Based in Indore, India — Working Globally.
I Build SystemsPeople Trust.
AI Engineer and MarTech Architect building production-grade LLM agents, automated growth workflows, and analytics pipelines that turn strategy into measurable outcomes.
— Services
Three ways I help teams move faster.
— Learn, Free
873+ interactive lessons. No sign-up.
Everything I know about AI/ML and MarTech, written down and made interactive.
From Zero to LLM
Underlying math, Python, and architectures of deep learning — no hand-waving.
What is a Neuron?
Learn the foundational math of a perceptron, including weights, biases, and activation thresholds through an interactive demo.
The Transformer
Unpack the multi-head attention and encoder-decoder architecture that revolutionized modern Generative AI systems.
RAG Pipelines
Connect document chunking, semantic vector database retrieval, and model generation into an enterprise-ready pipeline.
Fine-Tuning LLMs
Full fine-tuning vs. LoRA/QLoRA vs. instruction tuning, and when to fine-tune instead of prompting or RAG.
Vector Databases Explained
Pinecone, Weaviate, and pgvector — approximate nearest neighbor search, HNSW indexing, and how vector databases power RAG.
RLHF: Reinforcement Learning from Human Feedback
The reward model and PPO pipeline behind alignment — how ChatGPT and Claude were trained to follow instructions.
Model Context Protocol (MCP)
Anthropic's open standard for connecting AI models to tools and data — the client-server architecture behind modern agentic AI.
Classifier Evaluation Metrics: Precision, Recall, ROC & F1
Why accuracy lies on imbalanced data, and how precision, recall, F1, and ROC/AUC give an honest picture of classifier performance.
Backpropagation Explained
The chain rule applied through a network layer by layer, with a full worked numeric example of how gradients flow backward.
ML System Design Fundamentals
What structurally separates ML systems from regular software: data dependency, non-determinism, train/serve skew, and feedback loops.
Model Compression: Quantization, Pruning & Distillation
Why production models need to shrink, and the tradeoffs of quantization, pruning, and knowledge distillation.
Analytics & Engineering
Tag management, server-side routing, consent, and BigQuery — built to scale.
GA4 Architecture
Deep dive into Google Analytics 4 event-driven models, custom parameters, user scopes, and BigQuery schemas.
Server-Side GTM
Learn how to deploy server-side tagging containers, set up custom subdomain routing, and bypass ad-blockers securely.
BigQuery for Marketers
Query raw GA4 dataset exports using SQL, build cross-channel attribution reports, and calculate user lifetime value.
Technical SEO Fundamentals
Crawlability, indexation, Core Web Vitals, robots.txt, canonical tags, and site architecture — the engineering layer that makes pages eligible to rank.
Marketing Attribution Models
First-touch, last-touch, linear, time-decay, and data-driven attribution — and why GA4 and ad platforms report different numbers.
Conversion Rate Optimization (CRO)
The CRO research-to-test process, heatmaps and session recordings, hypothesis-driven testing, and common friction points.
MarTech Stack Architecture
How to architect a MarTech stack as a system of data-flow layers, plus build vs. buy decisions.
Marketing P&L Fundamentals
How a P&L flows from revenue to net profit, and where marketing expense sits in it.
Measuring Marketing Effectiveness
Effectiveness vs. efficiency, incrementality, and holdout group testing.
Using Information for Customer Segmentation
Behavioral, demographic, RFM, and needs-based segmentation methodologies and how segments become campaigns.
Predictive Modeling for Marketing Campaigns
Building, scoring, and refreshing a response/propensity model for campaign targeting.
Strategic Marketing & Customer Lifecycle Planning
Tying tactical campaigns to acquisition, onboarding, growth, retention, and win-back stage goals.
About
I build production AI agents, autonomous automation pipelines, and enterprise MarTech systems.
An engineer focused on building production-grade AI systems, LLM agents, automated growth workflows, and analytics architectures.
I specialize in bridging the gap between state-of-the-art AI systems and real-world business execution. Over the last 3+ years, I’ve designed and implemented 0→1 generative AI products, custom RAG (Retrieval-Augmented Generation) agents, and API integrations that automate manual growth operations.
Alongside my AI work, I architect enterprise measurement pipelines—specializing in Google Analytics 4, Server-side GTM, and BigQuery integrations—ensuring that AI agents are fed clean, compliant data for optimal decision-making.
AI Engineering & Tech
MarTech Architecture
Growth & Marketing
Utilities & Tools
Projects
Work I've built
A blend of enterprise measurement systems, AI-powered workflow products, and growth engines designed to ship practical outcomes.
Deep Dives
Case studies with the full context behind the outcome
Three selected stories covering 0→1 AI product building, enterprise MarTech migration, and compounding SEO growth.
Experience
Career timeline
A career path shaped by business context, growth execution, and technical systems thinking. Click each role to expand the details.
Lead specialist building generative AI workflows, automated lead acquisition agents, and high-performance measurement architectures for enterprise accounts.
- Co-built quiksocial.quikit.ai from 0→1, developing automated outreach workflows, custom RAG agents, and CRM integrations with Python and OpenAI APIs.
- Designed and deployed LLM-powered marketing automation agents that reduced manual email qualification time by over 70%.
- Led Adobe Analytics to GA4 migrations and GTM rebuilds for brands like Credit.com and Lexington Law, cleaning up 800+ events to fuel marketing dashboards.
Ran SEO, social, and content strategy across multiple client accounts, later stepping into a lead role mentoring the in-house SEO team.
Built the company’s digital presence from scratch and turned inbound interest into qualified B2B demand.
— Contact
Let's build smarter growth systems.
If you need cleaner analytics, better automation, stronger GTM systems, or AI workflows that actually support commercial execution, I'd love to talk.
Send a Message