AI Engineer

Open to full-time

Bio

Bilal S. is an AI Engineer with several years of experience in building high-performance, production-grade systems across full-stack development, cloud platforms, and applied AI. His core stack includes .NET (ASP.NET MVC/Web API), Angular, React, and Node.js, used to deliver scalable applications with clean architecture. He integrates PostgreSQL, SQL Server, and Redis, employing event-driven patterns like CQRS and MediatR. Bilal also utilizes OpenAI, Whisper, and AWS Bedrock for AI solutions, focusing on real-time interaction through WebRTC and Twilio, and ensures robust deployment with Docker and monitoring via OpenTelemetry and Grafana. At Greybeard – Halifax Fans, Bilal enhanced authentication systems for over 5,000 users and improved selector performance by up to 900%. He also automated CAD workflows and reduced database calls by 20%. At Oaks Street Technologies, he resolved 17 critical bugs in a week and implemented real-time capabilities using SignalR, strengthening security with JWT/role-based authorization. Bilal holds a BS in Computer Science from FAST NUCES. He is well-suited for roles that involve designing, deploying, and scaling intelligent software systems, particularly those requiring advanced AI integration and cloud-based solutions.

Expertise

Node.jsReactSQLPythonAngularAWSAzureJavaScriptTypeScriptFlaskFast APIGoC#BashHTMLCSSJavaC++Relational DatabaseDocument DatabaseMongoDBGitWeb ScrapingFigmaFramer

Video Intro

Assessments

General Project Assessment

(90/100)

Implement LRU Cache AlgorithmMedium
Understanding Rate Limiting in APIsMedium
Ensuring Real-time Data Accuracy in Mobile AppMedium

Projects

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.

AWS Legal Document Assistant

Built an ingestion pipeline that detects & extracts text/tables from PDFs with Textract, chunks/embeds content, and indexes to OpenSearch for retrieval.

Company Knowledge Copilot on AWS

Deployed a scalable RAG backend using Bedrock Knowledge Bases over Confluence/SharePoint dumps.

Chatbot for Any Website (RAG)

Loads a public URL, cleans & chunks content, embeds via Gemini, stores in Pinecone, and answers questions with source-grounded responses.

VR DressCheck (3D Try-On Frontend)

Interactive 3D avatar with GLB/GLTF clothing overlay, draggable camera, animations, and responsive UI.

Face Aging with cGANs

Implemented conditional GANs for age progression/regression with identity preservation.

Cold Email Generator (LLM)

Persona-aware email drafts with tone/length controls, dynamic snippets from a prospect’s site, and deliverability checks.

Ethereum 2.0 Validator Simulator & Dashboard

Simulated beacon chain epochs, validator rewards/penalties and slashing rules; lightweight dashboard to visualize head/finality and staking performance on testnets.

Deep Learning for Text Prediction

LSTM next-word prediction trained on Shakespeare; Streamlit UI and a small Flask/uvicorn API for programmatic access.

Experience

Software Engineer- AI Engineer
Greybeard – Halifax FansJun 2025 — Present
- Enhanced authentication by upgrading legacy login to Microsoft Entra (Azure AD)
- Implemented secure multi-tenancy and improved user access management for 5,000+ users
- Developed a Model Context Protocol (MCP) server backed by a relational database
- Automated complex CAD workflows using Autodesk Inventor
- Resolved race conditions and memory leaks across a large codebase
- Built a text Fan Assistant in Azure AI Foundry
- Designed a rule-based Configurator Engine
- improved selector performance with my team upto 900 percent
- added intelligent caching to reduce Database calls by 20 percent
.NET Framework 4 (MVC)Knockout.jsReactAI AzureCMSUmbracoSAP by design
Full-Stack Engineer
Oaks Street TechnologiesJun 2024 — May 2025
- Implemented and maintained a robust full-stack application using Angular, ASP.NET Web API, and PostgreSQL
- Resolved 17 critical bugs in one week
- Introduced real-time capabilities with SignalR
- Applied CQRS + MediatR with domain events
- Strengthened security with JWT/role-based authorization
- created a chatbot with vector database and RAG pipeline so that new customers can be comfortable with the app
- extended the chatbot in enwage to agentic capabilities so that it can perform operations just by getting natural language input
MVC.NETSQLAzure AIpineconevector databasenode JSreactlangchainlangGraphSignal RRabbitMQEntra multi tenant
Full-Stack Engineer
Oaks Street TechnologiesJun 2024 — May 2025
- Strengthened security with JWT/role-based authorization
- Standardized validation, error handling, and API versioning
AI Engineer Intern
AtomcampJan 2024 — Jun 2024
- Led model training/fine-tuning initiatives
- Automated repetitive tasks with AI agents and scripts
Data Miner
Ares ProjectOct 2020 — Feb 2022
- Built web scraping/crawling pipelines in Python
- Hardened scrapers for reliability and data quality
PythonScrapyBeautifulSoup