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Tapan P. - Aws, NestJS, AWS

My name is Tapan P. and I have over 6 years years of experience in the tech industry. I specialize in the following technologies: AI Agent Development, AI App Development, AI Chatbot, AI Consulting, Artificial Intelligence, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Wellness Vault - Python, Next.js, Nest.js, Amazon Web Services, React, Paydash - Python, API, Amazon Web Services, Shell, Data pipeline, AI developer - Building a microservice in Python, FastAPI, Langchain, AI developer - AI Agent, Langchain, OpenAI API, Python, FastAPI, Coinswitch Kuber - Python, Flask, Amazon Web Services, Docker, API, etc.. I am based in Ahmedabad, India. I've successfully completed 10 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • Aws

    6 years

  • AI Agent Development

    5 Years

  • AI App Development

    3 Years

  • AI Chatbot

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Wellness Vault - Python, Next.js, Nest.js, Amazon Web Services, React

Created multiple features like Stripe Payment gateway integration, Meal planning algorithm, Recipe bundle exports, and migrating all platform users from GoHighLevel. The choice of tech stack was already done before I joined the project. We used NextJS + NestJS in the project to create a fast, performant web app that gives health and wellness coaches a smooth experience in developing, planning, and sharing recipe bundles and meal plans. ✔️ python ✔️ Next.js ✔️ Nest.js ✔️ Mongodb ✔️ Amazon Web Services ✔️ Docker ✔️ Web app development ✔️ AI chatbot development ✔️ Stripe ✔️ API ✔️ Redis

Paydash - Python, API, Amazon Web Services, Shell, Data pipeline

Clients were looking for an upgrade of the backend APIs that serve as a data source for their backend. The primary reason for migrating was to increase data accuracy from the new REST API source. Data accuracy after integration was a significant factor that I had to monitor. I created new Python scripts and CRON jobs to synchronize new data promptly. I made new data models in the database to incorporate this data without introducing breaking changes in the front end. I also created detailed reports on data accuracy. Achieved better accuracy in the most significant features of the reports.

AI developer - Building a microservice in Python, FastAPI, Langchain

This project aimed to use generative AI to create a microservice on Google Cloud Platform that collects data from users' email accounts, such as Google and Outlook, and automatically captures income, expenses, and subscription details. ✔️ AI agent developer ✔️ AI chatbot developer ✔️ Python ✔️ Google Cloud Platform ✔️ FastAPI ✔️ Node.js ✔️ React ✔️ MongoDB ✔️ Redis ✔️ Docker ✔️ GPT 4.1 ✔️ Open AI API ✔️ Langfuse ✔️ Gemini ✔️ GCP ✔️ Artificial Intelligence ✔️ LLM prompt ✔️ Prompt Engineering ✔️ Langchain ✔️ AI agent ✔️ React native ✔️ Generative AI ✔️ Email analytics ✔️ GCP kubernetes

AI developer - AI Agent, Langchain, OpenAI API, Python, FastAPI

Designed and implemented a transcript-aware agentic chatbot for long-duration software projects. Built using Python, LangChain, FAISS for vector search, OpenAI GPT-4.1, and embedding APIs, with Langfuse for observability. The system helps teams trace decisions, detect scope creep, and query call histories. Backend built with FastAPI, frontend with React, deployed on AWS. I led the project end-to-end as the solution architect, ensuring performance and real-world usability.

Coinswitch Kuber - Python, Flask, Amazon Web Services, Docker, API

I worked as SDE-3 for coinswitch Kuber in the backend, and my role was to develop, maintain, and improve several essential features, code review, and deployment. Please refer to the details in the portfolio below for particulars. And don't forget to check out what my manager said about the work. ✔️ Python ✔️ FastAPI ✔️ Postgresql ✔️ Flask ✔️ Node.js ✔️ React ✔️ MongoDB ✔️ Redis ✔️ Docker ✔️ Artificial Intelligence ✔️ React native ✔️ REST API ✔️ Grafana ✔️ Kibana ✔️ Logstash ✔️ Crypto ✔️ Stripe ✔️ Jenkins ✔️ Docker ✔️ Kubernetes ✔️ API development ✔️ AWS ✔️ Pagerduty ✔️ Git ✔️ Amplitude

Education

  • Vishwakarma government engineering College

    Bachelor of Engineering (BEng) in Computer science

    2012-01-01-2016-01-01

Languages

  • English
  • Gujarati
  • Hindi

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