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prithwiraj99

Prithwiraj

@prithwiraj99

Building Scalable Digital Solutions That Perform and Deliver Results

India
English, Hindi, Bengali
About me
Full-Stack Developer specializing in web development, WordPress solutions, UI/UX design, and AI-powered applications. My expertise includes MERN stack development, WordPress customization, API integrations, website optimization, performance tuning, and AI/LLM integration. I build secure, scalable, and user-focused solutions designed for real-world business needs. From concept to deployment, I deliver clean, maintainable, and production-ready products that prioritize performance, reliability, and long-term growth. Portfolio: https://prithwiportfolio.vercel.app/... Read more

Skills

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prithwiraj99
Prithwiraj
Offline • 

See my services

Custom Websites
I will build a fast, responsive, and custom website using modern technologies
From$85 / projectMore details
Custom GPT Apps
I will fine tune llm and slm models for ai apps and chatbots
From$50 / projectMore details

Portfolio

Work experience

Self_Level

Vectorized Precedent Retrieval and Multi-Agent Deliberation for Interpretable Legal Decisions

Self Level • Self-employed

Jan 2025 - Present • 1 yr 6 mos

Co-authored and engineered a published AI research system focused on interpretable legal decision intelligence using vectorized precedent retrieval and multi-agent deliberation frameworks. Designed and implemented a scalable pipeline that leverages semantic embeddings to retrieve contextually relevant legal precedents, combined with multi-agent reasoning to simulate structured legal analysis and generate explainable outcomes. Integrated advanced Natural Language Processing (NLP), vector search architectures, and AI agent coordination to enhance decision accuracy, transparency, and interpretability—key requirements in real-world legal and compliance systems. Emphasized Explainable AI (XAI) principles, enabling traceable reasoning paths and human-understandable justifications for each decision, improving trust and auditability. Successfully published under CSE/IT 2025, demonstrating strong expertise in AI system design, intelligent retrieval systems, and production-oriented research implementation.