--- title: "Aman Tyagi - Senior Software Engineer in Gurugram | Tal" description: "Meet Aman Tyagi, Senior Backend Engineer | Node.js, TypeScript, GraphQL, MongoDB | Distributed Systems & Production AI (RAG, AWS Bedrock, LangChain) based in Gurugram. AI stack includes claude code, codex, and langfuse. Explore public work links including amantyagi.me." image: "https://tal.club/meet/aman-tyagi/share-image" --- # Aman Tyagi on Tal ## Headline Senior Backend Engineer \| Node\.js, TypeScript, GraphQL, MongoDB \| Distributed Systems & Production AI \(RAG, AWS Bedrock, LangChain\) ## About I'm a backend engineer who builds the systems other teams build on — integration platforms, multi\-tenant analytics, async job pipelines, and production AI search\. At Delightree, a franchise\-operations SaaS platform, I own the integrations, AI\-search, and analytics subsystems across a GraphQL backend, an asynchronous operations service, and an AI analytics agent\. I care about correctness under multi\-tenancy, systems that degrade gracefully, and solving a problem once at the shared layer instead of N times downstream\. On the backend side, I designed a reusable integration platform on Paragon \(JWT auth brokering, a generic proxy client, a per\-provider module/queue/route convention\) that standardized five production integrations — HubSpot, QuickBooks, Zapier, Zenoti, and Read AI — with later providers reusing it unchanged\. I built a multi\-tenant location\-analytics platform in Node\.js and MongoDB with aggregation metric engines and time\-series stores, using cron\-driven per\-entity Bull queue fan\-out so one failing tenant can't take down the batch, feeding a validated pipeline into Google BigQuery\. I also built a support\-ticketing domain from scratch \(17 GraphQL APIs, role\-based permissions, MongoDB indexes\), migrated a deeply nested data model to a flat collection with single\-round\-trip $lookup aggregations, and shipped a scoped\-API\-key partner ingestion API with hosted OpenAPI docs\. Earlier, at Playo, I cut leaderboard read latency from 4\.5s to 50ms with tiered Redis caching and brought geospatial search under a second across 600K\+ venues\. On the AI side, I built a multi\-tenant conversational RAG engine over company SOPs using Weaviate hybrid search and AWS Bedrock \(Claude/Titan\), with session memory, rolling LLM summarization, citation\-grounding guards, and strict per\-tenant permission isolation across retrieval and storage\. I own the LangChain/LangGraph tool\-calling layer and instrument every query with Langfuse tracing and prompt management to monitor token cost, latency, and grounding behavior\. Core stack: Node\.js, TypeScript, GraphQL, MongoDB, Redis, Bull, AWS, BigQuery, Weaviate, and LangChain/LangGraph\. Open to senior backend, platform, and AI\-backend roles\. ## Location Gurugram ## AI stack claude code codex langfuse langgraph langsmith mcp ## Work experience Senior Software Engineer at Delightree, Apr 2026 \- Present · 6 mos, \- Architected a reusable third\-party integration platform on Paragon — RS256 JWT auth brokering, a generic proxy client, and a per\-provider module/queue/route convention — that standardized five production integrations \(HubSpot, QuickBooks, Zapier, Zenoti, Read AI\); later providers reused it unchanged\. \- Built a multi\-tenant conversational RAG engine over company SOPs using Weaviate hybrid search and AWS Bedrock \(Claude/Titan\), with session memory, rolling LLM summarization, citation\-grounding guards, and two\-layer per\-tenant permission isolation\. \- Developed the LangChain/LangGraph tool\-calling layer and instrumented every query with Langfuse tracing and prompt management to monitor token cost, latency, and grounding\-fallback behavior\. \- Designed and shipped an end\-to\-end Read AI meeting integration with rate\-limit\-aware incremental sync \(429 backoff, quota short\-circuit\) and SHA\-256 content hashing to protect human\-edited records\. Software Engineer at Delightree, Jul 2025 \- Mar 2026 · 9 mos, \- Engineered a multi\-tenant location\-analytics platform \(Node\.js/MongoDB aggregation engines \+ time\-series stores\) with cron\-driven per\-entity Bull queue fan\-out for failure isolation and a validated KPI pipeline into Google BigQuery\. \- Developed a support\-ticketing \(ITSM\) domain from scratch — 17 GraphQL APIs, six MongoDB collections, configurable taxonomies with default\-assignee routing, role\-based permissions, activity logs, and compound indexes\. \- Migrated a location\-launch task system from nested MongoDB documents to a flat collection, replacing two\-query reads with single\-round\-trip $lookup aggregations plus dependency\-based task unlocking and backfills\. \- Implemented a public partner ingestion API \(scoped API\-key auth, Zod validation, hashid\-obfuscated IDs, org\-hierarchy\-aware provisioning\) with hosted OpenAPI/ReDoc docs, and remediated a credential\-exposure flaw in third\-party log shipping\. Software Engineer at Playo, Sep 2024 \- Jun 2025 · 10 mos, Bengaluru, Karnataka, India, ⚡ Engineered a real\-time leaderboard system using a dense ranking algorithm and tiered Redis caching\. Reduced response time from 4\.5 seconds to just 50ms, directly enhancing user engagement during live tournaments\. Enabled multi\-dimensional filtering using MongoDB aggregation pipelines for dynamic views \(e\.g\., sport\-wise, friends\-only\)\. 