sumantdeo

Designed and implemented core trading system modules using event-driven architecture to support high-frequency crypto trading workflows and improve execution reliability. Built a real-time portfolio and trade visibility system using WebSockets and indexing pipelines, enabling low-latency updates for asset positions and trade execution status. Architected a scalable reporting and analytics layer to support trading insights, risk visibility, and business decision-making across product and operations teams. Developed and optimized automated trading strategies across Solana and EVM ecosystems, improving transaction execution efficiency and system responsiveness under volatile market conditions. Optimized telemetry and observability pipelines using Datadog, reducing system latency by 30% and improving production monitoring for trading-critical services.

Improved reliability and performance of cloud infrastructure supporting internal financial-grade systems on AWS (EC2, S3, Lambda). Built automated testing and validation frameworks, increasing test coverage by ~40% and reducing production defects by 25% in critical backend services. Owned AWS infrastructure provisioning and deployment workflows for internal enterprise systems, ensuring operational stability and secure delivery pipelines. Streamlined data integration and processing pipelines, improving efficiency and reducing manual operational overhead across distributed systems.

Refactored backend architecture for high-throughput logistics systems, improving scalability and system reliability under production load. Implemented Kubernetes-based deployments, scaling systems for high-volume enterprise customers while maintaining system stability and reliability. Mentored junior engineers through pair programming and onboarding sessions, improving team productivity and knowledge sharing across the engineering group. Worked closely with product and engineering teams to align backend architecture with evolving system requirements.

Co-founded and built a backend platform for a marketplace-style system involving transactional workflows and cloud-based infrastructure. Designed scalable database architecture optimized for high read/write workloads, improving system efficiency and reducing response times by ~42%. Built backend services supporting core transactional flows and system reliability under production usage. Led technical decisions across system design, infrastructure, and backend development from MVP to production.

Built an NLP-based invoice processing system using Python and Flask, working closely with business stakeholders to define extraction and validation requirements. Developed scalable REST APIs for high-volume document processing, improving system throughput and reliability in production environments. Designed OCR-based automation system using Google Vision and Tesseract, improving operational efficiency by automating structured data extraction from documents.