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Forward-Deployed AI Engineer @ Adobe
FORWARD-DEPLOYED AI ENGINEER · SAN JOSE, CA

Practical problems.
Thoughtful AI.

I’m Madhav. A builder at my core, a forever student, and a Forward-Deployed AI Engineer at Adobe within the AI Strategy & Innovation team.

With 7+ years bridging data engineering, product, and marketing analytics, I focus on solving real human and operational challenges through hands-on AI experimentation that genuinely works in practice.

Applied AI Engineering
LLM Frameworks & RAG
Workflow Automation
Databricks AI Agents
Experimentation & MAB
01 / SELECTED WORK

Ideas, made tangible.

Hands-on applications in applied AI, retrieval systems, and machine learning. Built to explore, deployed to learn.

APPLIED MACHINE LEARNING 02
01 Raw Data Extraction
02 Talend ETL + Oracle ADW
03 Collaborative Filtering Model
04 Containerized Deployment

A recommendation is only as good as its underlying data pipeline.

APPLIED MACHINE LEARNING & RECSYS

Anime Recommender ↗

An end-to-end recommendation engine connecting enterprise ETL pipelines, cloud data warehousing, collaborative filtering model training, and containerized deployment on cloud compute.

Python Oracle ADW Talend Docker ML Modeling
LLM EXPERIMENT & SYSTEMS 03
01 Factual Knowledge Input
02 Dynamic Prompt Template
03 Language Model Inference
04 Humor Output Generation

Exploring prompt engineering and structured generation for computational humor.

LLM EXPERIMENT & WEB DEPLOYMENT

Fact → Joke ↗

A fact-based joke generator exploring prompt design, language-model output structuring, latency optimization, and full application deployment on an Ubuntu cloud server.

LLMs Prompt Engineering Python Flask Oracle Cloud
ENTERPRISE APPLIED AI

Enterprise AI & Intelligent Automation

LatentView · Fortune 500 Engagement

Highlights from production systems engineered for enterprise marketing analytics and decision intelligence:

Autonomous Databricks AI Agents

Modernized analytics infrastructure, cutting ad-hoc reporting turnaround times by heading the integration of AI-driven Databricks agents that enable automated, natural-language self-serve data insights.

Multi-Armed Bandit (MAB) Testing

Optimized campaign performance, driving a double-digit lift in user engagement by guiding offshore analysts and data scientists to implement an adaptive Multi-Armed Bandit experimentation framework.

02 / THE JOURNEY

Engineering, with business context.

A foundation built on understanding people, products, behavioral telemetry, and the intelligent systems behind them.

AUG 2026 — PRESENT
● CURRENT
ADOBE

Forward-Deployed AI Engineer

AI Strategy & Innovation team · San Jose, California · On-site
  • Deploying frontier AI capabilities within the AI Strategy & Innovation organization to build solutions for real enterprise and creative workflows.
  • Hands-on experimentation with emerging foundation models, agentic frameworks, and evaluation pipelines to bridge theoretical AI with dependable production software.
  • Partnering closely with cross-functional product and engineering teams to transform complex challenges into practical, user-centric AI systems.
JUN 2024 — AUG 2026
2 YRS 3 MOS
LATENTVIEW ANALYTICS

Analytics Consultant | Product & Marketing

Fortune 500 Technology Client (Lifecycle Marketing) · San Jose, California · Hybrid
  • Accelerated analytics delivery for a Fortune 500 tech giant's Lifecycle Marketing team, significantly reducing reporting turnaround by translating high-level business requirements into technical roadmaps and guiding a 4-person offshore team.
  • Modernized enterprise analytics infrastructure, cutting ad-hoc reporting requests by heading the integration of AI-driven Databricks agents for automated, self-serve data insights.
  • Optimized campaign performance, driving measurable double-digit lift in engagement by directing offshore analysts and data scientists in implementing an adaptive Multi-Armed Bandit testing framework.
  • Enhanced executive data visualization, migrating 25+ mission-critical dashboards from Tableau to Power BI with zero downtime, supported by fault-tolerant data pipelines.
THE FOUNDATION
PRODUCT, DATA & EXPERIMENTATION

High-Growth Product & Behavioral Analytics

OYO & Enterprise Growth Environments
  • Owned end-to-end product telemetry, user journey experimentation, and conversion rate optimization (CRO) across high-velocity booking platforms.
  • Engineered fraud-detection algorithms and automated ETL pipelines, achieving a 60% reduction in pipeline runtimes through rigorous query optimization and workflow automation.
  • Shaped an engineering philosophy focused on human outcomes: solving genuine operational needs rather than introducing complexity for its own sake.
EDUCATION
UNIVERSITY AT BUFFALO, SUNY

Master of Science in Business Analytics

School of Management · 4.0 GPA
  • Graduated with a perfect 4.0 GPA, specializing in machine learning, predictive modeling, data architecture, and decision analytics.
  • Treating everyday problem-solving and rapid learning as the real lifelong classroom.
THE TOOLBOX

Focus areas & technology stack.

Core technical competencies honed through 7+ years of building production pipelines, analytical engines, and applied AI systems.

Strategic Focus Areas

Applied AI Engineering Workflow Automation Analytics & Data Engineering Experimentation & A/B Testing Multi-Armed Bandit (MAB) Behavioral & Product Telemetry Cross-functional Problem Solving

Tools, Models & Technologies

Python SQL (Advanced) Databricks LLM Frameworks (LangChain) Predictive Modeling Power BI Docker Oracle Cloud / ADW Talend Git / CI/CD
Professional Certifications & Credentials
  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Scientist Associate
  • Microsoft Certified: Power BI Data Analyst Associate
  • Google Analytics Certification
  • Certified ScrumMaster (CSM)
  • Product Analytics Micro-Certification · Product School
03 / KEEP THE CONVERSATION GOING

What are you
curious about?

Get in touch to discuss applied AI, workflow automation, or data engineering.

Say hello ↗ Book a conversation ↗