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Praharsh-Projects/README.md

Praharsh Pulla

Applied AI & Innovation Engineering

MSc Computer Science candidate in Sweden building AI decision-support systems, simulation demos, and research-backed technical artifacts for operational domains.

LinkedIn Email GitHub

Current Work

  • Building retrieval-grounded and deterministic AI decision-support workflows with traceable evidence, bounded analytics, and reproducible outputs.
  • Supporting digitalization and decarbonization research through digital-twin and energy-twin pilot evaluation, structured documentation, and stakeholder-facing materials.
  • Creating demo-ready simulation and visualization tools for innovation challenges, workshops, and technical storytelling.

Focus Areas

  • Applied AI, RAG, and trustworthy decision support.
  • Innovation research briefs, demos, and workshop-ready prototypes.
  • Simulation, digital twins, operational analytics, and evidence-based technical communication.
  • Practical engineering with Python, FastAPI, React, Three.js, Docker, PostgreSQL, vector search, and graph-backed analysis.

Featured Work

Work Repository / Artifact What It Covers Stack
Eagle Eye - Traceable AI Assistant for Port Operations Eagle_Eye Deterministic analytics, forecasting, carbon evidence, retrieval-grounded answers, and explainable evidence paths over AIS and port-call data. Python, FastAPI, Streamlit, RAG, Docker
PEMA - ZERO-WAIT STS 3D Pitch Simulator PEMA React/Vite + Three.js simulator for demonstrating sequencing, resequencing, safety modes, and innovation-storytelling around terminal operations. React, Vite, Three.js, TypeScript/JavaScript
TrustFed-Diabetes - Trust-Aware Federated Learning TrustFed-Diabetes Run-only handover package and dashboard for decentralized model evaluation, bundled results, and reproducible review without retraining. Python, federated learning, dashboarding, Docker
SecPurityAI - Security Event and Vulnerability Analytics SecPurity Multi-store cybersecurity analytics with event ingestion, CVE context, alerting, vector similarity search, graph scoring, and audit-oriented workflows. FastAPI, PostgreSQL, MinIO, Qdrant, Neo4j
Research Papers Researh_papers Conference and academic writing on explainable maritime intelligence, digital twins, energy twins, software metrics, and security research. Research writing, evaluation design

Tech Stack

Python JavaScript TypeScript Java React Three.js FastAPI PostgreSQL Docker Neo4j

Collaboration

I am open to applied AI, innovation, simulation, and research-engineering work where prototypes need to become clear, testable, and explainable.

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