Anishek
Kamal

Senior Cloud Solution Architect at Microsoft · Founder

I help engineers ship AI to production and mentor 400+ people navigating careers in data and AI. 10+ years building at enterprise scale—Microsoft, Lululemon, and Press Ganey.

Currently building products using

Lovable Replit Bolt Claude OpenAI OpenClaw Cursor Wispr Flow Manus Factory GitHub Copilot
About

Success in AI and data engineering
isn't about talent alone.

I'm Anishek Kamal, a Data and AI Solutions Architect. For 10+ years, I've helped enterprise customers ship AI that works in production. Currently a Senior Cloud Solution Architect at Microsoft, and founder of Toya, a financial clarity app built from lived experience.

I mentor 400+ engineers and advise startups on Data and AI adoption. I write regularly on LinkedIn for 8,000+ followers. I help engineers and founders navigate career growth in data and AI.

10+

Years in Tech

400+

Engineers Mentored

Services

How I can help

AI architecture, data engineering consulting, and career mentorship — for engineers shipping in production and founders building with AI.

View all on Topmate

1:1 Career Mentorship in Data and AI

You're figuring out your next career move. You want to break into data or AI. You need someone who's done it before. This is that session—no fluff, just honest guidance from 10+ years in the field.

30 min Video Call
Book

Data & AI Architecture

You have a data or AI problem that needs solving at scale. Bring your architecture, roadmap, or frustration. We'll diagnose the issue, map a solution, and you'll leave with a concrete action plan.

60 min Video Call
Book

AI for Startups Advisory

Get practical AI strategy—not hype. I'll show you exactly where AI creates leverage in your product. You'll leave knowing which features to build first and which to skip.

45 min Video Call
Book

Startup & Founder Coaching

Building a company is hard. Building one as an immigrant—with financial pressure and family expectations—is harder. I've lived it. I'll help you navigate what you're facing right now.

30 min Video Call
Book

Unsure which session matches your needs? Read my articles on AI career paths and data engineering strategy . Then book a call when you're ready.

Or just reach out
Experience

The journey so far

Work Experience

Senior Cloud Solution Architect

Microsoft

Sep 2022 – Present

United States

I lead AI strategy for enterprise customers. I partner with C-level executives to define high-value AI use cases and ship them to production. I build applications with OpenAI, Azure AI Foundry, and LangChain—including chatbots, research agents, and image analysis tools. I reduced inference latency by 30% and wrote technical blogs that field teams adopted company-wide.

Azure AI Foundry OpenAI LangChain Databricks

Staff Data Engineer

Press Ganey Associates

Nov 2021 – Aug 2022

United States

I drove Data and AI integration for healthcare clients. I built scalable data pipelines that reduced time-to-insight by 40%. I managed Azure infrastructure and Databricks workflows that served 5+ cross-functional teams.

Azure Databricks Healthcare AI

Azure Data Engineer

Lululemon

Sep 2020 – Oct 2021

United States

I built a personalized recommendations model that increased sales conversions by 12%. I developed scalable data pipelines and containerized 10+ applications using Docker and Kubernetes. I improved data processing times by 30%, accelerating analytics and ML workflows.

Azure Docker Kubernetes ML

Technical Architect

Neal Analytics LLC

Dec 2017 – Aug 2020

United States

I served as pre-sales Data/AI architect for enterprise clients, where I scoped solutions that closed multi-million dollar deals. I designed end-to-end data and AI systems that cut cloud costs by 35%. I mentored engineering teams and accelerated delivery by 60% through DevOps automation.

Architecture Pre-sales Data/AI

Big Data Developer

KloudData Labs

Earlier

India

Healthcare AI use cases and data migration. Worked on Hadoop pipeline design and performance tuning across enterprise data environments.

Hadoop Healthcare Big Data

Education

Quantic School of Business and Technology

Executive MBA

2024

Focused on technology entrepreneurship, product strategy, and business innovation. Applied MBA concepts directly to building and scaling tech ventures.

