Muntasir Mallik
Full Stack AI Engineer
Tech Lead @ XyRo AI
I build AI agent powered products end to end, from RAG pipelines and LLM workflows to polished cross-platform web and mobile apps, shipped to thousands of users.
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Aug 2025 - Present
XyRo AI
Tech Lead & Founding AI Engineer
Remote, Pune, India
- Building an AI agent powered lead generation product with contact discovery and enrichment.
- Implemented Outlook and Gmail drafting with file attachments and templates.
- Set up scheduled jobs to refresh and expand lead lists, and managed multi-threading and concurrency in Python to improve throughput and reliability.
- Engineered workspace management with role-based and delegated permissions access control.
- Delivered web app features in Next.js with authentication and sessions using Clerk.
- Handled AWS deployments for services and storage.
Jan 2025 - Aug 2025
QuokkaForGood.com
Full Stack Developer
Remote, United States
- Built and scaled a cross-platform newsletter/email reader for web and mobile using Next.js and React Native, serving 10,000+ users.
- Engineered email infrastructure using Postfix, Amazon SES, and Gmail API, processing 200,000+ emails/month.
- Designed and deployed serverless pipelines with Azure Functions, Blob Storage, and Azure Files.
- Delivered streaming response experience for newsletter previews with incremental content loading, improving engagement by ~35% and reducing bounce rate by ~20%.
- Built memory-efficient Docker containers and modular services to reduce infrastructure costs by 30% across AWS, Azure, and DigitalOcean.
- Added system monitoring and health checks to improve production stability.
- Created a B2B chat-driven platform for newsletter ownership transfers with polling-based messaging features.
Mar 2025 - May 2025
AOSSIE.org
Contributor, Google Summer Of Code
Remote, Australia
- Participated in initial architecture planning for the Devr.AI project with 5+ contributors.
- Defined event-driven system design, LLM workflows, and modular structure.
- Built a Retrieval-Augmented Generation (RAG) module integrating LLM responses with vector-based document search.
- Developed real-time messaging and video systems using WebSocket and WebRTC.
- Migrated the project from Vite JavaScript to TypeScript and improved setup documentation
- Improved UI interactions and revamped a nested comment system.
- Integrated Docker to reduce development environment setup time by ~50%.
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Languages
Programming languages I am well versed with.
Typescript
Javascript
C
C++
Python
Go
Java
Backend
Efficiently architecting servers and databases with these.
Express.js
Nest.js
FastAPI
Flask
Django
PostgreSQL
MongoDB
Frontend
Tools I use to craft beautiful and responsive applications.
React.js
Next.js
React Native
Tailwind
Shadcn/ui
Clouds
Cloud platforms I have experience with.
AWS
Azure
GCP
Vercel
Docker
CI/CD
Others
Additional skills.
Jest
Pytest
Socket.IO
Git
OpenAI Agents
Langchain
RAG
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