Our engineering team led the backend and cloud architecture for a mission-critical B2B SaaS logistics platform operating in Melbourne, Australia. The platform unifies end-to-end supply chain operations, including Business Operations, Asset Lifecycle Management, CRM, Workforce Management, Site Induction, and Warehouse Traceability.
We designed an asynchronous, event-driven microservices architecture capable of ingesting and orchestrating high-concurrency shipment events with strict data integrity and real-time visibility across freight networks.
Java (Spring Boot), Python (FastAPI), AWS ECS, SQS, SNS, Redis Caching, PostgreSQL, Docker, Microservices, Domain-Driven Design (DDD).
• ~40% latency reduction in real-time tracking APIs achieved through optimized Redis caching.
• High-concurrency event ingestion decoupled via AWS SQS and SNS queues ensuring zero data loss.
• Strict enterprise multi-tenancy safeguarding isolation across business units, contractors, and carriers.
• Real-time workforce compliance and induction verification protecting site safety.
Our architecture and senior engineering team spearheaded the cloud migration and modernization for a Fortune 5 healthcare and financial transaction leader in the United States. We dismantled a massive, mission-critical monolithic transaction engine originally written in C/C++ and rebuilt it into a resilient microservices ecosystem in Java (Spring Boot) and Python, securing the processing of billions of dollars in daily transactions.
To eliminate developer bottlenecks, we pioneered the integration of Generative AI (LLMs) into the core engineering lifecycle, creating autonomous tools that triage defects and investigate production anomalies in record time.
Java 17/21, Spring Boot, Python, C/C++ (Legacy Analysis), Azure Cloud (Functions, Service Bus, Hyperscale), PostgreSQL, H2 In-Memory, Claude LLMs, SonarQube, Jira/Rally Automation.
• Autonomous Root Cause Analysis (RCA) tool with Claude LLMs comparing legacy C vs modern Java logic, slashing defect triage from 2+ hours to under 10 minutes.
• Local simulation strategy (Spring Boot + H2) bypassing external cloud infrastructure downtime, guaranteeing uninterrupted CI/CD flows.
• 100% success rate stabilizing 300+ concurrent financial validation rules across client test environments (TST/SIT).
• Successful zero-defect migration of multi-billion dollar financial allocation engines.
Our team led the technical audit, vendor offboarding, and stabilization of an international medical and surgical platform operating across thousands of partner healthcare centers in the United States, Latin America, India, and China. We reclaimed technical sovereignty over a 4-year legacy codebase, eradicated critical technical debt, and modernized the platform for global scale.
We engineered strict sovereign cloud architectures to satisfy stringent international data protection laws (HIPAA in the US and PIPL in China), and integrated enterprise-grade Computer Vision AI for surgical quality assurance.
Java 21, Spring Boot 3.5, Angular 21, AWS (Fargate, ECS, Aurora PostgreSQL, Step Functions, Rekognition, SageMaker, Bedrock), Terraform IaC, Redis, Snowflake, Datadog, BFF Security Pattern.
• Serverless AI pipeline scanning 6M+ surgical images for biometric cross-matching and automated fraud detection.
• Multi-region sovereign cloud topology (us-east-1 and cn-north-1) bypassing the Great Firewall with localized Nginx and automated PII anonymization.
• Cryptographic optimization via Lazy Upgrade Interceptors, relieving Tomcat thread pools and dramatically cutting AWS Fargate compute costs.
• BFF security architecture with HttpOnly encrypted cookies and Redis, completely shielding user JWT tokens from browser XSS exploits.
We architected and developed Kramer WMS, an enterprise-grade multi-tenant Warehouse Management System featuring a unified SaaS Control Center. The platform allows instant provisioning and isolated schema management for enterprise clients, managing SKUs, purchase orders, lots, and cross-warehouse inventory workflows.
Vite, React SPA, Spring Boot, PostgreSQL (Isolated Schema Multi-Tenancy), Docker, AWS RDS, RESTful APIs, High-Concurrency Queueing.
• Zero risk of cross-tenant data leaks through PostgreSQL isolated schemas.
• Automated tenant onboarding in seconds via central SaaS Control Center.
• High-speed inventory lookups with sub-millisecond database response times.
• Intuitive warehouse floor UI optimized for barcode and RFID scanning devices.
We engineered a real-time agricultural and livestock supply chain traceability platform connecting producers, processors, and national retailers across the United States and Latin America. The platform provides live geographic device tracking, pen usage monitoring, and batch-level consumer transparency.
Python, AWS (Lambda, DynamoDB, S3), Leaflet & OpenStreetMap, React, Node.js, Event Logging.
• Live interactive map tracking across multi-state supply chain transit routes.
• Real-time verification of organic, sustainable, and animal welfare certifications.
• Interactive consumer portal allowing end-customers to scan QR codes and trace product origin to the farm.
We developed a sophisticated AI chatbot system for a retail client that dramatically improved customer service efficiency. The chatbot was integrated with their existing systems to provide seamless product information, order tracking, and personalized recommendations.
Python, TensorFlow, Natural Language Processing, API Integration, Cloud Deployment
50% reduction in customer service response time
30% increase in customer satisfaction scores
24/7 availability for customer inquiries
Seamless handover to human agents when needed
We revolutionized software development processes for several companies by integrating AI-driven workflows and MCP (Model Context Protocol). Our approach enabled rapid delivery of frontend, backend, and automated QA. We leveraged AI for code generation, automated test creation, CI/CD orchestration, and intelligent documentation, resulting in faster MVPs, fewer bugs, and continuous delivery.
