Kushagra Bansal

Node. js, Fastapi, Python, React Native, GCP, Supabase (Postgre SQL), Supermemory, Live Kit, Open Router, Vectors (Jan 2026

• Present)
• Building 0 to 1, Antler Backed early phase startup.
• Developed real time voice AI companion using Live Kit + streaming LLM responses (+ Text chat with SOcket. io)
• Built multi-agent LLM workflows with Open Router for matchmaking, voice interactions & real time text and voice AI chat
• Creating lang graph for complex orchestrations & researching on knowledge graphs to pivot from vector embeddings.
• Built long term memory pipelines using embeddings, Supermemory and Redis layers (for storing contexts), reduced response latency by 60% via caching and optimised retrieval, projected to improve session retention by 20–35%.
• Designed tool-calling workflows allowing agents to dynamically retrieve user preferences and match data, with potential to improve match relevance and match CTR by 35% and user retention by 15% with improved realtime voice chat response.
• Created orchestration loops using Temporal for multi-step agent workflows: match recommendations, evals, memory updates (user preference & persona), context analysis, image embedding generation etc, replacing ad-hoc queue/cron pipelines and reducing workflow failure recovery overhead, lowering operational costs by 25% through automatic retries & state persistence.
• Designed horizontally scalable AI system architecture (Redis caching, async workflow orchestration, streaming inference, and vector retrieval) to handle 150K+ projected monthly users in the second quarter of the year.
• Improved agent goal completion rates and session duration through optimized prompt chunking and dynamic context ingestion. Improved semantic retrieval efficiency by over 30% by compacting the vectors using Dimensionality Reduction.

Node. js, MongoDb, AWS, Lambda, Graph QL, REST, Stripe, Javascript, Docker, Redis (July 2024

• January 2026)
• Designed and developed a complete server-driven solution for Stripe terminal integration using AWS services like SAM, Lambda, and App Sync. Enabled POS payments on physical devices by using Graph QL APIs and AWS Cognito for secure authentication.
• Implemented webhooks to create a gateway for 3rd party services & Graph QL subscriptions to create a channel for publishing backend events that frontend can capture.
• Optimised codebase with AWS Lambda Layers, significantly reducing code repetition, did error handling for 250+ apis

nodejs, redis, elasticsearch, mongodb, aws, firebase, pm2, remote ssh tunneling, cassandra, mysql, caching (June 2023

• July 2024)
• Designed efficient architecture for, and implemented Instagram like stories feature with complete privacy management.
• Implemented Automatic User Ranking System similar to competitive games (Catered 30,000+ DAU).
• Poll system (Voting) with dynamic poll creation and realtime user engagement using Websockets.
• HLS Microservice for videos using EFS, Python, Redis, SQS and Custom Webhook.
• Delivered interest based videos, platform trending videos 1st iteration working model in just 3 days.
• Modularized recommendation config, populated in Redis to update settings with API, eliminating backend release
• Designed & implemented another video recommendation algorithm using Matrix Factorization.
• Reduced feed retrieval apis response times by 50% & reduced server operations by changing elasticsearch indexing for posts
• Optimised database performance by implementing lazy delete technique instead of realtime.
• Migrated cloud infra from AWS to GCP with Google SADA team. Automated data migration b/w Mongo DB, Elasticsearch, Redis. Developed Python scripts to automate complex tasks, streamlining processes & minimizing manual intervention.

React. js, Next. js, Vue. js, Nuxt. js, Redux, Tailwind CSS, Bootstrap, Graph QL, MUI, Type Script (May 2023

• June 2023)
• Edumim
• Built responsive we app UI elements with proper state management and animations like carousels, accordion, sidebar, navbar with parallax, testimonials, sitewide dark mode, rich text, etc.
• GSL & PE
• Combined Nuxt2 & Nuxt3 projects and aligned tailwind configs, modules & components for compatibility.
• WShipt & Xhibiter
• Combined Next12 & Next13 projects and aligned tailwind configs, modules & components for compatibility.

Native android, Java, RESTFUL APIs, Google volley, Picasso, Glide, Gson, SQLite, Visualization (April 2022

• October 2022)
• Built complete healthcare & ecommerce app with various health trackers, calculators, monitors, order tracking, coupons.
• SSO for Google, FB & phone number and email sign-in using JWT token auth, Razorpay and PayU payment gateways.
• Step tracker with real-time location with Google maps API, weight, sleep, period trackers, etc.