What I've built
My Projects
Production systems spanning AI agent design, backend development, voice technology, and full-stack deployment. Every project is built with a focus on reliability and real-world impact.
Production Work
@ Telezer TechnologiesQC AI Agent
Production-grade Quality Control agent for automated call evaluation. Built the full pipeline: call recordings → Faster-Whisper STT → Qwen 7B local LLM → structured quality scoring and business insights. Implemented multi-step reasoning using LangGraph with fallback logic deployed on on-premise Linux servers.
Real-Time Voice AI Pipeline
End-to-end voice AI system for BPO automation, integrating VICIdial and Asterisk telephony with WebRTC (LiveKit) for real-time AI voice interactions. Designed low-latency conversational AI using ChatGPT and local LLMs with STT and TTS — managing complete call flows from ingestion to agent response.
Personal Projects
Custom AI Agent System
Fully local AI agent framework implementing the complete agent loop: intent parsing → tool selection → multi-step reasoning → structured output. Built RAG pipeline with ChromaDB and FAISS for context-aware responses over private data. Implemented tool-calling with JSON schema validation, fallback handling, and memory management.
Health Query AI Platform
Full-stack AI-powered health query platform using LLM-based responses with safety guardrails and domain-specific prompt engineering. Deployed RESTful APIs on Render with CI/CD frontend on Netlify. Focused on response reliability using structured prompts and context management.
Speech-Based Mood Detection
End-to-end pipeline from audio ingestion → speech-to-text → NLP → emotion classification. Implemented multi-class emotion detection using vocal patterns and textual features. Same core STT/NLP architecture later applied to production voice AI systems at Telezer Technologies.
Impact Metrics
3+
Personal Projects
2
Production Systems
<250ms
Voice Latency Target