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Tapan P. - Fullstack Developer, NestJS, Frontend

My journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.

Main technologies

  • Fullstack Developer

    6 years

  • AI Agent Development

    2 Years

  • AI App Development

    2 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
  • Frontend

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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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