---
title: "Parakram Singh Chauhan - SDE-2 in Gurugram | Tal"
description: "Meet Parakram Singh Chauhan, SDE-2 @ GlobalNodes | Ex-Intel | Master of Technology based in Gurugram. AI stack includes cursor, opencode, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/parakram-singh-chauhan/share-image"
---

# Parakram Singh Chauhan on Tal

## Headline

SDE\-2 @ GlobalNodes \| Ex\-Intel \| Master of Technology

## About

Backend\-focused Software Development Engineer II with experience building scalable, production\-grade platforms and data\-driven systems\. Strong foundation in performance engineering, system design, and backend architecture\. Currently working with NestJS, MongoDB, AWS serverless, and event\-driven systems, owning backend services, APIs, and analytics pipelines\. Experience building products from scratch and scaling features for real\-world usage\. Interested in backend, platform, and distributed systems roles that operate at scale\.

## Location

Gurugram

## AI stack

cursor

opencode

claudecode

## Work experience

SDE\-2 at GlobalNodes, May 2025 \- Present · 1 yr 4 mos, Gurugram, Haryana, India, SESH \(Current\) \- Backend Engineer for Sesh, a next\-generation fan community platform supporting large\-scale user interactions\. \- Designed and developed scalable backend services using NestJS, focusing on performance, reliability, and clean architecture\. Adcities \- Worked as a Backend\-leaning Full Stack Engineer, delivering multiple production features\. \- Built and integrated server\-side APIs and business logic while supporting frontend flows in Next\.js\. \- Focused on backend reliability, API design, and seamless data flow between services\. HousingFlipp \- Architected and developed HousingFlipp, a data\-driven real estate analytics platform to identify high\-ROI fix & flip opportunities in Greater LA\. \- Designed serverless backend architecture using AWS Lambda, DynamoDB, EventBridge, and REST APIs, with Next\.js \(SSR\) for the UI layer\. \- Built data ingestion and processing workflows integrating Zillow geospatial data via RapidAPI, enabling actionable investment insights\. \- Owned backend architecture, data modeling, and API design end\-to\-end\.

Software Engineer 1 at Intel Corporation, Aug 2022 \- Apr 2025 · 2 yrs 9 mos, Bengaluru, Karnataka, India, \- Contributed to HPC performance analysis and optimization using Intel VTune Profiler and Intel Advisor, identifying CPU, memory, and threading bottlenecks\. \- Developed and enhanced Python\-based automation scripts and frameworks as part of a larger system, reducing manual profiling effort by \~30–40%\. \- Assisted in automating performance experiments and report generation, improving analysis turnaround time by \~25%\. \- Collaborated with senior engineers and cross\-functional teams to deliver actionable performance insights for compute\-intensive workloads\.

Graduate Intern at Philips Innovation Campus, Bangalore, Aug 2021 \- Aug 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India, \- Worked on Rhapsody IBE which required JavaScript for the backend\. \- Automated a pipeline using Powershell and Python Scripting\. \- Automated testing of a pipeline using the BDD Cucumber Framework\.

## Education

Master of Technology, Computer Science, Thapar Institute of Engineering & Technology

Bachelor of Technology, Computer Science and Engineering with specialisation in Cloud Computing, Graphic Era Deemed to be University

## Public links

- github: https://github\.com/parakramchauhan98

[View the original profile](https://tal.club/meet/parakram-singh-chauhan)

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