My profile
Gen AI Engineer

Hi, I'm Prashant

Building Intelligent Systems with LLMs & Agentic Workflows

I engineer production-grade AI systems — not just prompt wrappers. Specializing in RAG pipelines, multi-agent architectures, and LLM-powered backends that solve real problems.

Gen AI Engineer

RAG Pipelines · LangGraph · Multi-Agent Systems · pgvector

Full-Stack Builder

FastAPI · Django · React · PostgreSQL · SQLAlchemy

Python Expert

LangChain · LlamaIndex · Groq · HuggingFace · Automation

LangGraphLangChainRAGpgvectorGroqLlama 3HuggingFaceFastAPIPrompt Engineering
Research Spotlight

Evaluating AI Agents with LLM-Based Judges

Publication on agent evaluation, ranking, and judge-human agreement analysis. A strong signal that your work is not limited to app builds.

Technical Expertise

Gen AI engineer with a focus on building production-ready LLM applications — RAG systems, multi-agent pipelines, and intelligent backends grounded in solid software engineering.

Gen AI & LLM Engineering

  • LangChain / LangGraph
  • RAG Pipelines
  • Prompt Engineering
  • Embedding Models (OpenAI)
  • Groq API / HuggingFace
  • Agentic Workflows
  • Vector Databases
  • Llama 3 / GPT / Gemini

RAG & Vector Infrastructure

  • pgvector (PostgreSQL)
  • ChromaDB
  • Semantic Search
  • Hybrid OCR (PyMuPDF + EasyOCR)
  • Document Chunking
  • Retrieval Optimization
  • Anti-Hallucination Patterns
  • Context Window Management

Backend & APIs

  • FastAPI
  • Django REST Framework
  • Django Channels
  • SQLAlchemy Core
  • PostgreSQL
  • Redis
  • WebSockets
  • JWT Auth

Frontend

  • React 18+
  • Astro 6
  • TypeScript
  • Vite
  • Tailwind CSS
  • Responsive Design

Python & Data Engineering

  • Pandas / NumPy / SciPy
  • Matplotlib
  • Playwright / Selenium
  • Beautiful Soup
  • Python Automation
  • Data Pipelines

DevOps & Tooling

  • Git / GitHub
  • Docker (basics)
  • Alembic (DB Migrations)
  • Vercel / Railway
  • Supabase
  • Environment Config

Multi-Agent Systems

Built a 4-agent LangGraph pipeline for automated data analysis — structural profiling, LLM semantic tagging, preprocessing, and statistical analysis.

🤖

Production RAG System

Deployed a full-stack RAG application with pgvector, OpenAI embeddings, citation-backed answers, and hallucination-prevention guardrails.

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AI & Full-Stack Tech Stack

LLM Frameworks

LangChain, LangGraph

LLM Models

Llama 3, Groq, Gemini

Vector DB

pgvector, ChromaDB

Embeddings

OpenAI text-embedding-3-small

AI Backend

FastAPI, Django

Frontend

React, Astro, Vite

Data

Pandas, NumPy, SciPy

Auth & Infra

JWT, Supabase, Docker

PRASHANT.DEV

Computer Engineering student and Full-Stack Developer specializing in Python, Django, and React. Building scalable solutions from Nepal to the world.

Available for Freelance

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