🔁 Led a zero\-downtime migration of Playo’s in\-app chat to SendBird\. Handled real\-time API integrations and seamless user data transition, ensuring uninterrupted conversations for thousands of active users\. 📍 Enhanced search experience across 600,000\+ venues by integrating MongoDB Atlas Search with geospatial queries, cutting average query latency by 75%\. This significantly boosted app usability and session retention\. 📊 Launched a comprehensive user insight module to track lifecycle metrics like joining year, total games, and social connections\. Migrated and normalized data across 3 MongoDB collections within 50 minutes while ensuring zero data loss—powering new retention and loyalty features\. ⭐ Impact: Drastically improved performance, personalization, and data reliability across Playo’s core features, directly contributing to enhanced user engagement and retention\. Software Developer at Teal India, May 2023 \- Aug 2024 · 1 yr 4 mos, 📝 Developed an end\-to\-end automated legal reporting engine that generated 350\+ due diligence reports daily by parsing structured and unstructured legal data—cutting manual effort by 80% and revolutionizing legal ops\. 📡 Built real\-time analytics dashboards with WebSocket support, introducing sticky\-sessions for horizontal scaling—empowering teams with live, interactive insights across the application\. 📚 Created a custom PDF highlighter library with OCR and smart page navigation tailored for legal workflows, leading to a 3x faster document review process for analysts and lawyers\. 📈 Engineered interactive dashboard components using custom React hooks and D3\-style visualizations, boosting user interaction time by 25% and making data stories more intuitive\. ⭐ Impact: Accelerated legal operations and significantly elevated user experience through intelligent automation, scalable architecture, and real\-time systems\. Software Developer Intern at Teal India, Feb 2023 \- Apr 2023 · 3 mos, 🏗️ Re\-architected core backend modules, modularizing services and reducing compute latency by 50%\. Migrated key components to Next\.js SSR to improve performance and SEO for client\-facing tools\. DevOps Engineer at Recruit CRM, Oct 2022 \- Jan 2023 · 4 mos, New Jersey, United States, 🌐 Increased platform reach by 75% through implementation of NAT Gateway Elastic IP whitelisting, enabling recruiters in restricted regions to access cloud\-hosted services seamlessly\. 🛠️ Optimized system configurations to streamline network routing, contributing to more stable outbound communications and improved global access latency\. ⭐ Impact: Significantly improved platform accessibility and system performance, resulting in smoother international operations and reduced support overhead\. Back End Developer at Duckcart, Aug 2022 \- Sep 2022 · 2 mos, Noida, Uttar Pradesh, India, 🧱 Led backend development from the ground up, collaborating closely with cross\-functional teams to create a modular and high\-throughput system capable of scaling with increasing user demand\. 🔧 Advocated for engineering best practices and facilitated smoother developer onboarding by standardizing codebases and establishing documentation guidelines\. ⭐ Impact: Delivered a reliable, scalable backend infrastructure that served as the foundation for the company’s early growth and stability\. ## Education Bachelor of Technology \- BTech, Computer Science and Engineering, Dr\. A\.P\.J\. Abdul Kalam Technical University Intermediate, kendriya vidyalaya ## Public links - amantyagi\.me: https://amantyagi\.me/ [View the original profile](https://tal.club/meet/aman-tyagi) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/aman-tyagi#person", "name": "Aman Tyagi", "url": "https://tal.club/meet/aman-tyagi", "image": "https://tal.club/meet/aman-tyagi/profile-photo.jpg", "description": "Meet Aman Tyagi, Senior Backend Engineer | Node.js, TypeScript, GraphQL, MongoDB | Distributed Systems & Production AI (RAG, AWS Bedrock, LangChain) based in Gurugram. AI stack includes claude code, codex, and langfuse. 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