AI Services
Coaching
Rated as #1 Career Coach for AI by ChatGPT, Claude & Gemini

I provide 1-1 AI Career Coaching for 4 roles (read why and how):
- Forward Deployed Engineer
- Research Engineer
- Research Scientist
- AI Engineer
1. Are you currently looking for guidance to build a career in AI?
  • Seeking 1-1 coaching for AI career guidance and job interview preparation?
  • Targeting or preparing for (Gen)AI/Research/Applied Scientist or Manager roles?
  • Struggling to crack (Gen)AI/LLM/ML Technical and System Design interviews?
  • Unable to confidently present your work and communicate well in interviews?
  • ​Seeking personalised mock interviews specific to your role and company?
  • A non-technical professional seeking personalised coaching to upskill in AI?​

2. How to apply for my Coaching program?
  1. Get in touch with me via email at [email protected] or my calendar
  2. We will connect on a 15 mins introductory call to discuss your career goals and coaching requirements
  3. I will prepare a custom coaching program describing the roadmap, fees and the terms of engagement
  4. We finalise the agreement and you pay the fees before starting the coaching program​
  5. We meet online for regular 1-1 video calls for the coaching sessions as described below

3. Pricing
  • My pricing for 1-1 personalised coaching is based on an hourly pricing model for a maximum of 2-3 coaching sessions
  • For longer coaching programs (2+ months), I offer a monthly subscription model at a discount to the hourly rate.
  • My coaching fees varies for each client as per their unique career goals, target roles, companies, timelines etc.
  • ​For candidates based in countries other than the US, e.g. like India, my pricing is adjusted to the local market. ​​

4. How does the Coaching program look like?
We meet online regularly as agreed to discuss your queries and plans regarding your:
  • positioning in the job market
  • profile (resume and LinkedIn);
  • target roles and companies;
  • job application strategy and resources;
  • interview preparation strategy and upskilling resources;
  • technical discussions related to advanced AI/ML topics that you're struggling with;
  • custom mock interviews for (Gen)AI/LLM/ML, system design, behavioral interviews;
  • ​final role selection, negotiation and career decision upon receiving job offers;
  • excelling in your new role and delivering quick wins in the first 90 days of your job.

Testimonials
I have coached 100+ candidates and helped them crack AI/ML roles (Data Scientist, Applied Scientist, Research Scientist) at top tech companies in the USA, including: Anthropic, Apple, Google, Meta, Amazon, Microsoft, ​Databricks etc. 
​Check out their testimonials.

Career Advice
I like to share my perspective on various topics related to careers in AI including upskilling, deciding what projects to work, which teams/companies to work at, best practices for excelling in your AI/ML jobs etc. You can see my career advice blogs here.
AI Experience
Document AI at Docsumo
At Docsumo, I head a team of 25+ ML and Data engineers to build a Document AI platform using NLP, LLMs, Computer vision:
​
  • State-of-the-art Transformer-based deep learning models and LLMs like GPT to extract information from structured and unstructured documents like invoices, bank statements, receipts, tax forms, insurance forms etc.
  • Synthetic Data pipeline to augment training data resulting in significant improvement in performance of above models
  • Chat with Documents powered by GPT-based models
  • Data Annotation operations - tracking and visibility of key metrics like accuracy, velocity and reviews
  • Table detection using classical ML models and structure recognition using deep learning models
  • Quarterly OKR planning for the entire ML org
  • Hiring of ML engineers and scientists
  • ML Team mentorship via regular team and 1:1 meetings
  • Business Strategy for the Intelligent Document Processing market
  • Industry engagement with US customers and SaaS VC firms in India
  • AI Stack: Transformer, BERT, LayoutLM, Large Language models like ChatGPT, GPT3.5+, open-source LMs like Llama2, Dolly; Python, PyTorch, Data augmentation, Synthetic Data, Data Annotation, Data Platform, ML Platform, Table detection and structure recognition, Vector database, Document embeddings, Chat with Documents
AI Research at Amazon Alexa AI
At Amazon Alexa AI, I worked on advancing Alexa's Speech Recognition and Natural Language Understanding AI capabilities.
​
  • Developed state-of-the-art end-to-end sequence-to-sequence deep learning models for speech recognition
  • Trained Speech recognition deep learning models on 20000+ hours of data using distributed multi-host, multi-GPU training
  • Deployed high impact Deep learning NLP models deep learning models to detect offensive conversations between users and Alexa in multiple languages using Neural Machine Translation and Synthetic Data generation.
  • Mentored software engineers and interns on machine learning and deep learning
  • Founded Alexa AI blog followed by the Alexa leadership as well as 1500+ scientists & engineers across Alexa, AWS & Amazon
  • Contributed to 'Dive into Deep Learning' book
  • Published a paper at the Amazon Machine Learning Conference on detection of offensive and sensitive content in user interactions with Alexa in multiple languages 
  • Conducted research on homomorphic encryption, federated learning and privacy-preserving deep learning 
  • AI Stack: Transformer, BERT, Seq2Seq, AWS, EC2, CUDA, Python, Bash, Vim, Linux, Docker, TensorFlow, MXNet, NMT, AWS Translate, Sockeye, PyTorch, Fairseq, Tensor2Tensor, Data augmentation, Synthetic Text, Backtranslation
Applied AI at Swiggy
​​​I led the AI Team at Swiggy, India’s largest food ordering and delivery platform where I developed novel Deep Learning technologies for multiple NLP and Speech use cases like Chatbot, Intent recognition, Product Classification, Sentiment analysis of user reviews, Speech recognition for Hinglish customer service conversations, Voice sentiment analysis amongst others.
​
  • Managed cross-functional stakeholders across Product, Engineering, Business and Analytics teams and also defined, led and managed POCs with external startups and vendors.
  • Led Swiggy's first ever AI paper on Speech and Language Recognition accepted at INTERSPEECH2020 
  • Led team to win 2nd place in Microsoft's Challenge on 'Speech Technologies for Code-Mixing in Multilingual Communities' 
  • I led the AI team on a paper on identification of bad food quality descriptors in customer chat, at CODS-COMAD 2021​
  • ​NLU modeling using weak supervision to decode intent in code-mixed chat
  • Sentiment analysis to identify negative feelings, emotions and opinions in chat 
  • Language identification in code-mixed chat 
  • Predicting Social Media Escalations based on chat input
  • Classification of Products into multiple categories based on text inputs
  • Named Entity Recognition of various entities in chat conversations
  • AI Stack: Transformer, BERT, RoBERTa, DeepSpeech, AWS, EC2, s3, SageMaker, Python, Jupyter, Bash, Vim, Linux, Docker, TensorFlow, PyTorch, Snowflake
Papers

