Hello, my name is
FAHAD HOSSAIN
And I'm
Building scalable backend systems with Node.js & TypeScript. Currently working at 6sense HQ.
Associate Software Engineer II
6sense HQ
Sept 2024 – Present
Experience
6sense HQ
Associate Software Engineer II
Sept 2025 – Now
- Architecting and scaling AI-powered microservices using NestJS, PostgreSQL, and AWS, handling high-volume document processing and asynchronous workflows.
- Integrated OpenAI Response API, vector embeddings (pgvector), and built intelligent pipelines for automated document analysis, structured data extraction, and AI-driven decision systems.
- Designed compatibility/decision engines for complex business logic evaluation, improving automated investment analysis accuracy and reducing manual review time significantly.
- Optimized inter-service communication using SQS, RabbitMQ, and EventBridge with idempotent job handling and distributed task processing.
Associate Software Engineer I
Sept 2024 – Aug 2025
- Developed scalable backend systems using microservice architecture, enabling high-performance communication across services using RabbitMQ and AWS SQS.
- Built and maintained multi-tenant architectures ensuring secure, isolated environments while sharing core infrastructure efficiently.
- Implemented CI/CD pipelines using GitHub Actions and ArgoCD, improving deployment reliability and reducing release time.
- Improved system performance using Redis caching, background job queues, and optimized PostgreSQL queries for large-scale data workflows.
Backend Developer Intern
Mar 2024 – Aug 2024
- Contributed to production-grade applications built with NestJS, NextJS, MongoDB, and PostgreSQL.
- Developed and maintained RESTful APIs ensuring secure data handling and seamless frontend-backend integration.
- Resolved critical bugs, refactored legacy modules, and wrote unit test cases using Jest to improve reliability and maintainability.
- Gained hands-on experience with real-world deployment workflows and collaborative development in agile environments.
Projects
Jeter.ai – AI Compatibility & Intelligent Dating Platform
- Engineered an AI-driven compatibility engine leveraging OpenAI Response API and vector embeddings (pgvector) to generate deep personality and preference-based matchmaking.
- Designed semantic similarity pipelines for profile matching using embedding search and custom scoring algorithms.
- Built complex decision logic combining AI inference, rule-based evaluation, and weighted compatibility scoring.
- Implemented scalable microservices with asynchronous job queues and distributed processing for real-time matchmaking.
- Optimized PostgreSQL queries and vector indexes to support high-performance similarity search at scale.
HTV – AI Powered Venture Capital Deal Management Platform
- Architected and developed a venture capital platform for automated deal processing, evaluation, and AI-powered investment analysis.
- Integrated OpenAI Response API, AI agents, and vector embeddings to enable intelligent document parsing, business plan analysis, and structured data extraction with ~95% precision.
- Designed scalable asynchronous workflows using AWS SQS and EventBridge for distributed document processing and background task orchestration.
- Built a Turborepo monorepo with shared packages, reducing build times by 40% and improving cross-service maintainability.
- Deployed cloud-native infrastructure using AWS (S3, EC2, SQS, EventBridge) ensuring high availability and horizontal scalability.
Reelsync.io – Multi-Tenant Video Production SaaS Platform
- Developed a scalable multi-tenant SaaS platform enabling video production teams to manage workflows, collaboration, clients, and payments.
- Designed tenant-isolated architecture ensuring secure data segregation while sharing core infrastructure.
- Implemented advanced RBAC system with granular role-permission control across organizations.
- Built Kanban-based workflow engine with task dependencies, timelines, collaborators, and customizable templates.
- Integrated Stripe for subscription billing, Zoho for automated invoicing, and Twilio for real-time notifications.
Pattern50 – Multi-Tenant Software Development & Document Management System
- Analyzed requirements, designed, and implemented a scalable database and core features, coordinating with frontend and QA teams to ensure smooth integration and deployment.
- Developed backend services using NestJS, TypeScript, MongoDB, and Redis for performance optimization.
- Established reliable microservice communication using RabbitMQ for a decoupled architecture.
Skills
Languages
- TypeScript (Primary), JavaScript (ES6+)
- SQL (PostgreSQL), Bash (Basic)
Backend
- NestJS, Node.js, Express
- Microservices Architecture, REST APIs, RBAC
- OpenAI Response API, LLM Integration, AI Agents
- Vector Search (pgvector), Embeddings, Compatibility Engines
- Background Jobs, Distributed Systems, Event-Driven Architecture
Frontend
- Next.js, React.js
- TailwindCSS, Responsive UI Development
- State Management & API Integration
Databases
- PostgreSQL (Advanced Querying, Indexing, Optimization)
- MongoDB
- Redis (Caching, Pub/Sub)
- pgvector (Vector Similarity Search)
DevOps & Tools
- AWS (S3, SQS, EC2, EventBridge)
- Docker, ArgoCD, GitHub Actions
- RabbitMQ, BullMQ
- Git, Turborepo, pnpm
Other
- Multi-Tenant System Design
- System Design & Scalability
- CI/CD & Cloud-Native Architecture
- Unit Testing (Jest)