Intelligence Platform

An engineering-ops analytics platform with a Spring Boot + PostgreSQL backend, a Python/Pandas EDA pipeline, and a Power BI dashboard β€” designed to grow into a full production system with alerting, incident tracking, and predictive analytics.

Java Spring Boot PostgreSQL Python Power BI

CipherVault Enterprise

A zero-trust secure document and data protection platform β€” encryption, searchable encryption, digital signatures, integrity verification, and audit logging β€” built as a long-term cybersecurity capstone aimed at eventually going open-source or SaaS.

Python Java Spring Boot React PostgreSQL

RAG Application

A full-stack retrieval-augmented generation app with streaming responses, large-file handling, hybrid BM25 search, and cross-encoder reranking.

Streamlit Groq ChromaDB Sentence-Transformers

StockGro Terminal

A Bloomberg-style trading dashboard for NSE India stocks, paired with a data-driven stock analysis capstone using ARIMA, Prophet, LSTM, GARCH, and ensemble forecasting methods.

Streamlit Python Time Series

PromptCraft

A prompt engineering toolkit built across multiple iterations, with SSE streaming, caching, and usage analytics.

Node.js Express Groq API

ElectIQ India

An AI-powered Indian election guide built for a hackathon (Hack2Skill + Google for Developers), reaching an 88% AI evaluation score after iterative refinement.

Next.js Groq API Vercel


In Progress

Extending the Engineering Operations Intelligence Platform toward a full "Enterprise Digital Brain" β€” knowledge graph, semantic/graph RAG, and risk-prediction dashboards. Also building a cybersecurity + ML integrated project under a professor's guidance, alongside CipherVault Enterprise.


Currently Learning

Quantitative Finance Β· Stochastic Calculus Β· Algorithmic Trading Β· System Design Β· Agentic AI with Java (Spring AI, LangChain4j)


"Understand the market before you try to beat it."

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