MCP, GPT-4, Cypress, React, Flask, GitHub Actions, Docker, Selenium, AI Documentation Tools
60% reduction in development time
3x faster MVP delivery
80% automation in test coverage
Weekly releases instead of quarterly
Automated documentation and deployment
Improved code quality and team productivity
We designed and implemented an AI-powered trading platform that uses machine learning to analyze market trends and execute trades. The system includes risk management protocols and connects to multiple exchanges through secure APIs.
Python, TensorFlow, Time Series Analysis, API Integration, Security Protocols
Consistent performance across varying market conditions
Real-time market analysis and trade execution
Custom strategies implementation capability
Advanced security measures for financial transactions
We developed a comprehensive WhatsApp Business API integration for a food delivery service that allowed automated order updates, customer support, and personalized marketing messages through the world's most popular messaging platform.
WhatsApp Business API, Node.js, Webhook Integration, Database Management, CRM Systems
85% open rate for marketing messages
60% increase in customer retention
Automated updates sent to 100% of customers
Reduced customer support costs by 40%
We created an advanced OCR and computer vision system for inventory expenses management platform that can scan grocery receipts and automatically extract product names, prices, and nutritional information, significantly streamlining the process of tracking food expenses and inventory.
Python, TensorFlow, OpenCV, OCR Technologies, Cloud Processing
98% accuracy in receipt data extraction
90% reduction in manual data entry
Seamless integration with food management database
Real-time nutritional analysis and alerting
We designed and developed a cross-platform mobile application for expenses management that allows users to scan product barcodes, manage grocery inventories, and receive personalized recommendations based on dietary preferences and purchase history.
React Native, AWS Amplify, DynamoDB, GraphQL, Firebase Authentication
45% increase in user engagement
4.8/5 star rating on app stores
25,000+ downloads in first month
70% reduction in food waste reported by users
We developed a seamless integration between expenses management platform and major e-commerce grocery platforms, enabling users to create shopping lists based on their inventory needs and automatically place orders with their preferred stores.
AWS Lambda, API Gateway, DynamoDB Streams, Node.js, Python
Integration with 5 major grocery platforms
65% of users adopting automatic shopping list feature
20% average savings on grocery expenses
Seamless order placement from within the app
We developed a browser extension that helps users learn English while they browse the web. The extension uses AI to identify key vocabulary on web pages, provides contextual translations, and creates personalized quizzes based on the user's browsing history and learning progress.
JavaScript, Chrome Extension API, Natural Language Processing, React, Firebase
10,000+ active daily users
4.8/5 star rating in Chrome Web Store
85% of users reported vocabulary improvement
2x faster learning rate compared to traditional methods
We developed an automated system that extracts purchase history and product information from major retailer websites. The solution uses web scraping techniques to gather data from user accounts, process transaction details, and integrate the information into our expenses management platform for comprehensive analysis.
Python, Selenium, Beautiful Soup, AWS Lambda, DynamoDB, Serverless
Integration with 8 major retailers
100% automation of purchase data collection
95% accuracy in product information extraction
40% reduction in time spent on expense tracking
We created an intelligent automated trading bot for IQOption that executes trades based on custom algorithms and technical analysis. The bot incorporates advanced risk management strategies, backtesting capabilities, and real-time market data analysis to make informed trading decisions.
Python, IQOption API, TensorFlow, Pandas, NumPy, Matplotlib
68% average win rate over 6 months
24/7 automated trading operations
Custom strategy implementation capability
Real-time performance analytics dashboard
We developed a comprehensive supply chain traceability system implementing GS1 standards for a food manufacturing client. The solution enables end-to-end tracking of products from raw materials to retail shelves, ensuring regulatory compliance and providing full transparency to consumers.
AWS, Hyperledger Fabric, Node.js, GS1 EPCIS, RFID, QR Code Integration
100% compliance with FDA traceability regulations
92% reduction in recall response time
Enhanced consumer confidence with QR-based product history
Serialized tracking of 10,000+ SKUs
We developed an automated system that monitors trading signal channels on Telegram, extracts signal data using natural language processing, and automatically executes trades on IQOption platform. The system includes customizable risk management parameters, real-time performance tracking, and multi-account support.
Python, Telethon, IQOption API, NLP, MongoDB, Docker
Zero-latency signal execution
Support for 5 different signal formats
Multi-account portfolio management
Improved signal win rate through selective execution
We designed and developed the multilingual Softandino corporate website featuring a comprehensive portfolio of AI and software development projects. The site includes interactive case studies, dynamic content loading, and seamless language switching between English and Spanish.
HTML5, CSS3, JavaScript, Bootstrap, jQuery, i18n, GSAP Animation
Fully responsive across all devices
100/100 Google PageSpeed score
Seamless multilingual experience
Interactive project portfolio with case studies
We developed a cost-effective AI video generation platform that converts text descriptions into professional-quality videos by intelligently selecting and combining clips from a curated video library. The system analyzes text content, identifies key themes, and creates coherent videos with appropriate transitions and visual storytelling.
Python, FFmpeg, TensorFlow, NLTK, AWS S3, Media Processing Pipeline
90% cost reduction compared to traditional video production
Generate a 2-minute video in under 5 minutes
Library of 50,000+ categorized video clips
Seamless audio-visual synchronization
We created a platform that generates and manages AI-powered virtual Instagram influencers. The system uses generative AI to create unique virtual personas, plan content calendars, generate posts with appropriate trending hashtags, and manage engagement with followers through intelligent responses.
Python, Stable Diffusion, GPT-4, Instagram API, Content Planning System
Created 5 virtual influencers with 10k+ followers each
3x higher engagement rate than human influencers
100% automated content creation pipeline
Successful brand partnership campaigns
