Forward Deployed Engineering · Strategy, Innovation and AI Products

I build and deploy technology with the people who use it.

I am Gagandeep Singh Pahuja, an NYU Tandon Management of Technology candidate with a DevOps engineering background. I have kept production systems alive, shipped products side by side with customers, and founded ventures end to end. My focus is the deployment side of strategy and innovation: between customers and engineering, until the technology works in the real world.

Forward Deployed Engineering MS Management of Technology, May 2027 AWS · GCP · Kubernetes London, Paris and New York Ex-DevOps, TCS

Start where you are

Portrait of Gagandeep Singh Pahuja, from his LinkedIn profile
Gagandeep Singh Pahuja
Brooklyn, New York
NYU
Tandon
5,297LinkedIn followers, checked 28 October 2026
50+students placed through UG Solutions partner accounts
100+users and peers included in venture research
91%accuracy from the London property price model I led
5industry leaders hosted on my first NYU panel
3global classrooms: London, Paris and New York

How I deploy

Useful in the field, where technology meets reality.

Understand the user, build against the real problem, keep the system alive after launch.

01 · With customers

In the room with users

Sit with the people doing the work, watch where it breaks, prototype against that.

  • Field research
  • Prototyping
  • UX feedback
  • Adoption
02 · In production

Systems that hold up

Three years of DevOps at TCS: cloud infrastructure, pipelines and reliability across AWS and GCP.

  • AWS and GCP
  • Kubernetes
  • Pipelines
  • Reliability
03 · Back to product

Field signal into roadmap

What breaks in the field becomes requirements, priorities and fixes the core team can act on.

  • Requirements
  • Roadmapping
  • Stakeholders
  • Delivery

Selected work

Problems I have actually worked on.

Things I have built, shipped and put in front of real users.

01

Machine learning · Built and deployed

London Property Price Predictor

I led a four-person team building an end-to-end machine learning pipeline for London property prices. The final LightGBM model, tuned with Optuna, used custom geospatial features and shipped as a live web app on Vercel.

LightGBMOptunaGeospatial featuresVercel
Model result91% accuracy, with a mean absolute error of 10.94%.
02

NYU capstone · AI evaluation

GUARDIAN

Before an organisation deploys AI, someone has to answer plainly: is it ethical, secure and ready? GUARDIAN turns scattered technical evidence into a readiness read decision-makers can act on. I lead the product work, sponsored by the Cyber Institute at NYU.

AI evaluationDeployment readinessTrust and safetyResearch
The ideaOne clear readiness read for decisions that are usually buried in documents.
03

Platform build · Team lead

Campus Dating Platform

Campus discovery products often optimise for volume before trust. I lead a student team building a verified campus platform where identity, intent and safety shape the experience from the start, from market sizing to architecture.

ArchitectureMarket sizingTeam leadershipTrust
Research signalAn 8 to 9 million user baseline identified during market sizing.
04

Founder · Customer discovery

UG Solutions

Computer science students needed real project experience, while early startups needed affordable technical help. UG Solutions connected the two sides through assessments, partnerships and a continuing project pipeline.

Built on research with more than 100 peers and testing with local startups.

FounderUser researchPartnershipsB2B model
Outcome50+ students placed across 10+ B2B startup partner accounts.

Building in the open

Innovation you can click, not just read.

My most recently updated builds, pulled live from GitHub every time this page loads. If it is here, it exists.

Loading the latest builds…

How I build with AI

I direct, I verify, I ship.

I use AI the way a forward-deployed builder should: start from the user’s workflow, prototype quickly, verify important outputs against source data, and turn the result into something a team can actually adopt.

Muse

Agentic build partner

Research, prototypes and automation run through it under my direction: this website, my public agent and my job-search systems. I set the constraints, review the output and ship what holds up.

Gemini

Evaluation and second-pass review

Important work gets audited by a second model before it reaches anyone. Its check of a five-university benchmark caught a real error my first pass missed. It also powers my public agent.

ChatGPT

Research synthesis

Literature reviews and dense academic reading for the MS and the capstone, turned into briefs, requirements and decision-ready summaries.

Canva AI

Stakeholder storytelling

Fast first drafts of executive decks and designs. I brief it with a design system, merge the real content in myself and verify the export, so decks look designed, not assembled.

Granola

Signal capture from the field

Every meeting becomes notes, decisions and action items with owners, so what users and stakeholders say does not get lost after the call.

