

I am a highly skilled software engineer with several years of experience in designing, building, and scaling robust software solutions across full-stack environments. I specialize in Java, Node.js, Python, PHP, and React, with deep expertise in modern application architecture, RESTful APIs, MVC frameworks, and database management. I have a proven track record of leading technical initiatives and driving continuous improvement in system performance, development processes, and team workflows while delivering reliable, maintainable, and high-quality software. Comfortable taking ownership of complex projects, mentoring developers, and collaborating closely with cross-functional teams to translate business requirements into scalable technical solutions. Known for strong technical leadership, clear communication, and disciplined project execution, I thrive in fast-growing organizations where innovation, engineering excellence, and impact matter. Solving complex problems and leveraging technology to create competitive advantage and long-term value motivates me.
TrueScore – AI Prediction Platform (LLM-Driven Architecture):
Architected and developed a scalable AI-powered prediction platform that combines structured statistical analysis with large language model (LLM) reasoning to forecast football match outcomes.
Designed the end-to-end system architecture, including data ingestion pipelines, feature engineering layers, and an LLM-based inference engine. Implemented a prompt engineering framework that transforms structured match data (team form, goal differentials, head-to-head history, and standings) into context-rich inputs for Anthropic Claude, enabling high-quality, understandable predictions.
Engineered a resilient inference layer with streaming LLM integration, output validation, probabilistic normalization, and fallback strategies to ensure reliability, consistency, and fault tolerance in production environments.
Defined and implemented asynchronous, event-driven backend architecture using FastAPI, async PostgreSQL, and non-blocking I/O to support scalable, low-latency prediction delivery. Integrated caching strategies and scheduled workflows for automated data synchronization and continuous prediction generation.
Led the design of security and platform concerns, including JWT-based authentication, OAuth integration, and CI/CD pipelines (GitHub Actions → Render), ensuring a production-ready, maintainable, and extensible system.
This project demonstrates strong capability in AI system architecture, LLM integration, and designing scalable, fault-tolerant backend platforms that bridge data engineering and intelligent decision systems.
See: https://truescoreai.com
Automated Trading Engine — Insider Option:
Built a high-throughput automated trading platform using Spring WebFlux and R2DBC, handling the full trade lifecycle from order placement to scheduled settlement.
Core capabilities:
Reactive, non-blocking trade submission pipeline with multi-layer validation (balance checks, plan uniqueness, active trade limits)
Tech stack: Java 21, Spring Boot, Spring WebFlux, R2DBC, PostgreSQL, Flyway, Bucket4j, Caffeine, Lombok, Spring Security (JWT)
See: https://tradeoninsideroption.com