Sundeep Teki
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I am an AI Leader & Coach with experience designing, building and scaling AI products serving 100M+ customers across B2C and B2B enterprises. With 17+ years of experience, I excel at translating applied AI research into high-impact business applications.

My career spans diverse domains across countries - Big Tech at Amazon Alexa AI in the US, hyper-growth startups like Swiggy in India, and Academia during my research career as a Neuroscientist at Oxford and UCL.
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As a leader, I foster a culture of innovation, operational excellence, and deep scientific rigor aligned with business strategy. I excel at translating complex business goals into a clear AI strategy and roadmap. I have hired, built and mentored AI teams from scratch; developed and advised C-suite on AI Roadmap and Strategy; and collaborated with cross-functional stakeholders across Engineering, Product, Analytics and Business orgs.

AI Experience
- At Docsumo, I led a team of 25+ ML engineers to achieve 95%+ accuracy at a scale of 1M+ documents per month. 
- At Swiggy, I established the Conversational AI team and published the company's first AI paper in INTERSPEECH 2020
- At Amazon Alexa AI, I developed end-to-end speech recognition models on 10,000+ hour datasets and deployed NLP powered content moderation systems across European markets.

- 40+ research papers, 3200+ citations in top AI conferences (INTERSPEECH, AAAI, COLING)
- 2nd place, Microsoft's AI Challenge on Code-Mixed Speech Technologies
- Awarded Exceptional Researcher Visa by USA (O-1) and UK (Global Talent)
AI Career Coaching
​- Rated as #1 Coach for AI professionals by ChatGPT, Claude and Gemini
- I provide 1-1 premium coaching for professionals building a career in AI

- I've coached 100+ tech professionals who have secured roles at Apple, Google, Meta (US)
★ Checkout my new AI FDE Career Guide and 3-month Coaching Accelerator Program
​★ Book a discovery call​ to discuss your career goals and coaching requirements
From Coaching to Career Success For:
AI Scientists, ML Engineers, Data Scientists, Product Managers
Google
Apple
Meta
Amazon
LinkedIn
Salesforce
Twitter
Databricks
Google
Apple
Meta
Amazon
LinkedIn
Salesforce
Twitter
Databricks
AI Writing
AI for Enterprise & Career Coaching for Executives & Professionals:

1. AI: Industry Use Cases

1.1 Emerging AI Paradigms
  • Gemini 3 and the Dawn of System 2 AI
  • Small Language Models Are the Future of Agentic AI
  • Agentic AI
  • Medical Superintelligence

1.2 Advanced AI Techniques
  • Context Engineering
  • From Vibe Coding to Context Engineering
  • Agentic Context Engineering
  • Context-Bench - Evaluating Agentic Context Engineering
  • Prompt Engineering

1.3 Industry-Specific Applications
  • Nvidia's AI Moat in 2025: A Deep Dive
  • Mixtral - Mistral of Experts Large Language Model 
  • Knowledge Distillation: Principles, Algorithms & Applications      
  • Federated Machine Learning for Healthcare 
  • Covid or just a Cough? AI for Detecting Covid-19 from Cough Sounds 
  • Fact-checking Covid-19 Fake News
  • How to choose the best time series forecasting model?
  • AI & Web3 
  • What are Fake Reviews?   
  • TLDR: AI for Text Summarization & Generation of TLDRs                                       
  • AI-enabled Conversations with Analytics Tables​​

2. AI: Careers & Coaching

2.1 Emerging AI Roles (2025)
  • AI Forward Deployed Engineer
  • AI Research Engineer Guide: OpenAI, Anthropic and Google Deepmind 
  • Forward Deployed Engineer​
  • AI Automation Engineer
  • [video] How to Become an AI Engineer?

2.2 Technical Interview Mastery 
  • The Transformer Revolution: The Ultimate Guide for AI Interviews
  • How do I crack a Data Science Interview and do I also have to learn DSA?
  • [video] Mock Interview - Machine Learning System Design
  • [video] Mock Interview - Deep Learning
  • [video] Mock Interview - Data Science Case Study

2.3 Strategic Career Planning
  • AI Fluency in 2025: From Individual Upskilling to Organisational Change
  • GenAI Career Blueprint: Mastering the Most In-demand Skills of 2025
  • Impact of AI on the 2025 Software Engineering Job Market
  • AI & Your Career: Charting your Success from 2025 to 2035
  • AI Careers Revolution: Why Skills Now Outshine Degrees
  • Why Starting Early Matters in the Age of AI?

2.4 Advice
  • Young Worker Despair and Mental Health Crisis in Tech
  • The Manager Matters Most: Spotting Bad Managers during the Interviews
  • How To Conduct Innovative AI Research
  • [video] Economics and Pricing of Generative AI Models and Applications
  • [video] Large Language Models for India
  • [video] UCL Alumni - AI & Law Careers in India
  • [video] UCL Alumni - AI Careers in India
  • [video] AI Research Advice
  • [video] AI Career Advice

3. AI: Leadership & Strategy

3.1 Enterprise GenAI Strategy
  • The GenAI Divide: Why 95% of AI Investments Fail?
  • The COO's AI Blueprint: Spearheading Operational Excellence with Gen AI
  • Building a Winning Gen AI Strategy for Enterprises
  • How CXOs are actually using Generative AI
  • Gen AI Readiness: A Strategic Guide for Tech Startups 
  • Monetizing AI: The Economics and Pricing of GenAI
  • Quality vs. Cost of Large Language Models

3.2 India-Specific AI Strategy
  • Corporate Training in Generative AI for Indian Enterprises
  • India's AI Infrastructure Crisis: Holding Back its Talent
  • India's AI Paradox: Strengths vs. Gaps in the Stanford AI Index 2025
  • 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?
  • Reskilling India for an AI-First Economy

3.3 Building AI Teams
  • How to build AI Teams that Deliver?     
  • Recruiting AI/ML Engineers: Best Practices
  • How to hire Data Science teams?
  • How to Build a GenAI Team for your Startup? 
  • ML Engineer vs Data Scientist
  • Data Engineer vs Data Scientist 
  • Benefits of FAANG companies for Data Science & ML roles

3.4 Corporate AI Implementations
  • Developing AI/ML Projects for Business - Best Practices     
  • Building AI/ML products  
  • Why Corporate AI Projects Fail? Part 1                                   
  • Why Corporate AI Projects Fail? Part 2

3.5 MLOps Excellence
  • How to Automate MLOps? 
  • Top 10 MLOps tools                                                                    
  • Best Practices for Improving Machine Learning Models
  • The Case for Reproducible Data Science​
[email protected] 
​​  ​© 2025 | Sundeep Teki
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