Jagannath University

Bachelor of Computer Science

2016

Foundation in computer science, algorithms, and software engineering.

Skills & Expertise

Built to build

I've shipped AI and data systems for 10+ years across enterprise, startup, and cloud environments. I master the full stack—from raw data ingestion to production AI deployment.

AI & Machine Learning

End-to-end AI application development, from prompt engineering to production agentic systems.

OpenAI Claude Llama Mistral Azure AI Foundry LangChain LangGraph Agentic AI RAG Pipelines HuggingFace Semantic Kernel Copilot Studio Prompt Engineering AI Evaluation

Data Engineering

Scalable pipeline design, lakehouse architecture, and real-time data systems at enterprise scale.

Apache Spark Databricks Azure Data Factory Kafka Snowflake dbt Delta Lake SQL / T-SQL Data Lakehouse ETL / ELT

Cloud & Infrastructure

Certified across the three major cloud platforms with deep Azure expertise.

Microsoft Azure AWS Google Cloud Kubernetes Docker Terraform Azure DevOps CI/CD Pipelines

Languages & Frameworks

Core programming languages and frameworks used day-to-day to build and ship.

Python SQL FastAPI

Certifications

Solutions Architect Expert

Microsoft

Azure Developer, Data Engineer, Administrator, DevOps

Microsoft

Designing and Implementing a Microsoft Azure AI Solution

Microsoft

Solutions Architect – Professional

AWS

Snowflake Certified Associate

Snowflake

Book a Session

Let's work
together

You might be scaling a data platform. You might be figuring out where AI fits in your product. Or you might be building as an immigrant founder. I'll give you direct, practical guidance—no fluff.

Book on Topmate

Who I work with

  • Data engineers navigating career growth
  • Startup founders who need AI strategy
  • Immigrant entrepreneurs building under pressure
  • Tech leaders designing data platforms

Response time

Usually within 24 hours

Frequently Asked

Questions people ask me

What does Anishek Kamal do?

I'm a Senior Cloud Solution Architect at Microsoft specializing in AI and data engineering. I help enterprise customers ship AI that works in production, mentor engineers on career growth in data/AI, and advise startups on AI strategy. I'm also a founder — I built Toya, a financial clarity app.

Who do you work with on mentorship and advisory calls?

Data engineers navigating career growth, startup founders figuring out where AI fits in their product, immigrant entrepreneurs building under financial and visa pressure, and tech leaders designing data platforms at scale. Book a session on Topmate.

What AI and data engineering tools do you work with?

I build on Azure AI Foundry, OpenAI, LangChain, LangGraph, Databricks, and Apache Spark. I ship RAG pipelines, agentic AI systems, and scalable data platforms. I hold Microsoft Azure Solutions Architect Expert, AWS Solutions Architect Professional, and Snowflake certifications.

How do I break into data engineering or AI in 2025?

Start with SQL fundamentals, then add Python, dbt, one cloud platform (Azure or AWS), and orchestration with Airflow or Dagster. Ship a real project — a pipeline that pulls from a public API, transforms with dbt, and loads to a warehouse — and put it on GitHub. Hiring managers care about projects, not courses.

Should I use RAG or fine-tuning for my AI application?

Use RAG when the knowledge changes frequently, you need source citations, or your corpus is large and heterogeneous. Use fine-tuning when you need consistent style or format across thousands of outputs, latency is critical, or your task is highly specialized. They're not in competition — many production systems combine both.

How can I book a session with Anishek?

All sessions are booked through Topmate at topmate.io/anishekkamal. Available formats: 1:1 career mentorship (30 min), data & AI architecture review (60 min), AI for startups advisory (45 min), and startup & founder coaching (30 min). Response time is typically within 24 hours.

Still have questions?

Book a 15-min intro call
Contact

Get in touch

Have a data or AI project in mind? Want to collaborate on building something? Or just want to connect? Send me a message. I respond within 24 hours.

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