---
title: "Rashi Gupta - Open Source contributer in Greater Delhi Area | Tal"
description: "Meet Rashi Gupta, Open Source contributer and Backend & Cloud Engineer | Building Scalable Systems with Python & Java | AWS Certified Cloud Practitioner (Candidate) based in Greater Delhi Area."
image: "https://tal.club/meet/rashi-6/share-image"
---

# Rashi Gupta on Tal

## Headline

Open Source contributer and Backend & Cloud Engineer \| Building Scalable Systems with Python & Java \| AWS Certified Cloud Practitioner \(Candidate\)

## About

𝗔𝗥𝗖𝗛𝗜𝗧𝗘𝗖𝗧𝗜𝗡𝗚 𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗧 𝗖𝗟𝗢𝗨𝗗 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘 I am a Backend Developer and Cloud Engineer focused on the convergence of 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 and 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀\. I don't just build applications; I engineer robust pipelines that are resilient, scalable, and data\-driven\. Currently pursuing my 𝗕\.𝗧𝗲𝗰𝗵 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 \(𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 & 𝗩𝗶𝗿𝘁𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻\) at 𝗦𝗵𝗮𝗿𝗱𝗮 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆, I am bridging the gap between theoretical distributed systems and real\-world application\. My goal is to build "Cloud\-Native" solutions where complex backend logic \(Java/Python\) meets cutting\-edge AI\. 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦 𝗥𝗲𝗮𝗹\-𝗧𝗶𝗺𝗲 𝗦𝘁𝗼𝗰𝗸 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗻𝗴𝗶𝗻𝗲 \(Internship\) Engineered a production\-grade financial backend integrating live data pipelines with ML inference\. • 𝗧𝗵𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Designed a high\-performance backend using FastAPI and PostgreSQL to handle the full lifecycle of financial data\. Implemented the Upstox API login flow to ingest live 1\-minute and daily OHLCV candle data, ensuring synchronization via custom CLI tools\. • 𝗠𝗟 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Built a seamless pipeline to feed historical data into a Linear Regression model for real\-time price predictions\. Additionally, engineered a technical analysis endpoint using TA\-Lib to compute and serve live market indicators \(RSI, Bollinger Bands, MACD\)\. • 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Dockerized the development environment to ensure consistency and managed version control via Git\. 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗔𝗥𝗦𝗘𝗡𝗔𝗟 • 𝗖𝗼𝗿𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python, Java, SQL • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: FastAPI, Spring Boot, REST APIs • 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS \(Certified Cloud Practitioner Candidate\), Docker, Virtualization • 𝗔𝗜 & 𝗗𝗮𝘁𝗮: Machine Learning Pipelines, TA\-Lib, OpenAPI, Data Analytics • 𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀: Agile Leadership, Strategic Problem Solving, Innovation 𝗟𝗢𝗢𝗞𝗜𝗡𝗚 𝗔𝗛𝗘𝗔𝗗 I am actively preparing for the 𝗔𝗪𝗦 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿 exam to formalize my expertise\. I am seeking opportunities with 𝗖𝗹𝗼𝘂𝗱\-𝗙𝗶𝗿𝘀𝘁 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀 where I can deploy AI\-driven backend architectures and solve complex infrastructure challenges\.

## Location

Greater Delhi Area

## Work experience

Open Source contributer at GirlScript Summer of Code, May 2026 \- Present · 3 mos

Back End Developer at Equantra, May 2025 \- Jul 2025 · 3 mos, Gaur City, Greater Noida, During the internship, we collaboratively built a stock price prediction system by integrating machine learning models with a backend API\. The backend team setup the development environment using Python, Git, Docker, and PostgreSQL, implemented the Upstox API login\-token flow, fetched live trading data, and developed CLI tools to sync NSE instruments and both 1\-minute and daily OHLCV candle data into the database\. Parallelly, an ML pipeline was developed by collecting historical stock data, preparing it for training, and creating a linear regression model using Python\. The trained model was deployed through a FastAPI route for real‑time predictions, processing dates into ordinal format and returning results via API\. We also added a technical indicator prediction endpoint, where the backend computes popular indicators such as RSI, Bollinger Bands, and MACD using the TA\-Lib library, based on stored OHLCV data, and serves results through a FastAPI API \(e\.g\., RSI, MACD, Bollinger Bands\) \. This project provided hands\-on experience across backend API design, real\-time data pipelines, CLI scripting, database interaction, machine learning model training and deployment, as well as technical indicator computation and serving via API—delivering a robust production\-like system for trading analytics\.

Cloud Intern at Veratech Intelligence, Jun 2024 \- Jul 2024 · 2 mos, Sector 17A, Gurgaon, Focus Area: Amazon Web Services \(AWS\) & Cloud Services Key Qualities: Professionalism, dedication, strong willingness to learn Contribution: Valuable to team and company projects Technical Domain: Cloud technologies and infrastructure

App Developer at Bharat Intern, Feb 2024 \- Mar 2024 · 2 mos, Delhi, India

## Education

Bachelor of Technology \- BTech, B\. Tech\. \(CSE\) \- Cloud Technology & Virtualization in association with AWS, sharda university

[View the original profile](https://tal.club/meet/rashi-6)

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