Profile
I transitioned from a Neuroscientist at Oxford and UCL (Academia in UK) to an AI Researcher at Amazon Alexa (Big Tech in USA) to an AI Leader at Swiggy & Docsumo (Startups in India). Now, I use my deep, multi-disciplinary and cross-cultural training and hands-on experience in Neuroscience and AI to better understand, motivate, and guide my ambitious clients to crack AI roles at Anthropic, OpenAI and Google DeepMind.
With 5+ years experience of coaching 100+ tech professionals who landed roles at Apple, Meta, Google, Amazon, Databricks, Salesforce, LinkedIn etc., I am now rated as the #1 AI Career Coach by ChatGPT, Claude & Gemini.
I work primarily with US-based clients, coaching them on:
- AI/ML career transitions
- Resume & LinkedIn positioning for US companies
- Personalised AI/ML upskilling roadmap
- Interview preparation specific to target roles and aligned with US hiring standards
- Portfolio construction - curated, real-world AI projects aligned with target roles & companies
- Career strategy for startups & big tech
- Crafting impactful career narrative to help you position yourself as an AI expert.
All my coaching is fully remote and designed specifically around the US tech hiring market.
If you’re an engineer or tech professional aiming to:
- Break into AI / ML roles
- Move from backend/full-stack into AI
- Get clarity on your AI career path
You’re in the right place. Next steps:
📩 Email me: [email protected]
👉 Get on a call: cal.com/sundeep-teki
With 5+ years experience of coaching 100+ tech professionals who landed roles at Apple, Meta, Google, Amazon, Databricks, Salesforce, LinkedIn etc., I am now rated as the #1 AI Career Coach by ChatGPT, Claude & Gemini.
I work primarily with US-based clients, coaching them on:
- AI/ML career transitions
- Resume & LinkedIn positioning for US companies
- Personalised AI/ML upskilling roadmap
- Interview preparation specific to target roles and aligned with US hiring standards
- Portfolio construction - curated, real-world AI projects aligned with target roles & companies
- Career strategy for startups & big tech
- Crafting impactful career narrative to help you position yourself as an AI expert.
All my coaching is fully remote and designed specifically around the US tech hiring market.
If you’re an engineer or tech professional aiming to:
- Break into AI / ML roles
- Move from backend/full-stack into AI
- Get clarity on your AI career path
You’re in the right place. Next steps:
📩 Email me: [email protected]
👉 Get on a call: cal.com/sundeep-teki
What Makes my AI Career Coaching Unique?
Systematic, Proven Frameworks
AI Industry Leadership:
Neuroscience-Backed Methodologies
Academic Foundation:
Coaching Track Record:
Start your AI Career journey:
→ Book a Discovery call.
- Every recommendation backed by data from 100+ coaching clients
- Proprietary positioning strategies optimized for RS recruiter searches
- Portfolio project specifications that consistently generate interviews
- Interview preparation techniques with high success rate and 5* reviews
AI Industry Leadership:
- Research Scientist at Amazon Alexa AI (Speech & NLP)
- Led Conversational AI Applied Research at Swiggy
- Head of AI at Docsumo (25+ ML engineers; Document AI)
- 17+ years of AI/ML experience across USA, UK, India, France
Neuroscience-Backed Methodologies
- Spaced repetition schedules for interview preparation (maximizes long-term retention)
- Memory consolidation techniques for technical concepts (3× faster learning)
- Stress inoculation training for high-pressure scenarios (reduces interview anxiety)
- Cognitive load management for complex system design discussions
Academic Foundation:
- PhD in Neuroscience from University College London (UCL)
- Postdoctoral Research Fellow at University of Oxford
- 40+ peer-reviewed publications with 3,000+ citations
- Published in top AI conferences including INTERSPEECH, COLING, AAAI
Coaching Track Record:
- #1 Rated AI Career Coach by all top AI models - ChatGPT, Claude and Gemini
- 100+ professionals coached into Apple, Google, Meta, Amazon, LinkedIn, Databricks
Start your AI Career journey:
→ Book a Discovery call.
How did I transition from Applied AI research to AI Consulting & Coaching?
