Supreet Sethi

CEO

Australia19 yrs 1 mo experience
Highly StableAI Enabled

Key Highlights

  • Reduced AI deployment timelines by 77% through automation.
  • Managed over $50M in cloud infrastructure across Asia Pacific.
  • Bridged GenAI infrastructure with business outcomes.
Stackforce AI infers this person is a Cloud and AI Infrastructure Architect with expertise in Fintech and SaaS.

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Skills

Core Skills

Ai InfrastructureCloud ArchitectureData EngineeringPlatform As A Service (paas)

Other Skills

AutomationGenAITechnical LeadershipProject ManagementKubernetesGPU PlatformsDistributed SystemsMulti-Cloud (AWS | Azure | GCP)Python (Programming Language)FlaskC++RedisUnixJavaMySQL

About

I help Australian banks, retailers, and marketplaces turn AI from pilot projects into production systems that scale — without blowing out cost or compliance. At E2E Cloud and AWS, I’ve: • Cut AI deployment timelines by 77% (from 65 to 15 days) through automation. • Managed $50M+ in cloud infrastructure across Asia Pacific. • Delivered sector outcomes — from banking architectures, to GPU-accelerated recommender engines for retail & property listings. What sets me apart: I bridge GenAI infrastructure and business outcomes. Whether it’s forensic cost transparency, hybrid sovereign cloud, or scaling AI teams in a skills-short market — I translate cutting-edge models (Llama, Deepseek, Stable Diffusion, Gemma) into outcomes CFOs, CTOs, and boards understand. I work best with leaders who need: • AI cost visibility (model licensing vs infra breakdown) • Sector-compliant deployments (banking, health, NDIS, retail) • Faster time-to-market for AI-driven products

Experience

19 yrs 1 mo
Total Experience
1 yr 9 mos
Average Tenure
1 yr 6 mos
Current Experience

E2e cloud

VP of AI Solutions

Nov 2024Present · 1 yr 6 mos · Melbourne, Victoria, Australia

  • Reduced AI workload migration turnaround time by 77% (from 65 to 15 days) through process optimisation and automation. SME for GenAI inference deployments with popular open weights models - Llama, Deepseek, Stable Diffusion, FLUX, Whisper, Bhashini, and smaller domain specific SLMs like Gemma-3b, BERT, ModernBERT, T5, CLIP
AI InfrastructureAutomationCloud ArchitectureGenAI

The migration workshop

Co-Founder

Jun 2024Present · 1 yr 11 mos · Greater Melbourne Area · On-site

  • Building the missing DevOps tooling for Mongo

Couchbase

Director for Solution Engineering APAC

Jan 2024Jul 2024 · 6 mos · Singapore · On-site

  • Providing Regional leadership to technical pre-sales folks. Thought Leadership. Provided technical executive coverage for Prudential which was the largest Cloud customer for
  • Couchbase and represented 8% of its global revenue.
Data EngineeringTechnical Leadership

Amazon web services (aws)

3 roles

Area Tech Lead for Specialists in ASEAN

Jun 2022Jan 2024 · 1 yr 7 mos · Singapore

  • As an AWS managed services specialist, I am currently bringing the necessary skills to diversify your portfolio. One impactful example is connecting SAP and Analytics services, bridging the gap between traditionally separate domains. I am drawing dotted lines between these areas, enabling seamless integration and data flow.
  • Through diversification and integration, I believe AWS is maximizing the value of your AWS investments and drive innovation within your organization.
Platform as a Service (PAAS)Data EngineeringProject Management

ASEAN SA Manager for Startups

Dec 2020Jun 2022 · 1 yr 6 mos · Singapore

  • Provided executive coverage for largest VC-backed and IPO-stage startups like PropertyGuru, SEA Group, StashAway, and Grab, which represented 45% of ASEAN revenue for AWS through the COVID period
Platform as a Service (PAAS)Data EngineeringProject Management

