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Hi, I'm Zarana Nakrani, a Software Engineer and AI/ML Engineer based in New York with 4+ years of experience building scalable backend platforms, intelligent automation solutions, and production-grade Generative AI applications. I specialize in Python, FastAPI, distributed systems, cloud-native architectures, and LLM-powered RAG frameworks leveraging LangChain, LlamaIndex, OpenAI, and AWS services. I enjoy turning data-driven insights into robust systems that improve performance, accelerate decision-making, and reduce operational costs. Currently I architect AI-powered platforms at ServiceNow, optimize real-time data pipelines with Kafka and ETL frameworks, and lead deployment automation with CI/CD and IaC. I thrive in cross-functional teams to deliver high-impact solutions that scale enterprise workloads.…Hi, I'm Zarana Nakrani, a Software Engineer and AI/ML Engineer based in New York with 4+ years of experience building scalable backend platforms, intelligent automation solutions, and production-grade Generative AI applications. I specialize in Python, FastAPI, distributed systems, cloud-native architectures, and LLM-powered RAG frameworks leveraging LangChain, LlamaIndex, OpenAI, and AWS services. I enjoy turning data-driven insights into robust systems that improve performance, accelerate decision-making, and reduce operational costs. Currently I architect AI-powered platforms at ServiceNow, optimize real-time data pipelines with Kafka and ETL frameworks, and lead deployment automation with CI/CD and IaC. I thrive in cross-functional teams to deliver high-impact solutions that scale enterprise workloads.

Zarana Nakrani

Full Stack Developer, Back-End Developer, Web Developer, +4

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Hi, I'm Zarana Nakrani, a Software Engineer and AI/ML Engineer based in New York with 4+ years of experience building scalable backend platforms, intelligent automation solutions, and production-grade Generative AI applications. I specialize in Python, FastAPI, distributed systems, cloud-native architectures, and LLM-powered RAG frameworks leveraging LangChain, LlamaIndex, OpenAI, and AWS services. I enjoy turning data-driven insights into robust systems that improve performance, accelerate decision-making, and reduce operational costs. Currently I architect AI-powered platforms at ServiceNow, optimize real-time data pipelines with Kafka and ETL frameworks, and lead deployment automation with CI/CD and IaC. I thrive in cross-functional teams to deliver high-impact solutions that scale enterprise workloads.…Hi, I'm Zarana Nakrani, a Software Engineer and AI/ML Engineer based in New York with 4+ years of experience building scalable backend platforms, intelligent automation solutions, and production-grade Generative AI applications. I specialize in Python, FastAPI, distributed systems, cloud-native architectures, and LLM-powered RAG frameworks leveraging LangChain, LlamaIndex, OpenAI, and AWS services. I enjoy turning data-driven insights into robust systems that improve performance, accelerate decision-making, and reduce operational costs. Currently I architect AI-powered platforms at ServiceNow, optimize real-time data pipelines with Kafka and ETL frameworks, and lead deployment automation with CI/CD and IaC. I thrive in cross-functional teams to deliver high-impact solutions that scale enterprise workloads.

Available to hire

Hi, I’m Zarana Nakrani, a Software Engineer and AI/ML Engineer based in New York with 4+ years of experience building scalable backend platforms, intelligent automation solutions, and production-grade Generative AI applications. I specialize in Python, FastAPI, distributed systems, cloud-native architectures, and LLM-powered RAG frameworks leveraging LangChain, LlamaIndex, OpenAI, and AWS services. I enjoy turning data-driven insights into robust systems that improve performance, accelerate decision-making, and reduce operational costs.

Currently I architect AI-powered platforms at ServiceNow, optimize real-time data pipelines with Kafka and ETL frameworks, and lead deployment automation with CI/CD and IaC. I thrive in cross-functional teams to deliver high-impact solutions that scale enterprise workloads.

Skills

Experience Level

Expert

Expert

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Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineer at ServiceNow

November 1, 2024 - Present

Developed backend microservices in Python/FastAPI and Node.js/Express.js, improving API throughput and reducing transaction processing time from minutes to seconds for 120k+ monthly transactions. Optimized distributed event-driven pipelines leveraging Apache Kafka and Redis caching, improving real-time data processing throughput by 42% while lowering API latency by 30%. Deployed containerized services on AWS EKS with Docker and Jenkins-driven CI/CD automation, accelerating release cycles by 50% and cutting deployment failures by 60%. Built responsive internal dashboards using React and backend APIs for real-time incident response visibility and improving operational SLA adherence by 25%. Implemented observability and monitoring using centralized logging, metrics, and alerting tools. Developed and maintained Foundry data pipelines and contributed to application development within the platform, leveraging Python-based transforms and SQL logic to deliver clean, analysis-ready datasets.

Software Engineer at Infinite Infolab

November 1, 2020 - July 1, 2023

Developed full-stack applications using React.js, Node.js, and MongoDB to digitize client operations, increasing workflow efficiency by 35% across 10+ enterprise deployments. Automated infrastructure provisioning on AWS EC2, S3, and Lambda, decreasing environment setup time by 55% and improving scalability during peak loads. Strengthened application reliability by introducing Jest and Mocha-based unit and integration testing frameworks, reducing production defects by 40%. Spearheaded Stripe API integrations and secure payment workflows, driving 18% revenue growth through subscription management and checkout optimization. Orchestrated MQTT-based IoT data ingestion with Redis-backed caching layers, enhancing streaming data stability and reducing message loss by 32%. Implemented real-time ETL pipelines with Python, Airflow, and PostgreSQL, cutting data reconciliation time by 45% and enabling near real-time reporting.