Do you need expert AI blogs to boost B2B Leads & Content Marketing?
👉 If the answer is yes, get in touch with me via an introductory call or email me at [email protected]
How do we work together?
What topics do I write about?
What kind of clients have I worked with?
I have worked with numerous early-stage and growth-stage AI & SaaS startups including:
Pricing
Read my blogs:
- Please share your proposal detailing your content requirements; timelines; target audience; title, outline, and length of each article; key words/phrases from an SEO perspective; reference articles as well as details of the review & publication process.
- I typically consider long-term engagements of 3+ months or a minimum of 5 blogs.
- I will review your proposal and we discuss and agree on terms of engagement.
- I will share the draft of each blog and work with your team to incorporate your feedback and prepare the blog for publication.
What topics do I write about?
- Generative AI, Large Language Models, LLMs as Judge, Vector database, LLM selection, LLM Strategy, Gen AI use cases etc.
- Deep Learning, Natural Language Processing, Speech recognition
- Data Governance, Data Culture, Data Quality and Strategy
- Deep dive on AI use cases such as Fake News, Image Recognition etc.
- AI team building and hiring, deep dive on roles and career development
What kind of clients have I worked with?
I have worked with numerous early-stage and growth-stage AI & SaaS startups including:
- Neptune, Singlestore, Domino Data Labs, Octo.ai, Encord, Pachyderm, Label Studio, Toptal, Fingerprint, OpenLayer, Ikigai etc.
Pricing
- My pricing ranges from $500 onwards for a ~1000-1500 word blog. I typically take on writing projects that require a minimum of 3-5 blogs with a clear proposal including outline, target audience, keyword research etc. for each blog.
Read my blogs:
AI: Use cases
AI: Careers & Coaching
AI: Leadership & Strategy
AI: Data & Governance
Team development
Misc.
- From Vibe Coding to Context Engineering
- Context Engineering
- Medical Superintelligence
- Prompt Engineering
- Agentic AI
- Mixtral - Mistral of Experts Large Language Model
- How to choose the best time series forecasting model?
- Federated Machine Learning for Healthcare
- AI & Web3
- What are Fake Reviews?
- Knowledge Distillation: Principles, Algorithms & Applications
- TLDR: AI for Text Summarization & Generation of TLDRs
- Covid or just a Cough? AI for Detecting Covid-19 from Cough Sounds
- Fact-checking Covid-19 Fake News
- AI-enabled Conversations with Analytics Tables
AI: Careers & Coaching
- AI Automation Engineer
- The Transformer Revolution: The Ultimate Guide for AI Interviews
- GenAI Career Blueprint: Mastering the Most In-demand Skills of 2025
- AI & Your Career: Charting your Success from 2025 to 2035
- The Manager Matters Most: Spotting Bad Managers during the Interviews
- AI Careers Revolution: Why Skills Now Outshine Degrees
- How To Conduct Innovative AI Research
- Why Starting Early Matters in the Age of AI?
- How do I crack a Data Science Interview and do I also have to learn DSA?
- [video] Economics and Pricing of Generative AI Models and Applications
- [video] Large Language Models for India
- [video] Mock Interview - Machine Learning System Design
- [video] Mock Interview - Deep Learning
- [video] Mock Interview - Data Science Case Study
- [video] UCL Alumni - AI & Law Careers in India
- [video] UCL Alumni - AI Careers in India
- [video] AI Research Advice
- [video] AI Career Advice
- [video] How to Become an AI Engineer?
AI: Leadership & Strategy
- The COO's AI Blueprint: Spearheading Operational Excellence with Gen AI
- India's AI Paradox: Strengths vs. Gaps in the Stanford AI Index 2025
- Building a Winning Gen AI Strategy for Enterprises
- How CXOs are actually using Generative AI
- Corporate Training in Generative AI for Indian Enterprises
- India's AI Infrastructure Crisis: Holding Back its Talent
- AI Talent: India's Greatest Asset in the Global AI Race
- India's AI Edge: Applications, not Foundational LLMs
- Challenges in Adoption of Indian LLMs
- Can India become a Global AI Leader?
- Gen AI Readiness: A Strategic Guide for Tech Startups
- Recruiting AI/ML Engineers: Best Practices
- Quality vs. Cost of Large Language Models
- Monetizing AI: The Economics and Pricing of GenAI
- How to Build a GenAI Team for your Startup?
- How to Automate MLOps?
- Data Engineer vs Data Scientist
- Top 10 MLOps tools
- Developing AI/ML Projects for Business - Best Practices
- Building AI/ML products
- How to build AI Teams that Deliver?
- Why Corporate AI Projects Fail? Part 1
- Why Corporate AI Projects Fail? Part 2
- How to hire Data Science teams?
- Benefits of FAANG companies for Data Science & ML roles
- ML Engineer vs Data Scientist
- Best Practices for Improving Machine Learning Models
- The Case for Reproducible Data Science
- Reskilling India for an AI-First Economy
AI: Data & Governance
- How to Choose a Vector Database
- Data Preparation Steps for Data Engineers
- Why is a Strong Data Culture Important to your Business
- How Big Tech Companies Define Business Metrics
- What are Best Practices for Data Governance?
- Choosing a Data Governance Framework for your Organization
- Why Data Democratization is important to your business?
- How to ensure Data Quality through Governance
- The Metric Layer and how it fits into the Modern Data Stack
- How to Generate Synthetic Data for Machine Learning Projects
- Understanding and Measuring Data Quality
- Surefire Ways to Identify Data Drift
- Data Labeling and Relabeling in Data Science
- Data Labeling: The Unsung Hero Combating Data Drift
Team development
- How to Manage Stakeholders Effectively?
- Effective Communication between Scientists and Non-scientists
- How to Improve Retention in Engineering Teams?
- Team Development Tips for Engineering and Product Leaders
- Five 5-minute Team-Building Activities for Remote Teams
Misc.