Principal Solution Architect for Startups and VC

Mar 2019Dec 2020 · 1 yr 9 mos · Singapore

  • Worked in Startup ecosystem partners to engage with Startups. I would form the technical point of contact for Startups to receive architectural level assistance.
  • Executive Coverage
  • Technical Thought Leadership
  • Cost Optimisation
  • Architectural Choice
  • Modernisation
  • Digital Transformation
  • Cyber Security and Compliance
  • and most importantly technology scaling.
Platform as a Service (PAAS)Data EngineeringProject Management

Ralali.com

SVP of Engineering

Jan 2017May 2018 · 1 yr 4 mos · Jakarta, Jakarta, Indonesia

  • Built a successful turn around story. Going from 0 txn/day on day 1 to 600 txn/day by day 90 of my stint. It required product and technology innovation. Team right sizing. Product management. Ralali is currently among most valued startups in Indonesia
Data EngineeringProject Management

Pt tokopedia

Technical Architect

Nov 2014Dec 2016 · 2 yrs 1 mo · Jakarta, Jakarta, Indonesia

  • Tokopedia offered an autonomy to lead a large technology team at a critical moment. 2015 saw phenomenal growth of E-Commerce in Indonesia and Tokopedia with it. This gave unique oppertunity to solve tough scaling problems in short time span. The marketplace pieces doubled in "Daily Active Users" every 3 months putting pressure on Home page, Product Detail Page and Search. These were the pieces, I re-architected.
  • During 2016, I moved into building a new train ticket platform for Tokopedia. It was part of digital goods initiative in the organization. I took care of all aspects including technology. The train ticket recieved phenomenal growth going from 0 transactions in February to 1000 in April. In process Tokopedia became 3rd largest online ticket vendor.
Data EngineeringProject Management

Jabong

Technical Architect

Apr 2014Mar 2015 · 11 mos · Gurugram, Haryana, India

  • Created new direction for scalability. I prototyped, tested and successfully deployed first set of SOA modules.
  • Bankrolled on this success to build a large team of system engineers for revamping the entire platform.
  • Gained intimate understanding of internet commerce from platform design and business workflow.
Data EngineeringProject Management

Entrepreneurial finance lab [efl]

Technology Consultant

Dec 2013Feb 2014 · 2 mos · Remote

  • Provided engineering depth since major part of team were data scientists.
  • Picked credit risk model as standalone piece and fit it with rest of the web workflow.
  • Optimized the process so that this exercise gets easier each time.
Data EngineeringProject Management

State

Technology Consultant

Nov 2009Mar 2012 · 2 yrs 4 mos · London, United Kingdom and New Delhi, India

  • Lead product development of complex Natural Language Processing and Freebase API services.
Data EngineeringProject Management

Mpower mobile, inc

Senior Software Engineer

Jun 2007Sep 2009 · 2 yrs 3 mos · India

  • Designed and built banking platform with API pipelines for transaction flow. Managed a team of extremely talented and accomplished developers.
  • Wrote a domain specific language for transacting through SMS
  • Lead team to accomplish clean room implementation of banking
Data EngineeringProject Management

Monster inc.

Team Leader

Jun 2006Jun 2007 · 1 yr · Greater Delhi Area

  • Lead a team which executed discovery platform for resumes and jobs.
  • Revamped search and discovery for Monster India portal
  • Gained knowledge of managing large teams under tight deadlines
Data EngineeringProject Management

Yahoo inc.

Systems Engineer

Oct 2004Jun 2006 · 1 yr 8 mos · Bengaluru, Karnataka, India

  • Managing user data mining platform
  • Kept large data mining system running
  • Improved on its performance characteristics
  • Built a data mining job management and reporting tool
Data Engineering

Ge

Technical Consultant (through CDC)

Jan 2003Jan 2004 · 1 yr · Bengaluru, Karnataka, India

  • Built product specifications from client use cases
  • Put timeline for execution
  • Lead very challenging product development in scientific computing
Data Engineering

Education

University of London

Master in Arts — Communication and Media Studies

Jan 2009Jan 2011

Indira Gandhi National Open University

Bachelor — Computer Application

Jan 1998Jan 2007

S S Mota Singh Senior Secondary Model School

Jan 1996Jan 1998

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