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Nisarg P. AI, Cloud and Chatbot Platforms

My name is Nisarg P. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Python, FastAPI, Vector Embedding, Vector Database, Chatbot Development, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Azure AI–Powered Multi-Agent Enterprise Conversational Platform, Amazon Seller Analytics Platform – Deepm.ai. I am based in Ahmedabad, India. I've successfully completed 2 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, Cloud and Chatbot Platforms

    1 year

  • Python

    1 Year

  • FastAPI

    1 Year

  • Vector Embedding

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Amadeus IT Holdings

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Experience Highlights

Azure AI–Powered Multi-Agent Enterprise Conversational Platform

Delivered an Azure-native Multi-Agent AI Chatbot Platform using Azure OpenAI (GPT-4o), Azure AI Search with vector embeddings, Document Intelligence, and Azure Vision. Built scalable RAG pipelines, in

Amazon Seller Analytics Platform – Deepm.ai

Deepm.ai is an advanced analytics platform built for Amazon sellers. It fetches data via Amazon SP API and web crawlers to generate in-depth insights. Features include product exploration, performance

Education

  • L.D College of Engineering

    Bachelor of Engineering (BEng) in

    2010-01-01-2014-01-01

Languages

  • English (Fluent)