Great score on Implement LRU Cache Algorithm, Difficulty Medium
Great score on Understanding Rate Limiting in APIs, Difficulty Medium
Great score on Ensuring Real-time Data Accuracy in Mobile App, Difficulty Medium
Great score on Reverse Digits of a 32-bit Integer, Difficulty Easy
Great score on Word Search in Grid, Difficulty Medium
Great score on Validate Parentheses in a String, Difficulty Hard
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
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
Strengthened security with JWT/role-based authorization
Standardized validation, error handling, and API versioning
Led model training/fine-tuning initiatives
Automated repetitive tasks with AI agents and scripts
Built web scraping/crawling pipelines in Python
Hardened scrapers for reliability and data quality
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.

Bilal S. is associate Level Developer