Abhay - Python tutor - Bengaluru
1st lesson free
Abhay - Python tutor - Bengaluru

Abhay's profile, qualifications and contact details have been verified by our experts

Abhay

  • Rate S$20
  • Response 6h
  • Students

    Number of students accompanied by Abhay since their arrival at Superprof

    44

    Number of students accompanied by Abhay since their arrival at Superprof

Abhay - Python tutor - Bengaluru
  • 5 (5 reviews)

S$20/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Python
  • Artificial Intelligence

Teaching LLMs, RAG, LangChain, FastAPI | Microsoft Certified AI Engineer | 2 Yrs Exp | AI Engineer at Cisco

  • Python
  • Artificial Intelligence

Lesson location

Recommended

Abhay is a respected tutor in our community. They are highly recommended for their commitment and the quality of their lessons. An excellent choice to progress with confidence.

About Abhay

I Build Production AI Systems - Not Just Jupyter Notebook Demos

Hi, I'm Abhay - an AI Engineer with 2+ years of hands-on experience building enterprise-scale AI systems that deliver real business impact:

Production based platforms → ≈₹9 Cr annual savings
ML pipeline processing 20,000+ documents monthly → 94% accuracy
LLM-powered semantic search → 12,000+ queries/month across 4 business units
RAG systems with hybrid retrieval (vector + keyword) in production

Tech Stack I Use Daily:
• LLMs: GPT-4, Claude, Gemini, open-source (Llama, Mistral)
• Frameworks: LangChain, LangGraph, LlamaIndex
• Vector DBs: Redis Stack, Pinecone, ChromaDB, Elasticsearch
• Backend: FastAPI, Redis, PostgreSQL, MongoDB
• Deployment: Docker, Kubernetes, Azure, GCP
• MLOps: MLflow, Weights & Biases, CI/CD pipelines

What Makes Me Different:

Guest Speaker at National Faculty Development Program (900+ professors & researchers)
Published AI/ML researcher (ML security, Sanskrit NLP)
Amazon ML Challenge 2023: AIR 94 out of 26,008 participants
Mentored 9 engineers → 3 converted to full-time AI roles
Conducted 100+ technical interviews for AI/ML positions
Presented work projects to Dept. of Science & Technology (Govt. of India) & Mahindra Group CTO Mohit Kapoor & Mahindra AI CEO Bhuwan Lodha

Who Should Learn From Me:

→ Professionals building AI/ML portfolios for FAANG/startup roles
→ Developers wanting to add LLM/GenAI skills (hottest market right now)
→ Engineers transitioning from traditional ML to production GenAI
→ Founders evaluating AI implementation for their products
→ Students targeting top-tier placements with cutting-edge skills

I teach what YouTube tutorials skip: deployment, scalability, cost optimization, production debugging.

B.Tech CS (8.7 CGPA) | Microsoft Azure Data Scientist | Azure AI Fundamentals | Google & IBM Data Science Certified | LeetCode Knight (Top 4.77%) | 2 years work experience building application with a cost impact of ≈₹9 Cr for an MNC.

See more

About the lesson

  • All levels
  • English

All languages in which the lesson is available :

English

Production-Ready AI/ML Training - From Fundamentals to Deployment

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TRACK 1: ML FUNDAMENTALS → JOB-READY
(12-16 weeks | Best for beginners/intermediates)

Phase 1: Python + Math for ML (3-4 weeks)
• NumPy, Pandas - data manipulation at scale
• Linear algebra, probability, statistics (applied, not theoretical)
• Matplotlib, Seaborn, Plotly - visualization
• Git/GitHub for portfolio building

Phase 2: Classical Machine Learning (4-5 weeks)
• Supervised: Linear/Logistic Regression, Decision Trees, Random Forest, XGBoost
• Unsupervised: K-Means, DBSCAN, PCA, t-SNE
• Model evaluation: Cross-validation, metrics (precision, recall, F1, AUC-ROC)
• Feature engineering & selection
• Scikit-learn mastery
• Project: End-to-end ML pipeline with real dataset

Phase 3: Deep Learning (4-5 weeks)
• Neural networks from scratch (understand backprop deeply)
• TensorFlow/Keras & PyTorch
• CNNs: Image classification, object detection, transfer learning
• RNNs/LSTMs: Time series, sequence modeling
• Transformers introduction
• Project: Computer vision or NLP model