Gupta A, Sukumaran R, John K, Teki S (2021)
Hostility Detection and Covid-19 Fake News Detection in Social Media
CONSTRAINT Workshop, AAAI 2021 (non-archival) [link] [conference]

Brahma AK, Potluri P, Kanapaneni M, Prabhu S, Teki S (2021)
Identification of Food Quality Descriptors in Customer Chat Conversations using Named Entity Recognition 
CODS-COMAD 2021 Research Track. [link] ​​

​Vijjali R, Potluri P, Iyer S, Teki S (2020)
Two Stage Transformer model for Covid-19 Fake News Detection and Fact Checking
NLP for Internet Freedom Workshop co-located at COLING 2020 [link] [data] [conference] [video summary]

​Rangan P*, Teki S* (2020) [*Equal contribution as first authors]
Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification
1st Workshop on Spoken Language Technologies for Multilingual Communities, INTERSPEECH 2020 [link]

Teki S (2019)
Internationalization of NLP Models for Sensitive Content Detection in Alexa Utterances
Amazon Machine Learning Conference ​
Blogs
AI Leadership & Innovation Hub
This blog provides comprehensive insights on AI strategy, implementation, and career development. With 17+ years bridging academic research, industry applications, and leadership coaching, this hub serves executives, engineers, and organizations navigating the AI transformation.

Navigate by Your Role:
  • 🎯 CXO/Leader? → Start with AI Leadership & Strategy
  • 💼 AI Professional? → Explore AI Careers & Coaching
  • 🏢 Building AI Products? → Read AI Industry Use Cases 
  • 📊 Managing Data Teams? → Check AI Data & Governance​

1. AI: Industry Use Cases

1.1 Emerging AI Paradigms
1.2 Advanced AI Techniques
1.3 Industry-Specific Applications 2. AI: Careers & Coaching

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
4. AI: Data & Governance

4.1 Data Infastructure & Engineering
4.2 Data Quality
4.3 Data Governance & Culture 5. Team development
6. Miscellaneous Technical Resources
​Ready to Accelerate Your AI Career?
Don't navigate this transition alone. If you are looking for personalized 1-1 coaching to land a high-impact AI role in the US or global markets: Book a 1:1 Career Strategy Session
Any questions?
Email or get on a Call
​---
​-> Subscribe to my Substack Newsletter for AI career deep-dives
DeepSun AI — Newsletter Banner
DeepSun AI · Weekly Newsletter
AI Career Intelligence, every week
Frontier-lab hiring insights, interview intel & career advice.
350+
professionals
Subscribe →