Rachit

Expertise in backend development with hands-on experience in deployment with AWS.

[Rachit @rachitt_123]

Fine-tuning a VLM for document extraction is quite different from just asking an LLM to read a document.
The interesting part is getting it to reliably map messy visual information into a fixed JSON structure.
Been experimenting with this : a doc to josn:
https://t.co/lXU0p5yukn

[Rachit @rachitt_123]

Spent some time fine-tuning Qwen3-VL-4B for structured extraction from Indian financial documents.
Document image → JSON, using LoRA fine-tuning.
Model is now open on Hugging Face:
https://t.co/lXU0p5yukn
#Qwen3VL #VLM

[Rachit @rachitt_123]

Fine-tuned Qwen3-VL-4B financial documents turning document into structured JSON.
Built for Document AI, OCR, information extraction and production inference with vLLM.
https://t.co/lXU0p5yukn
#Qwen3VL #VLM #LLM #DocumentAI #GenAI

[Rachit @rachitt_123]

@famous_dyl I am interested

[Rachit @rachitt_123]

https://t.co/jWGzjNeUM6
#ai #bank #document #llm #model #extraction #docoumentextraction

[Rachit @rachitt_123]

Open to AI Engineer Roles
Worked on:
• NL-to-SQL systems
• Document reconciliation
• Agentic AI
• LLM model fine-tuning
• AI pipelines
Excited to connect with people building the next generation of AI products.
#OpenToWork #AIEngineer #GenAI #LLM #AgenticAI #Hiring

[Rachit @rachitt_123]

Open to AI Engineer Roles
Worked on:
• NL-to-SQL systems
• Document reconciliation
• Agentic AI
• LLM model fine-tuning
• AI pipelines
Excited to connect with people building the next generation of AI products.
#OpenToWork #AIEngineer #GenAI #LLM #AgenticAI #Hiring

[Rachit @rachitt_123]

🚀 Excited to share my project: A Django app for sending emails with custom prompts! 📧⏰
🔑 Features
•Gmail API integration with OAuth
•send bulk email with custom messages to each
•Schedule emails at specific times

https://t.co/60CMQzkdMQ

[Rachit @rachitt_123]

@2013_adarsh @Aditya59104 @anxkxxl @Crypto_Jargon @kishanhuman Udhar me hu vhai