Realtime AI Voice Agent
Designed and deployed an intelligent, low-latency voice agent capable of natural two-way conversation in real time using various technologies.
Bilal S. is a versatile Software Engineer and AI Engineer with hands-on experience building high-performance, production-grade systems across full-stack development, cloud platforms, and applied AI. He specializes in .NET (ASP.NET MVC/Web API), Angular, React, and Node.js, delivering scalable, clean-architecture applications backed by PostgreSQL, SQL Server, Redis, and event-driven patterns such as CQRS and MediatR. On the AI and automation side, he has designed and deployed real-time voice AI agents and RAG-based…
Designed and deployed an intelligent, low-latency voice agent capable of natural two-way conversation in real time using various technologies.
Built an ingestion pipeline that detects & extracts text/tables from PDFs with Textract, chunks/embeds content, and indexes to OpenSearch for retrieval.
Deployed a scalable RAG backend using Bedrock Knowledge Bases over Confluence/SharePoint dumps.
Loads a public URL, cleans & chunks content, embeds via Gemini, stores in Pinecone, and answers questions with source-grounded responses.
Interactive 3D avatar with GLB/GLTF clothing overlay, draggable camera, animations, and responsive UI.
Implemented conditional GANs for age progression/regression with identity preservation.
Persona-aware email drafts with tone/length controls, dynamic snippets from a prospect’s site, and deliverability checks.
Simulated beacon chain epochs, validator rewards/penalties and slashing rules; lightweight dashboard to visualize head/finality and staking performance on testnets.
LSTM next-word prediction trained on Shakespeare; Streamlit UI and a small Flask/uvicorn API for programmatic access.

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Bilal S. is a versatile Software Engineer and AI Engineer with hands-on experience building high-performance, production-grade systems across full-stack development, cloud platforms, and applied AI. He specializes in .NET (ASP.NET MVC/Web API), Angular, React, and Node.js, delivering scalable, clean-architecture applications backed by PostgreSQL, SQL Server, Redis, and event-driven patterns such as CQRS and MediatR. On the AI and automation side, he has designed and deployed real-time voice AI agents and RAG-based…
Designed and deployed an intelligent, low-latency voice agent capable of natural two-way conversation in real time using various technologies.
Built an ingestion pipeline that detects & extracts text/tables from PDFs with Textract, chunks/embeds content, and indexes to OpenSearch for retrieval.
Deployed a scalable RAG backend using Bedrock Knowledge Bases over Confluence/SharePoint dumps.
Loads a public URL, cleans & chunks content, embeds via Gemini, stores in Pinecone, and answers questions with source-grounded responses.
Interactive 3D avatar with GLB/GLTF clothing overlay, draggable camera, animations, and responsive UI.
Implemented conditional GANs for age progression/regression with identity preservation.
Persona-aware email drafts with tone/length controls, dynamic snippets from a prospect’s site, and deliverability checks.
Simulated beacon chain epochs, validator rewards/penalties and slashing rules; lightweight dashboard to visualize head/finality and staking performance on testnets.
LSTM next-word prediction trained on Shakespeare; Streamlit UI and a small Flask/uvicorn API for programmatic access.
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