Claude and Grok

Red-team review

Drafts, strategy and arguments get stress-tested by more than one model before I trust them. Claude and Grok are part of that rotation, each with a different blind spot.

Experience

A career built across three kinds of rooms.

Production rooms, customer rooms and founder rooms. The common thread is ownership of the outcome.

Sep 2026 · Present

Graduate Assistant

NYU Tandon School of Engineering. Course coordination, academic events and programme operations for Professors Tom Mazzone and Shizhu Liu.

New York, NY
Sep 2026 · Present

Vice President, External Relations and Partnerships

TechSHRM at NYU. External partnerships and industry links, including the HR industry panel I hosted at Tandon.

New York, NY
Jan · Aug 2025

Assistant Product Manager

Foxbiz Software. I defined feature requirements and delivery timelines for a modular SME platform: online stores, invoicing, multilingual settings, device pairing and data backup.

Bengaluru, India · Remote
Apr · Jul 2025

Founder and Chief Executive Officer

Mahamaya Food Corner. Led a small team from wireframe to a live food delivery platform, researching digital literacy and adoption barriers on the ground.

Ratanpur, India
Jul 2022 · Jan 2025

DevOps Engineer

Tata Consultancy Services. I managed cloud infrastructure across AWS and GCP, applied CyberArk and DevOps practices, and worked across teams on reliability and performance.

Pune, India
Aug 2021 · Mar 2022

AI and ML Intern

4MirrorTech Innovations. I built machine learning applications with TensorFlow and OpenCV across image processing, facial recognition and social-distancing use cases.

Remote
Dec 2019 · Jan 2021

Founder

UG Solutions. I launched a venture connecting computer science students with industry projects and startup partners.

Remote
Aug · Sep 2020

Game Development Intern

Xtrude Lab. I developed interactive environments and level designs with Unreal Engine, C# and blueprint scripting.

Remote

Education and credentials

Trained to connect technology and business.

London, Paris, New York, and an engineering campus in India.

Education

MS, Management of TechnologyNYU Tandon · 2025 to 2027 · GPA 3.5
Global Manager in EuropeESSEC Business School · 2026
BTech, Computer Science and EngineeringCSVTU, Bhilai · 2018 to 2022

Certifications and tools

SAP BTP Gen AI and Agentic AI WorkshopSAP · Jan 2026
Google Cloud EngineerGoogle · 2023
Neural Networks and Deep LearningCoursera · 2020
AI for EveryoneCoursera · 2020
Introduction to Git and GitHubCoursera · 2020
PythonAWSGCPKubernetesDockerTerraformTensorFlowGitDeploymentCustomer DiscoveryProject ManagementCommunicationDesign StrategyTableauFigma

Voice and community

I do not just attend rooms. I help build them.

Deployment work runs on trust and communication. LinkedIn is where I practise both in public, writing on product, AI and the work of getting technology adopted.

LinkedIn creator and mentor

5,297 people are following the journey.

I share lessons from product, AI, careers and student leadership, and mentor students on project ideas. The audience is not the point. The conversations are.

AI productsProduct careersFuture of workStudent leadershipGlobal study

500+ LinkedIn connections · Brooklyn, New York · Always open to a product conversation

Featured by NYU Tandon

Forging a global future in technology management

NYU Tandon profiled my route from TCS and two failed ventures to the Management of Technology programme across London, Paris and New York, setbacks included.

Read the NYU profile

Going global with NYU Tandon

NYU Tandon also ran a Q&A with me on the global route itself: the London first year, then the ESSEC summer in Paris, and working across cultures.

Read the NYU Q&A

What people say

“Gagandeep is so enthusiastic to learn new things, he is always ready for a challenge.”

Dr Ravikant Soni · Assistant Professor

“I have seen Gagandeep's work, he is highly skilled in Python, SQL, Git and GCP.”

Rahul Jaiswal · Mentor

My latest LinkedIn posts

The three most recent, shown live from LinkedIn.

Ask my agent

Short on time? Ask the agent.

This page is the short version. My agent carries the detail: the full story behind each role, how I work, and the project backstories, back to my first builds in 2020.

Chat with Sky's agent

Ask it what I did at TCS, how the London model reached 91%, why I have been building price comparison tools since 2022, or how to reach me. It answers from my verified record only.

What is next

Let us talk about the deployment, the role or the team you are building.

I am preparing for forward deployed and deployment-focused roles starting in 2027, and I am always glad to talk strategy, innovation and the last mile between a demo and a working system.

Sky’s agent

Online · answers from his verified record