---
title: "Chinmay Rajguru - Senior Project Leader in Mumbai | Tal"
description: "Meet Chinmay Rajguru, Technology & Innovation Leader | Enterprise AI • AI-Mediated Reality • 0-to-1 Innovation | $30M+ Value Delivered | Ph.D. in Spatial Computing based in Mumbai. AI stack includes antigravity and codex."
image: "https://tal.club/meet/chinmay-rajguru/share-image"
---

# Chinmay Rajguru on Tal

## Headline

Technology &amp; Innovation Leader \| Enterprise AI • AI\-Mediated Reality • 0\-to\-1 Innovation \| $30M\+ Value Delivered \| Ph\.D\. in Spatial Computing

## About

I have 8\+ years of experience turning emerging technologies into real, adopted systems — across aerospace, capital markets, deep\-tech startups and research\. I've worked as a 3D Pipeline Engineer, UX Researcher, Enterprise AI Architect and Senior Project Leader, including leading AI innovation at GKN Aerospace and building a capital\-markets trading platform at Abans Finserv\. Along the way, I've delivered $30M\+ in quantified business value, contributed to $10M\+ in innovation funding, and led teams across the UK, Sweden, the Netherlands and India\. I also hold a Ph\.D\. in Spatial Computing with 8\+ peer\-reviewed publications on how technology can reshape human perception — a thread I continue to explore through my work in AI today\. 📩 hello\.chinmayrajguru@gmail\.com \| 🔗 cnraj23\.github\.io/portfolio

## Location

Mumbai

## AI stack

antigravity

codex

## Work experience

Senior Project Leader at Abans Finserv, Apr 2026 \- Present · 5 mos, Mumbai, Maharashtra, India, • Own product direction and opportunity discovery for Dealer Pad, a capital\-markets trading platform supporting 40\+ users across deal entry, hedging, ETFs, warehouse transfers, cash and reconciliation workflows\. • Work directly with business users to uncover operational needs, validate concepts through user research and rapid mock\-ups, and translate high\-value opportunities into priorities for a six\-engineer team\. • Identified manual regression testing as an AI\-automation opportunity and independently conceived and built an internal Playwright \+ Claude Code testing product spanning 80\+ test cases\. • Reduced full regression cycles from up to one week of manual effort to a repeatable 2–3 hour automated run with pass/fail and defect reporting\. • Embedded GenAI into discovery, requirements, ticketing and documentation workflows, compressing discovery\-to\-delivery turnaround on a 15\-day sprint cadence\.

Senior Project Lead at Abans Finserv, Apr 2026 \- Present · 5 mos, Own product direction and opportunity discovery for Dealer Pad, a capital\-markets trading platform supporting 40\+ users across deal entry, hedging, ETFs, warehouse transfers, cash and reconciliation workflows\. Work directly with business users to uncover operational needs, validate concepts through user research and rapid mock\-ups, and translate high\-value opportunities into priorities for a six\-engineer team\. Identified manual regression testing as an AI\-automation opportunity and independently conceived and built an internal Playwright \+ Claude Code testing product spanning 80\+ test cases\. Reduced full regression cycles from up to one week of manual effort to a repeatable 2–3 hour automated run with pass/fail and defect reporting\. Embedded GenAI into discovery, requirements, ticketing and documentation workflows, compressing discovery\-to\-delivery turnaround on a 15\-day sprint cadence\.

Technical Project Lead &amp; Enterprise AI Architect at GKN Aerospace, Apr 2023 \- Mar 2026 · 3 yrs, Bengaluru, Karnataka, India, Delivered $30M\+ in quantifiable business value through AI\-enabled process improvements and enterprise architecture initiatives; helped secure $10M\+ in global innovation funding\. Architected secure on\-prem LLM and RAG systems \(local models, FastAPI, vector databases\) that met strict ITAR and data\-sovereignty constraints, breaking a board\-level deadlock on AI adoption and cutting cloud dependency by 30%\. Led global cross\-functional teams across 3\+ international sites \(UK, Sweden, Netherlands\), taking initiatives from proof\-of\-concept to industrialization with direct C\-suite exposure \(CDO, global IT leadership\)\. Built factory computer\-vision/OCR automation \(YOLO\-based wire\-insertion verification\) from a one\-week prototype to an industrialization roadmap, saving 500\+ manual inspection hours annually\. Created an enterprise data\-governance framework \(MS Fabric, Purview, Power BI\) and scalable backends/DevOps pipelines \(Python, FastAPI, Docker, Kubernetes, Azure DevOps, GitLab\)\.

