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Praharsh-Projects/README.md

Praharsh Pulla

Simulation + AI Engineer for Port Operations

I build digital twin simulations, retrieval-grounded decision support systems, and production-ready engineering workflows.

LinkedIn Email GitHub

Current Work

  • Designing digital twin simulations for port terminal operations to test throughput, delay, queueing, and disruption scenarios.
  • Building LLM-based decision support with traceable retrieval-augmented generation (LangChain + RAG) for operator-facing recommendations.
  • Containerizing simulation and AI components with Docker/Docker Compose and standardizing CI/CD workflows for repeatable demos and deployments.

Focus Areas

  • Operations simulation and what-if experimentation.
  • Retrieval-grounded AI systems with citations and policy-aligned outputs.
  • Production engineering: observability, documentation, deployment reliability.

Featured Work

Work Repository / Artifact What It Covers Stack
SecPurityAI - Cybersecurity Analytics Platform SecPurity Multi-store cybersecurity analytics with CVE intelligence, threat-log ingestion, semantic/vector search, and graph scoring. FastAPI, PostgreSQL, MinIO, Qdrant, Neo4j
Eagle Eye - AI Assistant for Baltic Port Operations Eagle_Eye AIS pipeline, congestion analytics, forecasting, and retrieval-grounded assistant for operational queries. Python, FastAPI, LangChain, FAISS, Docker
Smart Decision Support System for Port Cybersecurity SDSS-Port-Management Port cybersecurity risk assessment with API + dashboard workflows and AIS-integrated analysis. Python, Flask, ML, CesiumJS
Intelligent Intrusion Detection System Using Deep Learning IDS-PRoject Hybrid intrusion detection using ML/DL models with practical workflow tooling. Python, SVM, Random Forest, DNN, Tkinter
Dark Web Data Collection Benchmark using DARC RM REPORT.pdf Benchmark study comparing DARC with other crawlers across speed, completeness, anonymity, and resilience. Cybersecurity Research, Benchmarking
Maintainability Analysis of Apache RocketMQ using GQM SM_PROJECT (2).pdf Maintainability analysis across RocketMQ versions using Goal-Question-Metric and OO metrics. Software Metrics, GQM, Code Analysis

Tech Stack

Python JavaScript TypeScript Java Dart React Node.js Express FastAPI MongoDB PostgreSQL Docker Kubernetes AWS Azure

GitHub Snapshot

GitHub stats Top languages

Collaboration

I am open to collaboration on simulation-driven analytics, operational AI, and production-hardening projects.

Pinned Loading

  1. ai-codegen-eval-demo ai-codegen-eval-demo Public

    Python

  2. Egle-eye Egle-eye Public

  3. IDS-PRoject IDS-PRoject Public

    Python

  4. MicroServices MicroServices Public

  5. Researh_papers Researh_papers Public

  6. SDSS-Port-Management SDSS-Port-Management Public

    Python 1