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Chinmay Rajguru

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

Mumbai

9+ years of work experience

Abans Finserv
Apr 20265 mosPresent

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.
Abans Finserv
Apr 20265 mosPresent

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.
GKN Aerospace
Apr 20233 yrsMar 2026

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).
GKN Aerospace
Apr 20233 yrsMar 2026

Identified, shaped and led emerging-technology initiatives in GKN's Research & 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.
University of Sussex
Feb 20201 yr 3 mosApr 2021

Brighton, England, United Kingdom

Subject: Professional Skills
University of Sussex
Feb 20194 yrsJan 2023

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.
University of Sussex
Feb 20194 yrsJan 2023

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.
8i
Mar 201810 mosDec 2018

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%.
Southern Illinois University, Carbondale
Jan 20171 yrDec 2017

United States

Chinmay’s AI Stack

antigravity
antigravity
codex
codex

Education

University of Sussex

Doctor of Philosophy - PhD, Informatics

University of Sussex

20193 yrs2022
Southern Illinois University, Carbondale

Master of Science - MS, Computer Science

Southern Illinois University, Carbondale

20161 yr2017

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Headline

Technology & 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 & 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 & 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 & Ph.D. Researcher (Spatial Computing & 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