Phase 4: Production & Deployment (3-4 weeks)
• FastAPI for model serving (REST APIs)
• Docker containerization
• Cloud deployment (Azure ML, GCP Vertex AI)
• Model monitoring & versioning
• Basic MLOps (CI/CD for ML)
• Capstone: Deploy ML app accessible via API

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TRACK 2: GENERATIVE AI & LLMs
(8-12 weeks | Assumes Python + basic ML knowledge)

**This is the HOTTEST skill in 2026-27. Companies are desperately hiring.**

Module 1: LLM Fundamentals (2 weeks)
• Transformer architecture deep-dive (attention is all you need)
• Tokenization, embeddings, context windows
• OpenAI API, Anthropic Claude, Google Gemini
• Hugging Face ecosystem (models, datasets, spaces)
• Prompt engineering: zero-shot, few-shot, chain-of-thought, ReAct
• Cost optimization (model selection, caching, batching)

Module 2: RAG - Retrieval Augmented Generation (3 weeks)
• Why RAG > fine-tuning for most use cases
• Document processing: PDF, DOCX, HTML parsing
• Chunking strategies (recursive, semantic, sentence-window)
• Embeddings: OpenAI, Cohere, open-source (Sentence-BERT)
• Vector databases: Pinecone, ChromaDB, Weaviate, FAISS
• Hybrid search: Vector + BM25/Elasticsearch
• Reranking strategies
• Evaluation: RAGAS, custom metrics
• Project: Build RAG chatbot for custom knowledge base

Module 3: LangChain & Agentic AI (3 weeks)
• LangChain components: Chains, Agents, Tools, Memory
• LangGraph for stateful multi-step workflows
• Function calling & tool use
• Multi-agent systems
• Autonomous agents (plan-and-execute patterns)
• Project: AI agent that can browse web, query databases, generate reports

Module 4: Production LLM Systems (2-4 weeks)
• FastAPI microservices architecture
• Redis/PostgreSQL for conversation memory
• Rate limiting, quota management
• Authentication (OAuth, API keys)
• Streaming responses (SSE)
• Monitoring: Token usage, latency, cost tracking
• Guardrails & safety (prompt injection prevention)
• Capstone: Production-grade AI assistant with RAG + agents

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TRACK 3: AI/ML INTERVIEW PREP
(6-8 weeks intensive)

Week 1-2: ML Theory Deep-Dive
• 100+ most-asked ML interview questions
• Math refresher: Probability, linear algebra, calculus
• Bias-variance, regularization, optimization
• Model comparison frameworks

Week 3-4: Coding for ML Roles
• Python/Pandas/NumPy challenges
• SQL for data analysis
• LeetCode patterns (arrays, trees, DP basics)
• Take-home assignment walkthroughs

Week 5-6: ML System Design
• End-to-end ML system design framework
• Case studies: Recommendation, search ranking, fraud detection, feed ranking
• Scalability, latency, cost trade-offs
• A/B testing & experimentation platforms

Week 7-8: Mock Interviews
• Live technical rounds (I've conducted 100+ real ones)
• ML debugging scenarios
• Behavioral questions (STAR method)
• Salary negotiation tactics

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

WHAT'S INCLUDED:

• Live walkthroughs of my production systems (≈ ₹9Cr impact projects)
• Curated resource library (200+ papers, tutorials, GitHub repos)
• Resume + LinkedIn optimization for AI roles
• WhatsApp support (response within 24 hrs)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

TEACHING PHILOSOPHY:

• 80% hands-on coding, 20% theory
• Real messy datasets - not toy examples
• Build → Break → Debug → Understand
• Every project is portfolio-worthy & interview-ready

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Languages: English, Hindi

See more

Rates

Rate

  • S$20

Pack rates

  • 5h: S$101
  • 10h: S$202

Travel

  • + S$299

free lessons

This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.

  • 30mins

online

  • S$20/h

Similar Python teachers in Bengaluru

SuperprofPrivate lessonsPrivate Python tutor in Private Artificial intelligence tutor in
See more tutors

Verified degree

Abhay's profile, qualifications and contact details have been verified by our experts

levels

All levels

All languages in which the lesson is available

English

Review

All of our reviews are collected by us and are 100% reliable. They correspond to real lessons experienced by the students of Abhay.

Reviews

Evaluations include all certified reviews
as well as recommendations for Abhay

Recommendations

Recommendations come from relatives, friends and acquaintances of the tutor

free lessons

This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.

Report this ad

Describe the problem with this advert

About
All subjects
Cities
Blogs & Help