Lead Enterprise Architect at GKN Aerospace, Apr 2023 \- Mar 2026 · 3 yrs, Identified, shaped and led emerging\-technology initiatives in GKN's Research &amp; Technology organisation, delivering $30M\+ in quantified business value through AI\-enabled process innovation and enterprise architecture; contributed to investment cases supporting $10M\+ in global innovation funding\. Explored enterprise GenAI adoption under ITAR, data\-sovereignty and security constraints; evaluated deployment pathways and led rapid validation of secure on\-premise LLM and RAG architectures\. Translated technical feasibility, regulatory constraints and enterprise requirements into a scalable AI adoption pathway, helping resolve a board\-level decision deadlock and reducing cloud dependency by 30%\. Led global cross\-functional innovation initiatives across the UK, Sweden, Netherlands and India, moving opportunities from early concept and proof of concept toward industrialisation\. Identified manual wire\-insertion inspection as an automation opportunity; evaluated computer vision and OCR pathways and built a YOLO\-based prototype within one month to demonstrate feasibility \(PyTorch/OpenCV, model training and inference on NVIDIA GPUs\)\. Converted successful validation into an industrialisation roadmap and scalable solution concept projected to save 500\+ manual inspection hours annually\. Worked with the CDO and global technology stakeholders to communicate emerging\-technology opportunities, align strategic priorities and build executive support for innovation initiatives\.

Teaching Assistant at University of Sussex, Feb 2020 \- Apr 2021 · 1 yr 3 mos, Brighton, England, United Kingdom, Subject: Professional Skills

UX Researcher &amp; Ph\.D\. Researcher \(Spatial Computing &amp; Acoustics\) at University of Sussex, Feb 2019 \- Jan 2023 · 4 yrs, Greater Brighton and Hove Area, Invented AudioZoom, a headphone\-free localized spatial\-audio system combining acoustic metamaterials, computer vision, and Unity/IoT integration — concept to working prototype to publication\. Directed psychoacoustic studies with 210\+ participants, translating hard physics into UX measures for spatial presence and cognitive load\. Published 8\+ peer\-reviewed papers in top venues including Nature Scientific Reports, ACM SIGGRAPH, and JASA\.

User Experience Researcher at University of Sussex, Feb 2019 \- Jan 2023 · 4 yrs, Co\-developed AUDIOZOOM, a location\-based sound\-delivery system that mediates auditory reality by combining acoustic metamaterials, computer vision and spatial\-computing technologies; presented at ACM SIGGRAPH Asia 2019 \(Emerging Technologies\)\. Worked on a privately funded industry–research collaboration with Portal Devices, applying acoustic metamaterial techniques to investigate an industrial cinema\-screen acoustics problem\. Designed and conducted human\-participant validation studies across spatial audio and web\-based 3D environments, translating experimental performance into user insights; research included 210\+ participants and was published in Nature Scientific Reports\. Co\-authored a challenges\-and\-opportunities analysis of spatial sound and virtual worlds, synthesising emerging technology trends, research barriers and future application opportunities\. Participated in the AURORA research team's BBC World Service Digital Planet recording; the research was featured internationally alongside wider science\-media coverage\. Published 8\+ peer\-reviewed research outputs across Nature Scientific Reports, ACM SIGGRAPH, Frontiers and JASA\.

Pipeline Engineer at 8i, Mar 2018 \- Dec 2018 · 10 mos, Los Angeles Metropolitan Area, Built production\-grade AR/VR tools and automated 3D capture pipelines for volumetric and holographic media \(Python, AWS\), processing 500\+ assets with on\-time enterprise delivery\. Automated calibration and 3D rendering workflows, improving production efficiency by 15%\.

Graduate Teaching Assistant at Southern Illinois University, Carbondale, Jan 2017 \- Dec 2017 · 1 yr, United States

## Education

Doctor of Philosophy \- PhD, Informatics, University of Sussex

Master of Science \- MS, Computer Science, Southern Illinois University, Carbondale

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

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