M
Monish Reddy
About
Detail
United States
Résumé
Jobs
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Full Stack DeveloperDXC TechnologyJul 2025 - Current (1 year 4 months)• Built end-to-end digital wallet features using React, Fastify, and PostgreSQL, enabling 1M+ transactions/month while keeping p95 API latency under 200ms for core payment flows.
• Designed atomic wallet balance and P2P transfer workflows, applying transactional integrity and locking strategies to eliminate 100% of double-spend scenarios in distributed services.
• Integrated third-party banking, utility bill payments, and mobile top-ups, implementing retry, idempotency, and reconciliation logic to achieve a 99.95% transaction success rate.
• Optimized database schemas, indexing, and query execution plans, improving transaction read/write performance by 35% during peak usage.
• Implemented structured logging, metrics, and- Backend DeveloperHavicma LogisticsAug 2024 - Jan 2025 (6 months)• Re-architected the logistics tracking system from 60-second polling to a real-time WebSocket-based model, achieving
- Full Stack DeveloperMOURI TechJan 2020 - Jul 2023 (3 years 7 months)• Delivered end-to-end e-commerce features using React, Node.js, PostgreSQL, and Redis, supporting 15K+ concurrent users during high-traffic events such as flash sales and checkout peaks.
• Designed and implemented secure authentication and authorization flows (JWT, OAuth2, RBAC) for customer accounts and admin portals, eliminating unauthorized access and strengthening platform security.
• Optimized high-volume order and payment processing services, reducing database query latency by 37% and increasing overall API throughput by 46% during peak checkout loads.
• Implemented rate limiting, idempotent APIs, and fraud-detection hooks across checkout and payment workflows, reducing duplicate orders and inconsistent transaction eve
Education
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- Masters in Information SystemsSaint Louis UniversityAug 2023 - May 2025 (1 year 10 months)St Louis, MO, USA
Projects (professional or personal)
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- FFull-Stack Cloud Job Lens analyses Platform• Built an end-to-end analytics platform using Flask, MongoDB, and Redis to process and analyse 2,000+ job records.
• Engineered REST APIs and ETL pipelines, achieving 95% improved data accuracy and enabling real-time filtering of job trends and salary insights.
Awards
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- CCertificate of AchievementJan 2022
- SSpot AwardJan 2021