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Ripunjay S. AI, Machine Learning and General Development

My name is Ripunjay S. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning Model, Machine Learning, LangChain, Retrieval Augmented Generation, etc.. I hold a degree in Bachelor of Technology (BTech). Some of the notable projects I've worked on include: LangGraph Document Validation Agent, Custom LLM Training & Serving Infrastructure, Graph-Based RAG Chatbot for Visa Assistant. I am based in Ghaziabad, India. I've successfully completed 3 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Machine Learning and General Development

    0 years

  • Artificial Intelligence

    1 Year

  • Machine Learning Model

    1 Year

  • Machine Learning

    1 Year

Additional skills

  • Artificial Intelligence
  • Machine Learning Model
  • Machine Learning
  • LangChain
  • Retrieval Augmented Generation
  • Chatbot Development
  • FastAPI
  • Python
  • LoRa
  • PyTorch
  • Neo4j
  • Docker
  • Kubernetes

Direct hire

Potentially possible

Previous Company

Visa2fly

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Experience Highlights

LangGraph Document Validation Agent

Developed an autonomous multi-agent system for intelligent document validation using LangGraph state machine orchestration. Integrated distributed workers (Celery + Redis) with Neo4j-based graph retri

Custom LLM Training & Serving Infrastructure

Built a custom LLM fine-tuning and serving pipeline for travel documentation datasets using LoRA. Deployed on AWS EKS with KServe for scalable serving and LMCache for optimized inference latency. Red

Graph-Based RAG Chatbot for Visa Assistant

Architected a RAG (Retrieval-Augmented Generation) pipeline that powers a graph-based travel assistant chatbot. Integrated Neo4j database storing 10,000+ validation rules and document relationships.

Education

  • Bennett University

    Bachelor of Technology (BTech) in Computer science

Languages

  • English (Fluent)