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  • Nova Dynamic Media
  • Kathmandu, Nepal
  • 04:06 (UTC +05:45)

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HazeBigya/README.md
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Hi, I'm Bigya Tuladhar 👋

Building AI-powered, real-time products for live enterprise events

Portfolio LinkedIn Email


🧠 About

8+ years architecting full-stack systems. I specialize in production generative AI (RAG pipelines, agentic workflows, AI copilots), ultra-low-latency livestreaming, real-time interactive systems, and AWS cost optimization.

Currently building moderator and audience tools for large-scale live events at Nova Dynamic Media.

  • 🤖 Production RAG & agentic workflows on AWS Bedrock
  • ⚡ Real-time interaction at scale with AppSync + GraphQL
  • 🎥 Sub-second latency streaming with Amazon IVS
  • 💰 Cut AWS spend ~40% through pragmatic architecture
  • 🧰 Also comfortable across Python, PHP, Vue.js, and MongoDB/PostgreSQL
  • 📍 Based in Kathmandu, Nepal

🔨 Proof of Work

serverless-orchestration-blueprint — a production-grade, deployable reference for long-running, parallel, pollable job orchestration on AWS (Step Functions, Lambda, S3, DynamoDB). Extracted from the real event-streaming platform I run in production. Typed, tested, and solves the problems that actually bite: the 256KB state limit (S3 workspace-pointer pattern), API Gateway's 29s timeout, and bounded parallel fan-out with backpressure.

Most of my work lives in private client codebases — this repo is the pattern I extracted to show how I actually build.


🚀 What I Build

🤖 AI Agents & RAG

RAG pipelines on AWS Bedrock over vector knowledge bases — powering moderator copilots, live & post-event chatbots, livestream summarization, and an agentic workflow (generator → validator → reasoning model) for plain-language metric queries.

⚡ Real-Time Interaction

Live Q&A, polls, surveys & quizzes on AWS AppSync + GraphQL + DynamoDB, serving large concurrent audiences across 50+ productions.

🎥 Low-Latency Video

Amazon IVS real-time streaming over WebRTC and adaptive HLS delivery with token-based encryption — plus a cross-region Bedrock failover that cut AI throttling failures ~68% under peak load.

☁️ Cloud & Cost Optimization

Serverless architecture as code (AWS CDK), CI/CD with AWS CodeBuild, and ~40% cost reduction via right-sizing and capacity tuning.


🛠️ Tech Stack

AI & Machine Learning

AWS Bedrock RAG Agentic Workflows Vector DBs LLMs

Languages

TypeScript JavaScript Python Node.js PHP

Cloud & Serverless

AWS Lambda AppSync Step Functions DynamoDB S3 IVS CDK Athena

Frontend & Mobile

React Vue.js Next.js Flutter

DevOps & Databases

AWS CodeBuild Jenkins Docker PostgreSQL Redis MongoDB


💼 Selected Work

Project Description
serverless-orchestration-blueprint Open-source, deployable AWS orchestration pattern extracted from production
AI Moderator Copilot RAG system on AWS Bedrock generating, grouping & answering audience questions live
Mission Control Unified moderator dashboard for live interaction, moderation & reporting
Real-Time Backend Migrated live Q&A/polls/surveys from IoT Core/MQTT to AppSync + GraphQL for scale
Telemetry Pipeline Kinesis Firehose to S3 + Redis/Valkey for live stats, processed via Glue + Athena

Portfolio


Open to collaborations and senior Full-Stack / Cloud / AI roles

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  1. serverless-orchestration-blueprint serverless-orchestration-blueprint Public

    Production-grade serverless async job-orchestration on AWS Step Functions with an S3 workspace pointer pattern.

    TypeScript 1

  2. AI-Booking-Assistant AI-Booking-Assistant Public

    TypeScript 1

  3. Portfolio-V2 Portfolio-V2 Public

    TypeScript 1

  4. dsa-prep dsa-prep Public

    Python 1

  5. HIIT-Timer HIIT-Timer Public

    TypeScript

  6. exercise-tracker exercise-tracker Public

    TypeScript 1