​​Hi! I'm Sundeep, an AI researcher and consultant with 15+ years of experience in USA, UK, France, and India across Big Tech (Conversational AI at Amazon Alexa), Startups (Applied AI at Swiggy) & Academia (Wellcome Trust funded Neuroscientist at Oxford [Fellow] & UCL [PhD]).

I consult tech companies and leaders on AI Strategy & Product; coach candidates for Big Tech Data Science jobs; blog on AI & Leadership; research on AI & Neuroscience (40+ papers, 2200+ citations; h-index: 25); give keynote talks; and the media has extensively covered my work.

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I help Tech leaders & companies build their AI Strategy, Teams & Products

​​I have advised global clients from US, UK, EU, India on:

• Data Science team building strategy for unicorn startup
• ​NLP for information extraction from Legal documents

• Sentiment Analysis of Tweets and effect on Stock Price
• Caption generation for Fashion images in eCommerce
• Entity extraction from Patent applications
• Credit scoring based on Blockchain​
• AI Fairness and Bias Mitigation 

I coach aspiring Data Science professionals to crack jobs in Big Tech

​​My clients have received Data Scientist jobs in the US from:​

• Apple
• Meta
• Amazon
• LinkedIn
• Twitter
• ​Databricks
• ​& many more

I create and share expert AI content and career advice

​        AI: Leadership & Best Practices

• Developing AI/ML Projects for Business - Best Practices                        
• 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
• Top 10 MLOps tools [New]
• Best Practices for Improving Machine Learning Models
• The Case for Reproducible Data Science
• Reskilling India for an AI-First Economy

        AI: 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

        AI: Use cases

• What are Fake Reviews? [New]
• 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: Career advice

• Q&A on Careers in AI (Industry Insiders for UCL Alumni) [Video] [New]
• Robinhood Machine Learning System Design Mock Interview [Video] 
• Amazon Deep Learning Mock Interview [Video] 
• AI in India (Industry Insiders for UCL Alumni) [Video] 
• Careers in AI [Video] 
• AI Career Advice - Part 1 [Video] 
• AI Career Advice - Part 2 [Video] 
• ​How to conduct innovative, applied AI research? [Video] 
• How has the field of AI evolved? [Video] ​
• Advice for people who want to do research in AI
• How crucial is starting early in data science?​​​
• How Data Science helps Businesses? [New]
• How do I crack data science interviews, and should I learn DSA for the same?

       Team development

• How to Manage Stakeholders Effectively? [New]
• ​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

What are my clients saying?