Applied AI Systems · Multi-Agent Architectures

_CS Undergraduate · AI Systems Builder

Computer Science undergraduate specializing in multi-agent orchestration, AI evaluation systems, and production-ready conversational AI.

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// CURRENTLY BUILDING

KalExam

AI-powered RAG learning & evaluation platform

Active

Multi-Agent Infrastructure

Multi-agent automation infrastructure using OpenClaw

Active

About Me

Applied AI systems builder focused on production architectures

I'm a Computer Science undergraduate at Charotar University of Science And Technology, graduating in 2027. I specialize in building applied AI systems — multi-agent orchestration, AI evaluation platforms, and production-ready conversational AI.

At Confido Health, I'm currently working on AI voice assistants that handle patient calls for healthcare clinics — designing conversational flows, engineering prompts for reliability, and optimizing systems for production use across multiple locations.

Alongside my internship, I'm building KalExam, a RAG-powered learning and evaluation platform, and an autonomous multi-agent system using OpenClaw with Boss–Worker architecture for 24/7 automated workflows.

I prioritize production-oriented systems over experimental demos. My approach centers on structured prompt design, evaluation-first architectures, and deployment-aware AI systems.

Bachelor of Technology: Computer Science

Multi-Agent Orchestration

Autonomous agent architectures

AI Evaluation Systems

RAG & assessment platforms

Conversational AI

Production voice assistants

Prompt Engineering

Structured prompt design

Computer Vision

Real-time detection systems

Skills & Technologies

Building applied AI systems, autonomous agents, and production infrastructure

AI & Agent Systems

Featured

Multi-Agent Orchestration
RAG & Evaluation Systems
Conversational AI & Voice
Prompt Engineering
AI Workflow Automation
Autonomous Architectures

6 skills

Languages

Python
TypeScript
JavaScript
C / C++
Bash / Shell

5 skills

ML & Computer Vision

OpenCV
Deep Learning
Face Recognition
NLP

4 skills

Backend & Data

Supabase
PostgreSQL
Next.js
REST APIs
Webhooks

5 skills

Systems & DevOps

Linux
Docker
SSH
System Debugging

4 skills

Tools & Platforms

Git & GitHub
OpenClaw
Retell AI
Vocera

4 skills

// EXPERTISE

What I build

Building applied AI systems with structured architectures designed for production reliability.

Multi-Agent Orchestration

Designing autonomous agent architectures with structured delegation and self-healing workflows

Active

AI Evaluation Systems

Building RAG-powered platforms with source-grounded responses and citation tracking

Active

Conversational AI

Production voice assistants and prompt engineering for reliable, scalable AI interactions

Active

Deployment-Aware Systems

Monitoring dashboards, gateway health checks, and production observability for AI agents

Active

Projects

Real systems built for real problems

Project preview

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RAGMulti-Model AIPDF Ingestion+3 more
Featured Project
In Progress

KalExam – AI-Powered Learning & Evaluation Platform

An AI-driven learning system that generates personalized study strategies from syllabus, study materials, and past papers.

  • RAG-powered contextual learning with source-grounded responses
  • Multi-model AI routing to optimize speed and response quality
  • Source ingestion from PDFs, websites, and YouTube transcripts
  • Context-aware chat interface with citation tracking
RAGMulti-Model AIPDF IngestionYouTube TranscriptsAsync ArchitectureCaching
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OpenClawMulti-Agent SystemsCron Orchestration+2 more
Project

OpenClaw Multi-Agent Orchestration System

A structured 24/7 autonomous AI system built using OpenClaw with a Boss–Worker architecture.

  • Multi-agent delegation (Coordinator, Coder, Researcher, Extractor)
  • Scheduled autonomous workflows via cron orchestration
  • Self-healing gateway monitoring & failure recovery
  • Prompt-injection resistance and role-locking safeguards
OpenClawMulti-Agent SystemsCron OrchestrationTelegram APIGateway Monitoring
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Next.jsSupabase RealtimeEvent-Driven Architecture+2 more
Project

Mission Control – Real-Time AI Operations Dashboard

A production-grade monitoring and observability dashboard for autonomous AI agents.

  • Real-time agent activity feed
  • Uptime & health monitoring
  • Event-driven updates via Supabase Realtime
  • Global search across logs & workflows
Next.jsSupabase RealtimeEvent-Driven ArchitectureMonitoringTypeScript
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FastAPINext.js 14Supabase+3 more
Project

VoiceServe for PetPooja – AI Voice Ordering & Analytics System

An end-to-end voice AI ordering system with real-time upselling, order automation, and live restaurant analytics.

  • AI-powered voice ordering with real-time upselling and order automation
  • FastAPI APIs for menu validation, order processing, and recommendations
  • Data-driven upsell engine using association rule mining
  • Real-time analytics dashboard with Next.js and Supabase
FastAPINext.js 14SupabaseRetell AIAssociation Rule MiningPostgreSQL
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AI/MLLLMsJob Analysis+2 more
Project

HireAI

AI-driven platform to evaluate candidates strictly based on job requirements.

  • Automated job description analysis
  • Structured assessment generation (objective, subjective, coding)
  • Skill-based evaluation workflows
  • Built in 24-hour hackathon
AI/MLLLMsJob AnalysisAssessment GenerationRapid Prototyping
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Voice AIPrompt EngineeringJSON Templates+2 more
Project

Healthcare AI Voice Assistant @ Confido Health

Built at Confido Health — conversational AI systems for automated clinic call handling across multiple healthcare locations.

  • Built at Confido Health (active internship)
  • Dynamic prompt generation system
  • Location-specific AI voice configurations
  • Parameter injection (hours, procedures, routing)
Voice AIPrompt EngineeringJSON TemplatesPythonWebhooks
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PythonOpenCVDeep Learning+2 more
Project

FaceAttend

Automated attendance system using computer vision and facial recognition.

  • Real-time multi-face detection
  • Supabase-backed data storage
  • Classroom-scale deployment design
PythonOpenCVDeep LearningSupabasePostgreSQL
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// APPROACH

How I Build AI Systems

I focus on:

  • Structured prompt design
  • Evaluation-first architectures
  • Multi-agent orchestration
  • Workflow reliability
  • Deployment-aware AI systems

I prioritize production-oriented systems over experimental demos.

Experience

Professional journey and key milestones

Confido Health

Product Intern (AI Voice Assistants)

May 2025 - Present
Remote

Working on the development and optimization of AI voice assistants for healthcare clinics.

Key achievements

  • Developing and optimizing AI voice assistants for healthcare clinics
  • Improved natural language understanding and conversational flows for patient interactions
  • Assisted in refining ML models and prompt logic to improve call accuracy
  • Collaborated with product and engineering teams to test and iterate AI call workflows
  • Gained hands-on experience with AI systems, prompt engineering, and healthcare use cases
Current Role

Technologies

AI Voice AssistantsPrompt EngineeringConversational AIPython

Crest Data Systems

Intern

Jun 2023 - Jul 2023
Ahmedabad, India

Assisted in software development and data-related tasks under senior engineers.

Key achievements

  • Gained exposure to real-world development workflows and corporate engineering practices
  • Worked with basic scripting, debugging, and documentation tasks
  • Collaborated with cross-functional engineering teams

Technologies

Software DevelopmentScriptingDocumentation

Resume

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Last updated: March 2026

Let's work
together

I'm always interested in hearing about new projects and opportunities. Feel free to reach out if you want to collaborate or just chat about AI and technology.

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Ask Begu about my AI systems, projects, or architecture decisions.