AI Systems Architect
I design and deploy AI-powered revenue, calling, and automation infrastructure that replaces manual teams and scales businesses.
I build scalable AI infrastructure systems for revenue, communication, and automation. My work includes high-volume AI call centers handling 10,000+ calls per day, autonomous pre-sales systems, on-premise AI voice deployments, outreach automation engines, and AI-powered content generation systems. I focus on system architecture, scalable backend automation, LLM-driven workflows, voice AI infrastructure, revenue process automation, and open-source contribution & optimization.
Production-grade AI infrastructure systems designed for scale
Designed and deployed a scalable AI-powered outbound calling infrastructure capable of handling 10,000+ calls per day with intelligent conversation handling and automated lead qualification. Features high-volume outbound call orchestration, dynamic conversation flow handling, intelligent lead qualification, smart routing & data logging, and scalable backend workflow automation.
Impact:Replaced manual outbound teams and significantly reduced operational cost while maintaining high throughput.
Built an AI-driven pre-sales automation system that captures, qualifies, nurtures, and schedules leads without human SDR involvement. Includes real-time lead capture, automated qualification logic, follow-up sequencing, CRM integration, and appointment scheduling.
Impact:Reduced response time to near zero and improved qualification efficiency.
Developed an automated AI content pipeline that generates marketing scripts, voiceovers, and short-form video content at scale. Features AI script generation, automated voice synthesis, batch reel production workflows, and content pipeline automation.
Impact:Reduced content production time by 70–80%.
Deployed privacy-first AI voice agents directly on client infrastructure, enabling secure local processing without cloud dependency. Includes local server deployment, voice processing integration, LLM backend orchestration, and enterprise-grade control.
Impact:Enabled enterprise-level AI automation with full infrastructure control.
Built a conversational AI chatbot integrated with travel booking APIs for real-time availability checks, bookings, and automated confirmations. Features conversational booking logic, API integrations, workflow automation, and automated confirmations.
Impact:Reduced booking friction and automated support workload.
Customized and optimized open-source outreach systems for LinkedIn automation and cold outreach workflows. Includes open-source modification, workflow automation, personalization logic, and outreach scaling.
Impact:Improved personalization efficiency and automation reliability.
Developed a honeypot system designed to detect scam activity, collect malicious interaction data, and forward structured reports to government reporting channels. Features trap endpoint design, activity logging engine, structured evidence collection, and automated reporting pipeline.
Impact:Enabled scam tracking and structured evidence generation.
Contributing to open-source projects and improving automation infrastructure
Email automation workflows, bug identification, and system improvement suggestions
Details
Relevance:Strengthened understanding of large-scale email infrastructure and backend campaign orchestration
Bug reporting, feature refinement discussions, and system optimization feedback
Details
Relevance:Hands-on exposure to platform debugging and collaborative improvement processes
Customized internal workflows and optimized automation logic for outreach scaling
Details
Relevance:Practical experience adapting open-source systems for real-world automation needs
Independent AI Systems Developer
Amity University