AI & ML MANAGER / BUILDER OF POSSIBILITIES
Sanjaay
Gowda T S.
AI & ML leader building agentic products and enterprise automation. I connect AI, cloud, and teams to turn ambitious ideas into useful products.
INFINITE POSSIBILITIES.]
01 / RECENT PROJECTS / LAST 1 YEAR
Recent work.
Lasting impact.
A selection of projects I have worked on in the last year, including ongoing products with earlier origins.
Recent involvement: Oct 2025 - Oct 2026.
Showing all 5 projects.
02 / MY TOOLKIT
From possibility
to production.
Deep technical foundations.
A product mindset. A people-first approach.
AI & machine learning
Designing intelligent systems that turn data into decisions and automate complex workflows.
Cloud & engineering
Building scalable foundations, from data pipelines to cloud-native applications and reliable deployments.
Product & leadership
Bringing teams, technology, and business goals together to take products from concept to delivery.
03 / CROSS-INDUSTRY EXPERIENCE
Different industries.
One builder mindset.
I bring experience across these industries, applying AI, analytics, engineering, and product delivery to different business contexts.
TMT
Technology · Media · Telecom
Three connected sectors. One view of cross-industry experience.
Banking &
Financial Services
Financial services and banking
Retail
Commerce and retail businesses
Consumer Goods
CPG and consumer brands
Healthcare &
Life Sciences
Healthcare, pharma, and life sciences
Manufacturing
Industrial and manufacturing businesses
Research &
Consulting
Research and consulting firms
Where my work creates value.
Experience across business functions, supported by a full spectrum of data, cloud, and AI capabilities.
Marketing analytics & insights
Measurement, optimization, consumer insights, and competitive intelligence.
Customer experience & commerce
Customer analytics, journeys, personalization, digital shelf, and omnichannel analytics.
Supply chain & operations
Demand, planning, inventory, and operational analytics.
People & workforce analytics
Workforce, productivity, employee experience, and talent analytics.
Sales & revenue analytics
Growth, category management, guided selling, and sales effectiveness.
Enterprise data & AI enablement
Data foundations, modernization, engineering, and production AI.
04 / THE JOURNEY
Always evolving.
Always building.
From automating processes to leading enterprise AI. A career shaped by curiosity, ownership, and continuous learning.
Get the full resumeManager - ML & AI
Course5i · Bengaluru
Leading cross-functional teams to deliver scalable AI and ML solutions for 25+ enterprise clients, including Microsoft, LinkedIn, and Amazon.
Associate Manager - Full-stack Development
Course5i · Bengaluru
Managed 15+ enterprise-scale projects across Azure, Google Cloud, and AWS, with budgets exceeding $3M.
Data Engineer · Data Scientist · DevOps
Course5i · Bengaluru
Engineered pipelines processing 10TB+ daily, improved forecast accuracy by 20%, and supported cloud infrastructure with 99.9% uptime.
Analyst - Automation
Gallagher · Bengaluru
Worked in the MIS team, developing internal automation solutions with VBA and SQL to streamline internal processes.
05 / INTELLECTUAL PROPERTY
Original thinking.
A traceable foundation.
An architecture for sentiment that stays consistent, traceable, and reversible as evidence and theme hierarchies change.
Conceptual architecture
Application no. 202641107255
OFFICIAL TITLE
Causal-Consistent Hierarchical Sentiment State Reconciliation Using Version-Fenced Reversible Contribution Chains
THE IDEA, IN PLAIN LANGUAGE
When customer evidence changes, the sentiment attached to a topic and its parent topics should stay consistent. This architecture keeps each update traceable, checks versions before committing changes, and supports targeted corrections without losing where the evidence came from.
CONCEPTUAL WALKTHROUGH
When evidence changes,
the trail stays.
Try a small, fictional feedback example. See how evidence moves through a hierarchy while its origin stays visible.
“The support team resolved my issue.”
Ready to add“The same issue is still unresolved.”
Ready after E01- MACRO-THEMEnode.v1
Customer experience
- Direct
- No evidence
- Inherited
- No evidence
No evidence
- THEMEnode.v1
Customer support
- Direct
- No evidence
- Inherited
- No evidence
No evidence
- MICRO-THEMEnode.v1
Resolution quality
- Direct
- No evidence
- Inherited
- No evidence
No evidence
Start with one example of positive customer feedback. Each theme keeps its own evidence separate from inherited evidence.
Illustrative evidence and simplified counts explain the architecture. This is a conceptual demonstration, not the patent algorithm or a production product.
Explore the technical architecture and six contributions
TECHNICAL OVERVIEW
Designed a computer-implemented architecture for maintaining consistent, traceable sentiment across a thematic hierarchy, including macro-themes, themes, and micro-themes. The invention addresses how sentiment states should be updated when source evidence changes, conflicting sentiment appears, or the theme hierarchy evolves.
KEY TECHNICAL CONTRIBUTIONS
01Separate sentiment channels
Maintains direct evidence and sentiment inherited from descendant themes independently, preserving their origins.
02Traceable contribution chains
Links sentiment updates to source evidence, predecessor contributions, and transformation records.
03Version-validated transactions
Checks graph and node versions before committing related updates, helping prevent stale or partially applied contribution chains.
04Contradiction handling
Preserves conflicting sentiment and supports controlled attenuation or quarantine of disputed propagation.
05Reversible updates
Supports targeted correction and retraction using the original committed contribution path, even after the hierarchy changes.
06Recovery and replay
Uses committed records and version-bound path certificates to reconstruct state without repeating inference on unchanged evidence.
POTENTIAL APPLICATIONS
Customer experience analytics, Support-ticket intelligence, Contact-centre analytics, Product-feedback monitoring, Survey analysis, Enterprise text analytics.
06 / THE PERSON BEHIND THE WORK
Technical by training.
Curious by nature.
I’m an AI & ML Manager, software development lead, and builder. My work sits at the intersection of intelligent technology, thoughtful user experiences, and business impact.
With almost 10 years of experience and approximately USD $90M+ in cumulative business impact, I’ve built data pipelines, managed cloud infrastructure, and led teams delivering AI products across industries. I care about the full journey: asking the right questions, bringing people together, and creating something useful.
Recognized along the way3AI Pinnacle Rising Star Awards · 2020
C5I Hackathon Winner · 2021 & 2022
Employee of the Year · 2025
BEYOND THE BUILD
TechMegalodon
Newsletter on emerging technologies, industry trends, and developments in the tech industry. A place to keep learning and share discoveries.
07 / YOUR NEXT BIG IDEA
BENGALURU, INDIA · WORKING GLOBALLYConnect with me about AI products, enterprise automation, or a professional collaboration.