--- title: "Manav Arora - Software Engineer II in Delhi | Tal" description: "Meet Manav Arora, Backend Engineer | Distributed Systems • Microservices | High-Scale API Optimization | Multi-Region E-Commerce Integrations | AWS/Azure | AI/ML & RAG based in Delhi. AI stack includes antigravity and cursor. Explore public work links including github." image: "https://tal.club/meet/manav-arora/share-image" --- # Manav Arora on Tal ## Headline Backend Engineer \| Distributed Systems • Microservices \| High\-Scale API Optimization \| Multi\-Region E\-Commerce Integrations \| AWS/Azure \| AI/ML & RAG ## About Backend Engineer with 3\+ years architecting distributed systems and real\-time infrastructure\. Built production platforms processing 250K\+ records at 5\.5K rec/sec, optimized high\-traffic APIs serving 2M\+ daily requests with 82% latency reduction, and designed multi\-region transaction systems achieving zero downtime across 9 currencies\. ## Location Delhi ## AI stack antigravity cursor ## Work experience Software Engineer II at HashedIn by Deloitte, Aug 2024 \- Present · 2 yrs 1 mo, Bengaluru, Karnataka, India, Architected horizontally\-scalable WebSocket proxy using Python, FastAPI, and Redis pub/sub fanout handling 8K\+ concurrent connections at 50K msg/sec with P95 latency under 50ms and 87% cache hit ratio\. Implemented cloud\- agnostic factory pattern eliminating vendor lock\-in, saving $50K\+ in Azure costs\. Deployed across 7\+ teams with HPA\-based auto\-scaling at 99\.8% uptime\. • Resolved critical production Out\-of\-Memory crashes via heap dump analysis and memory profiling — traced root cause to unnecessary deep object copying in processing pipeline\. Implemented object pooling and reference\-based handling, achieving 70% memory footprint reduction and eliminating all OOM incidents across 5 dependent teams\. • Designed Backend\-for\-Frontend \(BFF\) system integrating WebSockets for real\-time updates and Kafka for reliable async message passing between microservices\. Reduced frontend integration complexity by 60% with a single consistent API layer enabling seamless multi\-service scaling\. • Built high\-throughput data simulator in Java with JEXL templating processing 250K\+ records in under 45s \(5\.5K rec/sec\) with dual\-mode architecture: streaming with backpressure and batch with JSON serialization\. Eliminated critical SAP/Highbyte dependencies for 5\+ teams\. • Integrated NVIDIA Cosmos 7B and VLM models for real\-time video analysis achieving 92% detection accuracy at 18 FPS with P95 inference latency of 210ms\. Implemented severity\-based event classification with automated alerting\. • Lead architecture reviews, technical design decisions, and conduct technical interviews\. Participated in AWS to Azure migration of a Node\.js microservices platform, gaining hands\-on depth across both cloud ecosystems\. Recognised with 4 performance awards in 18 months for the data simulator & OOM resolution, WebSocket proxy, and code quality contributions\. Backend Engineer at Anycover, Jun 2022 \- Jul 2024 · 2 yrs 2 mos, Remote, Optimized warranty widget API serving 2M\+ daily requests \(peak: 100 req/sec\) across 50\+ stores and 9 regions\. Reduced P95 latency from 4s to 700ms \(82% improvement\) via Cache\-Aside pattern with Redis \(75% hit ratio\), PostgreSQL query batching \(2\.5s → 300ms\), and async S3 processing\. Achieved 60% database load reduction at 99\.2% uptime\. • Built multi\-region transaction platform supporting 9 currencies across 3 timezones with ACID\-compliant transactions and real\-time forex integration \(P95 under 500ms\)\. Handled 50K daily transactions \(peak: 200/min\) with zero failures through location\-based routing and idempotent transaction design\. • Engineered 6 production\-grade e\-commerce connectors in Node\.js \(Shopee, Lazada, Shopify, WooCommerce, Magento, Wix\) with hybrid integration: webhooks for real\-time sync \(under 2min lag\), polling with exponential backoff \(95% retry success\), and SQS queues for offline merchants\. Averaged 1\.5 weeks per integration\. • Deployed production RAG system using FastAPI with pgvector and sentence\-transformers \(384\-dim, cosine similarity 0\.7 threshold\) achieving 78% precision@5 and P95 latency under 800ms, reducing manual support workload by 40%\. • Established CI/CD pipelines with GitHub Actions for multi\-region AWS deployments with Datadog APM monitoring\. Built automation suite including OCR invoice extraction and reconciliation dashboards, reducing financial close from 15 days to 3 days\. Jr Full Stack Developer at Anycover, Jun 2022 \- Apr 2023 · 11 mos Javascript Developer at HelloSivi Software Labs, Jan 2022 \- Feb 2022 · 2 mos, Remote, Enhancing System Performance and Scalability: Explored and implemented GraphQL systems, deploying backend on AWS to enhance performance and scalability by 30%\. Gained proficiency in containerization with Docker, improving development workflows and system reliability\. Full Stack Developer at Kredo Analytics Private Limited, Oct 2021 \- Apr 2022 · 7 mos, Remote, • Full Stack Development and Deployment: Worked on User Management System \(UMS\) and created Purchase Operations Sales Operations \(POSO\) using Python FastAPI and ReactJS, implemented role\-based authorization for security, and leveraged Docker for streamlined deployment and improved workflow\. Head Of Technical Operations at The Placement Cell, Keshav Mahavidyalaya, Jun 2021 \- Jun 2022 · 1 yr 1 mo, India Placement Coordinator at The Placement Cell, Keshav Mahavidyalaya, Jan 2020 \- Jun 2021 · 1 yr 6 mos, New Delhi Area, India ## Education Bachelor of Science \- BS, Computer Science, Keshav Mahavidyalaya \- Delhi University Certificate, Data Analysis for Business, Shaheed sukhdev college of business studies ## Public links - github: https://github\.com/manav\-1 [View the original profile](https://tal.club/meet/manav-arora) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/manav-arora#person", "name": "Manav Arora", "url": "https://tal.club/meet/manav-arora", "image": "https://tal.club/meet/manav-arora/profile-photo.jpg", "description": "Meet Manav Arora, Backend Engineer | Distributed Systems • Microservices | High-Scale API Optimization | Multi-Region E-Commerce Integrations | AWS/Azure | AI/ML & RAG based in Delhi. 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