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I am a software engineer with 3+ years of experience in full-stack development, microservices, and cloud-native architectures. I design high-performance, real-time financial and AI-driven platforms using Python, React, and Angular, building scalable APIs, AI/ML pipelines, and interactive dashboards. I collaborate with cross-functional teams to deliver solutions that improve efficiency, compliance, and system reliability. I am skilled in AWS, Azure, Docker, Kubernetes, and CI/CD automation, and I strive to ensure robust observability, security, and governance in production systems while delivering value to customers.…I am a software engineer with 3+ years of experience in full-stack development, microservices, and cloud-native architectures. I design high-performance, real-time financial and AI-driven platforms using Python, React, and Angular, building scalable APIs, AI/ML pipelines, and interactive dashboards. I collaborate with cross-functional teams to deliver solutions that improve efficiency, compliance, and system reliability. I am skilled in AWS, Azure, Docker, Kubernetes, and CI/CD automation, and I strive to ensure robust observability, security, and governance in production systems while delivering value to customers.

Vraj Nileshkumar Patel

Full Stack Developer, Web Developer, Front-End Developer, +2

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I am a software engineer with 3+ years of experience in full-stack development, microservices, and cloud-native architectures. I design high-performance, real-time financial and AI-driven platforms using Python, React, and Angular, building scalable APIs, AI/ML pipelines, and interactive dashboards. I collaborate with cross-functional teams to deliver solutions that improve efficiency, compliance, and system reliability. I am skilled in AWS, Azure, Docker, Kubernetes, and CI/CD automation, and I strive to ensure robust observability, security, and governance in production systems while delivering value to customers.…I am a software engineer with 3+ years of experience in full-stack development, microservices, and cloud-native architectures. I design high-performance, real-time financial and AI-driven platforms using Python, React, and Angular, building scalable APIs, AI/ML pipelines, and interactive dashboards. I collaborate with cross-functional teams to deliver solutions that improve efficiency, compliance, and system reliability. I am skilled in AWS, Azure, Docker, Kubernetes, and CI/CD automation, and I strive to ensure robust observability, security, and governance in production systems while delivering value to customers.

Available to hire

I am a software engineer with 3+ years of experience in full-stack development, microservices, and cloud-native architectures. I design high-performance, real-time financial and AI-driven platforms using Python, React, and Angular, building scalable APIs, AI/ML pipelines, and interactive dashboards. I collaborate with cross-functional teams to deliver solutions that improve efficiency, compliance, and system reliability.

I am skilled in AWS, Azure, Docker, Kubernetes, and CI/CD automation, and I strive to ensure robust observability, security, and governance in production systems while delivering value to customers.

Skills

Experience Level

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Work Experience

Software Engineer at AQR Capital Management

July 1, 2025 - Present

Supported the development of an AI-powered trade signal processing platform using Python, FastAPI, Apache Flink, and AWS Kinesis for real-time data streaming, processing market data and predictive signals, increasing trade signal accuracy by 18% and reducing latency by 22%. Implemented real-time risk monitoring microservices with Python, Redis, and gRPC, delivering live exposure, liquidity, and stress-test metrics, improving risk assessment speed by 30% and reducing reporting latency by 25% for portfolio managers. Designed modular RESTful and gRPC APIs enabling automated portfolio simulations, strategy analysis, and integration with trading systems, increasing internal tool usage by 40%. Developed interactive dashboards with React, D3.js, and TimescaleDB, improving portfolio monitoring efficiency by 35% and reducing manual data queries by 50%. Maintained ML workflow pipelines for backtesting, validation, and evaluation using Python, PyTest, MLflow, Docker, and AWS SageMaker, improving

Software Engineer at S&P Global

January 1, 2022 - July 1, 2024

Architected the Real-Time Market Analytics platform, developing Python-based microservices for large-scale event processing, collaborating with product and design teams, gathering requirements, and ensuring low-latency, reliable financial data ingestion and analytics across global markets. Engineered asynchronous services for Trade Event Processing, integrating Redis, Azure Cache, and connection pooling, optimizing microservice communication, reducing API latency by 15%, and enabling high-throughput, event-driven processing for millions of concurrent financial transactions. Designed fault-tolerant microservices with circuit breakers, service discovery, and load balancing for the Investor-Portfolio Engagement project, integrating backend WebSocket support, ensuring 50K+ concurrent event handling, improving platform scalability and resilience by 12%. Implemented secure database solutions for Market Data and Portfolio Management, optimizing PostgreSQL schemas, indexing, query tuning, enfo