Pravallika A

About Pravallika A

I’m a Full-Stack Software Engineer with 3+ years of experience building scalable, high-performance SaaS and FinTech applications across cloud-native and distributed environments. I specialize in developing end-to-end platforms using React, Next.js, TypeScript, Python, Java, Go, AWS, Docker, and Kubernetes, with a strong focus on system architecture, API design, and security best practices.Throughout my career, I’ve led the design and development of multi-tenant platforms, microservices ecosystems, and financial workflow automation solutions. I enjoy working at the intersection of engineering and business, translating complex operational and financial requirements into scalable, reliable, and user-focused applications. I’ve also mentored engineers, conducted code reviews, and driven performance optimization across distributed systems.My backend expertise includes building high-throughput services using FastAPI, Flask, Spring Boot, and Django REST, supported by databases such as PostgreSQL, MongoDB, and Redis. I’ve developed analytics dashboards and data-driven systems supporting financial reporting, trading workflows, and enterprise operational decision-making.Recently, I’ve been expanding my focus into AI-enabled application development, designing LLM-powered automation workflows, multi-agent orchestration systems, and data-driven research tooling that enhance business intelligence and user productivity.I’m passionate about building resilient, scalable systems and continuously learning emerging technologies that shape the future of software engineering, AI platforms, and financial technology.

Experience

1. Software Developer

   Elas

   Oct 2025 — Present · US

   Architected and delivered multi-tenant enterprise SaaS platform composed of 6+ Next.js applications backed by FastAPI and Go micro services, supporting finance, operations, sales, admin, onboarding and analytics workflows across hundreds of tenant organizations.• Designed shared React component framework reducing development time by ~40% and improving UI consistency and enabling faster onboarding of engineers.• Implemented scalable Stripe billing lifecycle supporting subscription automation, checkout workflows, webhook verification, trial handling, prorated upgrades/downgrades, and cancellation workflows, tightly integrated with frontend subscription management.• Established secure, scalable multi-tenant architecture with JWT authentication, role-based authorization, centralized error handling, and database-level tenant isolation following security best practices.• Led containerization and deployment strategy using Docker, Kubernetes, and CI/CD pipelines, improving release reliability, highavailability, fault tolerance, and horizontal scalability across distributed workloads.• Delivered analytics dashboards supporting financial reporting, forecasting, and operational decision workflows.• Architected multi-agent AI assistant (“Artie”) leveraging Anthropic Claude and OpenAI GPT models with LangGraph orchestration and LangChain pipelines to automate ERP onboarding, business configuration, and dashboard generation, enabling unified research and analytics workflows across enterprise financial systems.• Developed AI-driven document processing pipeline converting multi-format data into TypeScript/React analytical dashboards using Docling, vector search (pgvector), FastAPI services, Langfuse observability and S3 caching optimization.

Education

• University of Maryland Baltimore County

  Master of Science - MS, Systems Engineering

• National Institute of Technology Rourkela

  Master's degree, Mining and Mineral Engineering

  2019

• Mahatma Gandhi Institute of Technology

  Bachelor of Technology - BTech, Civil Engineering

  2017