P

Parva Barot

Software Engineer

Tempe, Arizona, United States4 yrs 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Architected scalable microservices improving throughput by 32%.
  • Integrated ML models reducing incident response time by 28%.
  • Developed secure file transfer systems achieving 99% reliability.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in microservices and AI integration.

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Skills

Core Skills

Microservices ArchitectureCloud-native Architecture (aws)Secure Api DesignAi & Llm Production IntegrationPerformance OptimizationSecure File Transfer SystemsDistributed SystemsSoftware Infrastructure

Other Skills

JavaSpring BootFastAPIAWSMicroservicesREST APIsGraphQLOAuth 2.0JWTRBACMLPythonscikit-learnPostgreSQLDynamoDB

About

I engineer systems that perform under pressure scalable microservices, secure API ecosystems, and AI-powered platforms built for real-world production environments. With 4+ years of experience, my work centers on designing distributed systems using Java, Spring Boot, and FastAPI across AWS cloud infrastructure. I specialize in building high-throughput architectures that are secure, resilient, and optimized for performance at scale. At ServiceNow, I: ► Architected microservices in AWS (EC2, RDS, S3), improving system throughput by 32% ► Designed secure REST & GraphQL APIs with OAuth 2.0, JWT, and RBAC for multi-tenant environments ► Integrated ML-driven anomaly detection models, reducing incident response time by 28% ► Built LLM-powered Retrieval-Augmented Generation (RAG) pipelines, improving knowledge retrieval efficiency by 35% ► Optimized PostgreSQL and DynamoDB workloads for high-concurrency systems ► Deployed containerized services using Docker, Kubernetes, and CI/CD pipelines with zero-downtime releases Previously, I engineered secure file transfer systems in C#/.NET Core and C++, implementing AES-256 encryption, SHA-256 validation, delta synchronization, and fault-tolerant distributed architectures with 99% reliability. My strength lies in combining: • Distributed Systems Thinking • Cloud-Native Architecture (AWS) • AI & LLM Production Integration • Secure API Design • Performance Optimization We are entering a phase where software is no longer static it is intelligent, adaptive, and continuously evolving. The engineers who will define this era are those who can merge scalability with security, and intelligence with reliability. I build systems that do exactly that. Thoughtfully engineered. Responsibly deployed. Designed to scale.

Experience

4 yrs 2 mos
Total Experience
2 yrs 6 mos
Average Tenure
1 yr 8 mos
Current Experience

Servicenow

Software Engineer

Sep 2024Present · 1 yr 8 mos · Tempe, Arizona, United States · Hybrid

  • Architected and deployed scalable microservices using Java, Spring Boot, and FastAPI within a distributed AWS environment (EC2, RDS, S3), improving system throughput by 32% through optimized service orchestration and caching strategies.
  • Designed and secured RESTful and GraphQL APIs with OAuth 2.0, JWT, and RBAC, strengthening access governance and reducing unauthorized access risks across multi-tenant environments.
  • Integrated ML-driven anomaly detection models using Python and scikit-learn into backend services, enabling proactive issue identification and reducing incident response time by 28%.
  • Implemented Retrieval-Augmented Generation pipelines leveraging LLMs and vector search to enhance internal knowledge retrieval, improving support query resolution efficiency by 35%.
  • Optimized PostgreSQL and DynamoDB data models with advanced indexing and query tuning, significantly improving API response latency and supporting high-concurrency workloads.
  • Containerized services using Docker and orchestrated deployments via Kubernetes and GitHub Actions CI/CD pipelines, ensuring zero-downtime releases and improving deployment reliability by 25%.
JavaSpring BootFastAPIAWSMicroservicesREST APIs+14

Virtual infotech solution

Software Engineer

Jan 2021Jul 2023 · 2 yrs 6 mos · Ahmedabad, Gujarat, India · On-site

  • Developed a Secure File Transfer and Synchronization System using C#/.NET Core and C++, enabling encrypted, fault-tolerant data sharing across distributed nodes.
  • Implemented AES-256 encryption, SHA-256 integrity validation, and delta-based synchronization, reducing transfer time by 50% while ensuring enterprise-grade security and compliance.
  • Designed resumable uploads, concurrency control, and retry mechanisms with real-time telemetry logging, achieving 99% reliability and aligning with Azure Storage and OneDrive-style sync architectures.
  • Implemented ML-based predictive analytics models using Python and R for business insights, increasing forecasting accuracy by 22% through feature engineering and model validation techniques.
  • Developed a video streaming platform with React, Redux, and REST APIs, improving data speed by 20%.
  • Designed scalable, reusable UI components with React Hooks and enforced best practices in OOP for maintainability.
  • Integrated JWT authentication, pagination, caching, feature flags, rollback, and microservices-based deployment safeguards.
C#.NET CoreC++AES-256 EncryptionSHA-256 ValidationDelta Synchronization+8

Education

Arizona State University

Master of Science - MS — Information Technology Project Management

Aug 2023May 2025

PDPU

B.Tech — Computer Engineering

Jan 2019Jan 2023

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