Dr Kavya Saxena - Electrical engineering tutor - Bengaluru

1^st lesson free

Dr Kavya Saxena

5 (1 review)

Rate R509
Response 1h

5 (1 review)

R509/h

1^st lesson free

Electrical Engineering

PhD graduate from IIT Kanpur offering research-focused mentoring in ML, LLMs, and Speech Processing.

Name: Dr Kavya Saxena
Address: Bengaluru, ZA
Telephone: undefined
Price range: R509

Electrical Engineering

Lesson location

- online

About Dr Kavya Saxena

I am a PhD graduate from IIT Kanpur with research experience in Machine Learning, LLMs, Speech Processing, and AI. I enjoy helping students understand complex concepts, explore research, and build the confidence to solve problems independently. I want to share my knowledge because I believe good guidance can make research much more approachable and rewarding.

About the lesson

Research-Oriented Machine Learning & AI Mentoring — From Fundamentals to Research Projects

Are you a graduate student, an undergraduate interested in research, or an aspiring researcher looking to go beyond simply learning Machine Learning and AI?

I offer research-oriented mentoring in Machine Learning, LLMs, RAG systems, Speech Processing, and related areas of AI. My goal is not just to teach you how to implement models, but to help you develop the ability to read research papers, formulate problems, design experiments, evaluate models, and turn ideas into meaningful research projects.

# What can we work on?

Depending on your background and goals, we can cover topics such as:

* Machine Learning & Deep Learning — fundamentals, model architectures, training, evaluation, and experimentation
* Large Language Models (LLMs) — transformers, prompting, fine-tuning, evaluation, and practical applications
* Retrieval-Augmented Generation (RAG) — embeddings, vector databases, retrieval strategies, reranking, generation, and RAG evaluation
* Speech Processing & Speech AI — ASR, speech recognition, speech representations, speech-language models, and evaluation
* Research methodology — literature reviews, identifying research gaps, hypothesis formulation, experiment design, and result analysis
* Research papers — how to read papers critically, reproduce experiments, understand methodology, and identify opportunities for improvement
* Practical research implementation — Python, PyTorch, Hugging Face, experimentation, debugging, and building reproducible research pipelines

# How will the classes work?

I don't follow a fixed syllabus for every student. The sessions are tailored to your current level and research goals.

A typical learning path might look like:

1. Understand → 2. Read → 3. Implement → 4. Experiment → 5. Analyse → 6. Research

We first build the necessary conceptual foundation, then study relevant research papers and implement the underlying ideas. From there, we design experiments, compare approaches using appropriate metrics, analyse failures, and discuss improvements.

For students already working on a research project, we can instead focus directly on their problem — for example, understanding a difficult paper, designing an experiment, debugging an implementation, evaluating a model, or deciding how to approach a research question.

# Who is this for?

This is particularly suitable for:

* Undergraduate students who want to get started with AI research
* Master's students preparing for a thesis or research project
* PhD students looking for technical or methodological guidance
* Students preparing for research internships
* Anyone who wants to move beyond tutorials and understand how modern AI research is actually done

You don't need to be an expert already. What matters is having the curiosity and willingness to learn.

# What makes my approach different?

I believe research is best learned by doing, not by memorising concepts.

Rather than simply explaining a model and moving on to the next topic, I encourage students to ask:

Why does this method work? What are its limitations? How should we evaluate it? What happens if we change something? Why did the experiment fail? Can we design a better experiment?

The aim is to gradually make you independent in solving research problems — so that eventually you can read a new paper, understand its contribution, reproduce its methodology, and formulate your own ideas without depending on step-by-step guidance.

Whether you are just exploring AI research or already have a specific project in mind, the sessions can be structured around your goals, background, and research interests.

Recommendations

Recommendations are written by the tutor's friends, family, and acquaintances.

A

Abhineet

I’ve found Kavya to be an excellent mentor & researcher with a flair for explaining complex concepts with both depth & precision. She is quick in grasping the underlying doubts of her mentees & can teach depending upon where the learner is at in his/her journey. I’m glad to have had the experience of learning from her & getting the much needed guidance & clarity at the right time in my academic endeavours. I strongly recommend her & wish her all the best!
Read more

A
Abhineet
I’ve found Kavya to be an excellent mentor & researcher with a flair for explaining complex concepts with both depth & precision. She is quick in grasping the underlying doubts of her mentees & can teach depending upon where the learner is at in his/her journey. I’m glad to have had the experience of learning from her & getting the much needed guidance & clarity at the right time in my academic endeavours. I strongly recommend her & wish her all the best!
See more recommendations

Rates

Rate

R509

Package rates

5h: R2035
10h: R4239

free lesson

The free first lesson with Dr Kavya Saxena allows you to get to know the tutor and discuss your needs and expectations.

45min

online

R509/h

Details

Cancellation fee of the classes : 1000/-

PhD graduate from IIT Kanpur offering research-focused mentoring in ML, LLMs, and Speech Processing.

Lesson location

About Dr Kavya Saxena

About the lesson

Recommendations

Rates

Rate

Package rates

free lesson

online

Details

Similar Electrical Engineering tutor profiles

Babalwa

Jason

Ibikunle

Goodness

Haritha

Mpho

Tharun

Sibulele

Msimamisi

Marvellous

Olive

Athenkosi

Mpho

Lethukuthula

Vuyiswa

Jason

Nkosinathi

Lazarus

Khan

Boitumelo

PhD graduate from IIT Kanpur offering research-focused mentoring in ML, LLMs, and Speech Processing.

Lesson location

About Dr Kavya Saxena

About the lesson

Recommendations

Rates

Rate

Package rates

free lesson

online

Details

Similar Electrical Engineering tutor profiles

Babalwa

Jason

Ibikunle

Goodness

Haritha

Mpho

Tharun

Sibulele

Msimamisi

Marvellous

Olive

Athenkosi

Mpho

Lethukuthula

Vuyiswa

Jason

Nkosinathi

Lazarus

Khan

Boitumelo

Share

Verified tutor profile

levels

Languages in which the lesson is available

Reviews

Évaluations

Recommendations

free lesson

Report this advert