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Selected work focused on problem statements, datasets, models, results, and real-world impact.
Engineered a centralized enterprise system focusing on ACID compliance, secure role-based access, and optimized relational queries to solve data fragmentation.
Domain / Scale
Enterprise relational database schema
Core Architecture
Relational Architecture / Role-based Access
Challenge
Legacy hospital systems struggle with data fragmentation, leading to inefficient patient onboarding and scheduling conflicts.
Approach
Designed a secure architecture with strict transaction controls to prevent race conditions during appointment bookings.
Outcome
Created a reliable, robust backend ready for hospital scale.
Production Level-Up
Implement JWT-based OAuth2 and migrate the database to a managed cloud PostgreSQL instance.
Before
Fragmented spreadsheets and isolated records.
After
Centralized, secure, and instant patient data retrieval.
Trained and tuned a supervised machine learning model using clinical datasets to predict the onset of diabetes with high recall.
Domain / Scale
Clinical diagnostic records and patient vitals
Core Architecture
Random Forest / SVM
Architected a fully asynchronous API utilizing FastAPI to serve machine learning models and handle concurrent connections with low latency.
Domain / Scale
High-throughput JSON payloads
Core Architecture
Async / Event-loop Architecture
Built a regression-based machine learning pipeline that cleans historical time-series data and predicts future price trends.
Domain / Scale
Historical time-series market data
Core Architecture
Time-series Regression
Developed a multi-threaded process scheduler implementing advanced OS concepts to efficiently manage memory and CPU time.
Domain / Scale
Simulated process queues and CPU bursts
Core Architecture
Priority / Round-Robin Scheduling
Built a web-based platform calculating Zakat accurately based on asset types and connecting donors directly to verified recipients.
Domain / Scale
User financial inputs and charity records
Core Architecture
Calculation Engine
Designed a highly normalized relational database schema focusing on data integrity and complex query optimization.
Domain / Scale
Mock user profiles, contracts, and payments
Core Architecture
Entity-Relationship Model
Implemented a Natural Language Processing sequence-to-sequence model for accurate semantic translation.
Domain / Scale
Bilingual text corpora
Core Architecture
Transformer / Seq2Seq
Applied data science techniques to analyze productivity patterns and generate optimized, personalized study schedules.
Domain / Scale
Time-tracking and productivity scores
Core Architecture
Heuristic Optimization
Designed a modular Flask application following strict MVC patterns, ready to be deployed as an independent microservice.
Domain / Scale
REST API requests
Core Architecture
MVC Architecture
Built a memory-efficient CLI application using C++ to handle order processing, queuing, and billing with zero latency.
Domain / Scale
Real-time order inputs
Core Architecture
Data Structures (Queues, Hash Maps)
Developed a real-time grid application focusing on strict game loop timing, collision detection, and object-oriented programming.
Domain / Scale
Real-time state and coordinates
Core Architecture
State Machine / Game Loop