PRANAY
KUMAR
[ 01 / ARCHITECTURE ]
SYS.VER // 4.8.2STATUS: OPERATIONAL
[ ROLE: AI & SOFTWARE ARCHITECT ]

ORCHESTRATING
INTELLIGENCE
& PRODUCTION
PIPELINES

Specializing in hybrid AI ecosystems, autonomous agent frameworks, and high-throughput web architecture. Bridging the gap between raw LLM inference and deterministic, highly optimized frontend experiences.

[ DISTRIBUTED SYSTEMS ][ NEURAL ARCHITECTURE ]
LOC: 127.0.0.1 // DEV
FIG. 001
Pranay
system-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-nodesystem-node

Blending Robust
Web Architecture
With Agentic AI.

PYTHON/
LITELLM/
GROQ API/
GEMINI API/
SMOLAGENTS/
CHROMADB/
SEMANTIC CACHING/
PYTHON/
LITELLM/
GROQ API/
GEMINI API/
SMOLAGENTS/
CHROMADB/
SEMANTIC CACHING/
NEXT.JS/
REACT/
FLASK/
VITE/
VERCEL/
AGENTIC PIPELINES/
RAG WORKFLOWS/
LLM ORCHESTRATION/
NEXT.JS/
REACT/
FLASK/
VITE/
VERCEL/
AGENTIC PIPELINES/
RAG WORKFLOWS/
LLM ORCHESTRATION/
SPACY/
TESSERACT OCR/
OPENCV/
EASYOCR/
PYPDF2/
SQL/
C/
CRON AUTOMATION/
GITHUB COPILOT/
GOOGLE ANTIGRAVITY/
SPACY/
TESSERACT OCR/
OPENCV/
EASYOCR/
PYPDF2/
SQL/
C/
CRON AUTOMATION/
GITHUB COPILOT/
GOOGLE ANTIGRAVITY/

SELECTED WORKS
— ARCHITECTURE & SYSTEMS

TOTAL SUBSYSTEMS: 03
DEPLOYED STATUS: ACTIVE
[ SYS.01 // AUTONOMOUS ]LATENCY: <50MS // LOCAL CACHE

JARVIS Desktop Assistant

Hybrid self-learning AI assistant routing OS-level commands through a local ChromaDB semantic cache. Integrates ReAct pattern CodeAgents and multi-model fallback routing.

PYTHON / SMOLAGENTS / LITELLM / CHROMADB
VIEW ARCHITECTURE
[ SYS.02 // GENERATIVE PIPELINE ]STATUS: PRODUCTION DEPLOYED

Creative AI Content Engine

Automated content generation pipeline architected for digital studio workflows. Orchestrates multiple APIs for deterministic script, image, and video synthesis.

OPENAI / GOOGLE GEMINI / REPLICATE API / NEXT.JS
VIEW ARCHITECTURE
[ SYS.03 // NLP // OCR ]ROUGE-1: 0.45 // 92% ACCURACY

MINDOC Summarization API

NLP-powered document summarization engine utilizing extractive techniques and optical character recognition. Handles concurrent requests with sub-2-second response times.

PYTHON / FLASK / TESSERACT OCR / SPACY / TF-IDF
VIEW ARCHITECTURE