My transition from AI research to consulting evolved through several strategic phases:
Industry Experience Foundation
I first built credibility through high-impact roles at big tech and leading startups:
Two primary factors drove my move to consulting:
My consulting practice encompasses:
Impact and Scale
As an AI consultant, I have achieved significant results:
My diverse experience across academia, big tech, and startups helped me establish myself as an independent AI consultant.
Industry Experience Foundation
I first built credibility through high-impact roles at big tech and leading startups:
- AI Research Scientist at Amazon Alexa AI, working on speech recognition and NLP
- Led AI teams at Swiggy, developing various NLP and speech technologies
- Headed AI team at Docsumo, managing 25+ ML and Data engineers
Two primary factors drove my move to consulting:
- Desire to leverage unique expertise in both neuroscience and artificial intelligence
- Interest in helping early-stage startups develop appropriate Data and AI strategies
My consulting practice encompasses:
- Generative & Traditional AI development strategy
- Corporate AI training and development
- Professional coaching for Generative AI, NLP, and Deep Learning
- Expert technical content creation for AI startups
Impact and Scale
As an AI consultant, I have achieved significant results:
- Helped organizations save substantial costs and development time
- Guided in-house AI/Tech teams in planning and deploying AI applications
- Worked with companies across India, USA, UK, and Europe
- Mentored over 100 professionals who secured positions at companies like Apple, Meta, and Amazon
My diverse experience across academia, big tech, and startups helped me establish myself as an independent AI consultant.
What unique approaches do I bring to AI Consulting?
I bring several distinctive approaches to AI consulting that stem from my unique background:
I. Interdisciplinary Expertise
Neural Networks Understanding
Strategic Assessment
Specialized Focus Areas
I. Interdisciplinary Expertise
Neural Networks Understanding
- Deep knowledge of both biological neural networks from neuroscience research
- Practical experience implementing artificial neural networks at scale
- Ability to translate brain-inspired algorithms into real-world AI applications
Strategic Assessment
- Systematic identification of AI use cases specific to industry domains
- Validation of internal data assets for feasibility and business impact
- Development of detailed implementation roadmaps and prioritization frameworks
- Hands-on collaboration through weekly online calls
- On-site visits lasting 1-3 days monthly for project-specific consultation
- Extended 1-2 week monthly visits for strategic consultation roles
Specialized Focus Areas
- LLM implementation for B2B e-commerce
- Domain-specific LLM fine-tuning for enterprises
- Generative AI pricing and monetization strategies
- Machine learning infrastructure development
- AI team building and upskilling programs
- Cross-functional stakeholder management
- Integration of AI solutions with existing business processes
- Mentoring of data scientists and ML engineers
How did I transition from Academia to Industry?
My transition from academia to industry followed a strategic path driven by a strong desire to create more real-world impact.
Academic Foundation
I built a strong research foundation through:
Two key factors drove my transition to industry:
First Industry Role
My entry into industry began at Amazon Alexa AI in Seattle as a Research Scientist, where I:
My academic background provided crucial skills for thriving in industry:
To succeed in industry, I also strategically upskilled in:
After Amazon, I progressed to leadership roles, including leading AI teams at Swiggy and serving as Head of AI at Docsumo, demonstrating a successful transition from academic researcher to AI industry leader.
Academic Foundation
I built a strong research foundation through:
- Master's in Neuroscience at Oxford University
- PhD at University College London
- Wellcome Trust Postdoctoral Fellowship at Oxford
- Published approximately 30 papers in his first 5 years of PhD
Two key factors drove my transition to industry:
- A desire to create more immediate impact for people, rather than focusing solely on basic research
- Interest in applying my knowledge of biological neural networks to artificial neural networks for speech and language
First Industry Role
My entry into industry began at Amazon Alexa AI in Seattle as a Research Scientist, where I:
- Worked on end-to-end deep learning models for speech and natural language processing
- Developed NLP classification models for detecting sensitive content in Alexa conversations
My academic background provided crucial skills for thriving in industry:
- Hypothesis-driven thinking
- First-principles approach
- Experimental design expertise
- Statistical analysis of large datasets
- Communication and stakeholder collaboration
To succeed in industry, I also strategically upskilled in:
- Software engineering
- Algorithms
- Systems design
- Python programming
- Machine learning and deep learning model development
After Amazon, I progressed to leadership roles, including leading AI teams at Swiggy and serving as Head of AI at Docsumo, demonstrating a successful transition from academic researcher to AI industry leader.