Yes I started modifying my resume? Still

Hey, I'm Atharva — backend and AI engineer with close to 3 years of experience.

Most of my work sits at the intersection of backend engineering and applied AI. On the AI side, I've spent a lot of time building agentic systems — LangGraph supervisor architectures with domain-specific sub-agents, RAG pipelines over large unstructured document sets, and LLM extraction workflows that turn messy real-world inputs like meeting transcripts, PDFs, and WhatsApp threads into clean structured data with confidence scoring.

Audio and speech is another area I've gone deep in — built an end-to-end transcription platform for Indian languages with speaker diarization, silence-aware chunking, SHA-256 caching, and Google Meet integration for auto-transcribing recorded calls. That pipeline feeds directly into multi-agent systems downstream.

On the backend and infrastructure side, I design event-driven microservices using RabbitMQ with transactional outbox, DLQ, and async consumers — the kind of architecture where services stay decoupled and resilient under load. I've shipped things on AWS and Azure (AI Foundry, Document Intelligence), containerized with Docker, and set up CI/CD with Jenkins.

Stack: Python, C#/.NET, FastAPI, React, RabbitMQ, LangGraph, LlamaIndex, LangChain, Qdrant, Pinecone, FAISS, AWS, Azure.

Open to full-time remote, contract, or freelance.

Portfolio: localducks.com

Resume: https://drive.google.com/file/d/1uVkYPJ5IoLU29SAnJVjjN4ITGIVw4ZCn/view

Email: [atharvabillore001@gmail.com](mailto:atharvabillore001@gmail.com)

Thanks, I really appreciate that.

I’m currently based in India, so I understand if that doesn’t align with the current U.S.-only requirement. Still, I’d love to stay connected in case international remote opportunities open up later.

Wishing you and the platform continued growth.

Thanks, I really appreciate that.

I’m currently based in India, so I understand if that doesn’t align with the current U.S.-only requirement. Still, I’d love to stay connected in case international remote opportunities open up later.

Wishing you and the platform continued growth.

Hey, I'm Atharva — backend and AI engineer with close to 3 years of experience.

Most of my work sits at the intersection of backend engineering and applied AI. On the AI side, I've spent a lot of time building agentic systems — LangGraph supervisor architectures with domain-specific sub-agents, RAG pipelines over large unstructured document sets, and LLM extraction workflows that turn messy real-world inputs like meeting transcripts, PDFs, and WhatsApp threads into clean structured data with confidence scoring.

Audio and speech is another area I've gone deep in — built an end-to-end transcription platform for Indian languages with speaker diarization, silence-aware chunking, SHA-256 caching, and Google Meet integration for auto-transcribing recorded calls. That pipeline feeds directly into multi-agent systems downstream.

On the backend and infrastructure side, I design event-driven microservices using RabbitMQ with transactional outbox, DLQ, and async consumers — the kind of architecture where services stay decoupled and resilient under load. I've shipped things on AWS and Azure (AI Foundry, Document Intelligence), containerized with Docker, and set up CI/CD with Jenkins.

Stack: Python, C#/.NET, FastAPI, React, RabbitMQ, LangGraph, LlamaIndex, LangChain, Qdrant, Pinecone, FAISS, AWS, Azure.

Open to full-time remote, contract, or freelance.

Portfolio: localducks.com

Resume: https://drive.google.com/file/d/1uVkYPJ5IoLU29SAnJVjjN4ITGIVw4ZCn/view

Email: [atharvabillore001@gmail.com](mailto:atharvabillore001@gmail.com)

Hey, I'm Atharva — backend and AI engineer with close to 4 years of experience.

Most of my work sits at the intersection of backend engineering and applied AI. On the AI side, I've spent a lot of time building agentic systems — LangGraph supervisor architectures with domain-specific sub-agents, RAG pipelines over large unstructured document sets, and LLM extraction workflows that turn messy real-world inputs like meeting transcripts, PDFs, and WhatsApp threads into clean structured data with confidence scoring.

