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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. 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)
- 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
- 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
AI Writing
AI for Enterprise & Career Coaching for Executives & Professionals:
1. AI: Industry Use Cases
1.1 Emerging AI Paradigms
1.2 Advanced AI Techniques
1.3 Industry-Specific Applications
2.1 Emerging AI Roles (2025)
2.2 Technical Interview Mastery
2.3 Strategic Career Planning
2.4 Advice
3. AI: Leadership & Strategy
3.1 Enterprise GenAI Strategy
3.2 India-Specific AI Strategy
3.3 Building AI Teams
3.4 Corporate AI Implementations
3.5 MLOps Excellence
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
2.1 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
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?
3.4 Corporate AI Implementations
3.5 MLOps Excellence