Bhagyesh Radiya-Team Lead (AI & Backend Engineering)
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Experience
Team Lead (AI & Backend Engineering)
7span
- Led the design of a multi-agent AI fitness platform with 3 agent personas (nutrition, supplement, coaching), each with dynamic tool composition, user-context-aware prompts, and Supabase Edge Function-based structured retrieval from PostgreSQL.
- Implemented OpenTelemetry distributed tracing with Langfuse for LLM observability tracking token usage, session-level analytics, and AI evaluation metrics (human-in-the-loop + LLM-as-judge) to continuously improve recommendation accuracy.
- Assessed the feasibility of RAG vs structured retrieval approaches, balancing response quality with cost efficiency for production usage.
- Optimized prompts and workflows to support multiple LLMs (e.g., GPT-4, mini, Sonnet), enabling flexible model selection based on cost and performance.
- Guided the team in adopting the Vercel AI SDK, standardizing agent implementation, and accelerating development and iteration cycles.
- Defined and drove AI and backend engineering standards, institutionalizing AI-assisted development workflows (Cursor, Claude Code) that reduced feature delivery time by ~60% and improved code quality.
- Architected and led backend development of a workspace collaboration platform on Supabase PostgreSQL with a full RBAC system (3 roles, 32 permission functions, RLS across 25 tables), 24 triggers for cascading business logic (group membership propagation, notification generation, archival cascading), real-time messaging via Pusher, and 50+ documented API operations.
- Led backend development for a multi-platform memory preservation product using AWS Amplify, AppSync (GraphQL), Cognito, S3, CloudFront, and Lambda supporting real-time GraphQL subscriptions, Stripe payments, and print-on-demand fulfillment via third-party API integration.
- Built backend for a dating platform handling real-time chat (Socket.IO + Redis), AWS Rekognition-based profile photo verification, Twilio OTP authentication, Square/Stripe payment processing, and geolocation-based discovery with MongoDB 2DSphere indexing.
- Managed and mentored a 6-member engineering team (2 senior, 4 junior), establishing coding standards, PR reviews, and architectural guidelines to improve maintainability and reduce production issues.
- Drove adoption of no-code and low-code platforms (Supabase, Directus, Strapi) to accelerate delivery by 50% of client-facing products, including a Notion-like property and investor management system.
- Owned end-to-end delivery across 10+ projects, translating business requirements into scalable backend and AI-driven solutions in collaboration with clients and cross-functional stakeholders.
- Acted as the primary technical point of contact for clients, resolving complex architectural and AI-related challenges while ensuring predictable delivery using Agile methodologies.
Senior Software Engineer (Cloud & Backend) - ERS
HCL Technologies
- Migrated AWS workloads (Lambda, SQS, Kinesis, Cognito, SES, S3) to Azure (Functions, Service Bus, Event Hub, AD B2C, SendGrid, Blob), refactoring 30+ functions.
- Improved API performance using Redis-based caching and Lua scripts across 10+ repositories, and implemented environment-aware logging for better observability.
- Configured Azure AD B2C for multi-platform auth and built IoT-enabled kitchen ecosystem services connecting smart devices, web apps, and users.
Senior Backend Engineer
Zymr Systems
- Built and maintained 100+ AWS Lambda–based microservices using Node.js, TypeScript, and DynamoDB, following test-driven development (TDD) practices with Jest and Supertest, and consistently maintaining ~90% automated test coverage to ensure reliable and safe deployments.
- Designed event-driven microservice architectures on Azure using Function Apps, Cosmos DB (Mongo API), Service Bus, Event Hub, and Knex-based migrations, supporting high-throughput invoice and purchase order processing of 100,000+ transactions per hour.
- Developed cloud-based notification and workflow systems using AWS SNS/SQS, Firebase, and Azure Logic Apps to handle high-volume, asynchronous event processing.
- Led ESOP and internal tooling backend initiatives, building scalable services with Express.js, MySQL, Jenkins, Java Spring Boot, and Google services, and created an NPM starter package with standardized AWS and Azure presets to accelerate backend service development.
- Engineered and maintained robust RESTful APIs enabling seamless integration across distributed microservices, improving overall system reliability, scalability, and cross-cloud interoperability on AWS and Azure.
Industry Experience
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Experienced in Information Technology and Professional Services.
Business Area Experience
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Experienced in Information Technology and Product Development.
Summary
Team Lead / Senior Backend Engineer with 7+ years building distributed systems across Node.js, TypeScript, AWS, and Azure. Architected and delivered 10+ production backends from serverless Lambda/API Gateway microservices and ECS-deployed containers to real-time TCP audio streaming pipelines across 13 AWS regions. Led AI agent development using LLM tool-calling, OpenAI APIs, Vercel AI SDK, and Langfuse evaluation pipelines. Proven track record managing a 6-member team, reducing delivery time by 60%, and owning end-to-end backend delivery for products serving 50,000+ DAU.
Skills
Backend & Cloud Engineering
- Node.Js
- Typescript
- Nestjs
- Express
- Directus
- Rest Apis
- Graphql
- Socket.Io
- Prisma
- Sequelize
Cloud & Infrastructure
- Aws (Lambda, Api Gateway, Ecs, Ecr, Ec2, Dynamodb, Sqs, Sns, S3, Eventbridge, Cloudformation, Codepipeline, Codebuild, Cloudfront, Route53, Cognito, Appsync, Amplify)
- Azure (Functions, Service Bus, Event Hub, Cosmos Db, Ad B2c, Pipelines)
- Gcp (Cloud Run, Iam, Vertex Ai)
Databases & Data
- Postgresql
- Mysql
- Mongodb
- Dynamodb
- Redis
- Elasticsearch
- Supabase (Edge Functions, Rls, Auth)
Ai & Llm Systems
- Llm Agents
- Tool Calling
- Openai Api
- Vercel Ai Sdk
- Langfuse
- Playwrite
- Opentelemetry
- Mcp
- Prompt Engineering
- Ai Evals
- Cost & Accuracy Optimization
- Ai-Assisted Development Practices (Cursor, Claude Code(Skills, Hooks, Custom Commands), Devin, Amp Code)
Architecture & Devops
- Event-Driven Architectures
- Microservices
- Serverless
- Caching Strategies
- Ci/Cd (Codepipeline, Jenkins, Github Actions)
- Docker
- Cloudformation
- Git
- Observability And Monitoring (Newrelic, Sentry)
Payments & Integrations
- Stripe
- Stripe Connect
- Square
- Twilio
- Sendgrid
- Firebase (Auth, Fcm, Cloud Functions)
- Getstream
- Icecast
- Ffmpeg
Leadership & Delivery
- Technical Leadership
- Code Standards And Reviews
- Mentoring And Coaching
- Agile Delivery
- Ownership Of End-To-End Delivery
- Stakeholder Collaboration
Languages
Education
Birla Vishvakarma Mahavidyalaya (GIA)
Bachelor of Technology - BTech · Computer Engineering · Anand, India
Nirma University
Diploma · Computer Engineering · Ahmedabad, India
Statistics
Experience
Global Experience
Expertise
Qualifications
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