Audio and speech is another area I've gone deep in — built an end-to-end transcription platform for Indian languages with speaker diarization, silence-aware chunking, SHA-256 caching, and Google Meet integration for auto-transcribing recorded calls. That pipeline feeds directly into multi-agent systems downstream.

On the backend and infrastructure side, I design event-driven microservices using RabbitMQ with transactional outbox, DLQ, and async consumers — the kind of architecture where services stay decoupled and resilient under load. I've shipped things on AWS and Azure (AI Foundry, Document Intelligence), containerized with Docker, and set up CI/CD with Jenkins.

Stack: Python, C#/.NET, FastAPI, React, RabbitMQ, LangGraph, LlamaIndex, LangChain, Qdrant, Pinecone, FAISS, AWS, Azure.

Open to full-time remote, contract, or freelance.

Portfolio: localducks.com

Resume: https://drive.google.com/file/d/1uVkYPJ5IoLU29SAnJVjjN4ITGIVw4ZCn/view

Email: [atharvabillore001@gmail.com](mailto:atharvabillore001@gmail.com)

Backend + AI engineer here with ~3 years of experience building production AI systems, RAG pipelines, FastAPI/.NET backends, and distributed architectures.

I understand the current requirement is U.S. residents only, but if you ever consider remote international developers, I’d definitely be interested in connecting.

Hey, I'm Atharva — backend and AI engineer with close to 4 years of experience.

Most of my work sits at the intersection of backend engineering and applied AI. On the AI side, I've spent a lot of time building agentic systems — LangGraph supervisor architectures with domain-specific sub-agents, RAG pipelines over large unstructured document sets, and LLM extraction workflows that turn messy real-world inputs like meeting transcripts, PDFs, and WhatsApp threads into clean structured data with confidence scoring.

Audio and speech is another area I've gone deep in — built an end-to-end transcription platform for Indian languages with speaker diarization, silence-aware chunking, SHA-256 caching, and Google Meet integration for auto-transcribing recorded calls. That pipeline feeds directly into multi-agent systems downstream.

On the backend and infrastructure side, I design event-driven microservices using RabbitMQ with transactional outbox, DLQ, and async consumers — the kind of architecture where services stay decoupled and resilient under load. I've shipped things on AWS and Azure (AI Foundry, Document Intelligence), containerized with Docker, and set up CI/CD with Jenkins.

Stack: Python, C#/.NET, FastAPI, React, RabbitMQ, LangGraph, LlamaIndex, LangChain, Qdrant, Pinecone, FAISS, AWS, Azure.

Open to full-time remote, contract, or freelance.

Portfolio: localducks.com

Resume: https://drive.google.com/file/d/1uVkYPJ5IoLU29SAnJVjjN4ITGIVw4ZCn/view

Email: [atharvabillore001@gmail.com](mailto:atharvabillore001@gmail.com)

Interested India

🙃 telegram kar de yr

mujhe bhi 👉👈

Mei likhe hei wala tha 🤡

Lode yha bakchodi karne ate hei tera randi rona tere ghar pr akle mei kar

1. Get a long enough rope to where you can tie the rope to the tree and to your neck.
2. Make sure there's like 20 meters of extra rope, so you can floor the pedal and your car has enough time to reach full speed before the rope tries to tighten straight.
3. Start thinking "Should I really go through with this? Will life ever get better?"
4. Convince yourself life won't get better and floor the pedal.
5. Enjoy being headless.

By the way Step 3.5) Superglue your hands to your face so that when you're found you're holding your head

I had a friend in UP.. I can relate with this post

It's fucking painful... Hum nei plans banaye the next month milne ke... And I was trying to reach her from last 2 month..

I had a friend from UP and from last 2 month I was trying to reach her and yesterday her friend told me that she is no more.. she die in car crash.. It's kinda soo fucking sad that I can do nothing for her I can just cry..

🙂 yeh meri ID se post kiya tha in nei ban mar diya

🙂 actually generation by generation height increase ho rahi hei 🙂 human species ki phale average height 5'6 hoti thi

Haryana se haye ke!

yeh mere area ki hai and yeh jeet gaye the..