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Tapan P. - Fullstack Developer, Next.js, NestJS

Working at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.

Main technologies

  • Fullstack Developer

    6 years

  • AI Agent Development

    2 Years

  • AI App Development

    3 Years

  • AI Chatbot

    5 Years

Additional skills

  • AI Agent Development
  • AI App Development
  • AI Chatbot
  • AI Consulting
  • Artificial Intelligence
  • Generative AI
  • Python
  • Flask
  • Django
  • FastAPI
  • Amazon Web Services
  • Docker
  • Back-End Development
  • Next.js
  • NestJS

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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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