Rohan V

• Engineered and scaled Python microservices for the Sonar API, enabling millions of low-latency, citation-rich queries daily, boosting enterprise adoption by 45% across finance, IT, and enterprise apps. • Delivered Sonar Pro tier with extended context windows and JSON outputs, directly driving a 35% increase in enterprise developer adoption and unlocking 25% new B2B revenue growth from API subscriptions. • Reduced response latency by 40% through real-time streaming (SSE/WebSockets), enhancing user experience and strengthening Perplexity’s competitive edge in generative AI search. • Built backend APIs using Python (FastAPI/Flask), orchestrating AI pipelines with Docker, Kubernetes (EKS), and AWS Lambda for serverless triggers, improving system scalability by 40% and cutting infrastructure costs by 20%. • Integrated retrieval-augmented generation (RAG) with ElasticSearch + Pinecone for semantic search, and implemented Python ETL jobs with Airflow/Pandas for ingesting finance & IT data, boosting retrieval accuracy by 35% and reducing data pipeline latency by 25%. • Implemented Stripe/Braintree billing APIs in Python microservices to support subscription models, agentic payments, and enterprise consumption-based billing. • Developed and tested Python ad-matching microservices for contextual advertising, integrating RTB systems, optimizing campaigns with ML-driven ranking, and applying Pytest validation for reliability. • Enhanced media pipelines by delivering dynamic assets like finance charts and shopping carousels via AWS CloudFront CDN, using OpenCV/Pillow preprocessing and ETL automation for compliance. • Built personalization services with PyTorch/TensorFlow, leveraging embeddings stored in Redis/DynamoDB to rank answers and tailor user experiences. • Collaborated with frontend engineers using Next.js + React (TypeScript) to deliver developer dashboards, billing UIs, and real-time answer streaming components integrated with Python backends.

• Spearheaded AI-driven merchant tools (Sidekick & Magic) automating content creation, boosting productivity and driving a 35% adoption uplift across Shopify’s 2M+ global merchants. • Engineered real-time LLM orchestration pipelines in Python that reduced response latency to under 300ms, enabling conversational AI experiences that increased merchant engagement by 40% in pilot cohorts. • Built scalable AI media/content workflows with payments and AdTech APIs (Meta, Google), driving 28% revenue growth and improving ad attribution accuracy for thousands of merchants. • Developed Python FastAPI/Django REST microservices on Google Cloud GKE and AWS EKS, powering AI inference endpoints that reduced latency by 32% and enhanced Shopify merchant dashboards. • Implemented streaming AI pipelines using Apache Beam (Python SDK) + Google Cloud Dataflow to process 200M+ embeddings daily, powering personalization and semantic search across merchant stores. • Designed asynchronous media pipelines with Celery, Redis, FFmpeg, and PySpark ETL workflows, enabling scalable, lowlatency processing of AI-generated product images and dynamic preview videos. • Integrated Shopify Payments APIs and external AdTech APIs into backend services, building secure attribution layers and ETL data flows connecting AI campaigns with real-time analytics. • Built real-time data delivery architecture using GraphQL subscriptions, WebSockets, and gRPC, streaming Sidekick AI responses and Magic media previews directly into React-based admin dashboards. • Delivered frontend integrations in React.js + TypeScript (Polaris design system), embedding AI-powered side panels, chat UIs, and Magic toolbars within Shopify’s merchant admin for seamless UX.

• Developed real-time Python microservices that processed 3M+ IoT events/sec from 18K+ BPCL outlets, increasing equipment uptime by 30%, enhancing operational safety by 25%, and optimizing fuel distribution efficiency across India. • Analyzed IoT sensor data streams and supported deployment of AI-driven predictive maintenance models, reducing downtime by 25% and delivering proactive alerts to 100K+ employees. • Assisted in building and deploying secure cloud-native payment and personalization APIs on AWS/Azure, enabling UPI integration and loyalty offers that boosted customer engagement by 20%. • Developed backend services with Python (FastAPI, Flask), Kafka, Redis, PostgreSQL, and AWS Lambda, using Terraform IaC for secure, compliant, high-throughput data ingestion and analytics. • Supported AI/ML pipelines using TensorFlow, PyTorch, MLflow, and Pandas/Dask, deploying models on AWS with SageMaker/EKS and ensuring audit-compliant monitoring aligned with financial governance and regulatory standards. • Developed interactive dashboards and portals with React.js, Redux, WebSockets, and D3.js, enabling real-time visibility of distribution, safety alerts, and personalization insights. • Assisted in automating deployments with Docker, Kubernetes (EKS/AKS), Terraform, and Azure DevOps pipelines, ensuring high availability and CI/CD efficiency on AWS.