Suresh Kumar Pallapothu

Cloud Ops leader (18+ yrs) at Zadara, building 24x7 command centers on AWS, GCP & Azure. Founder, Vimura. I explain AI, LLMs, RAG and quantum in plain language. Blog: sureshpallapothu.in

Hyderabad, India Joined on Oct 1, 2026 https://sureshpallapothu.in

Education

Masters

Work

Director of Cloud Operations Zadara / Founder at Vimura

Suresh Kumar Pallapothu

Oct 16

Day 16: Local Model Execution — Running Open-Weight LLMs Securely with Ollama and vLLM

#ai #ollama #vllm #30dayaiseries

4 min read

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Suresh Kumar Pallapothu

Oct 15

Day 15: Introduction to AI Infrastructure — Hardware, Runtimes and Compute

#ai #infrastructure #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 14

Day 14: RAG Evaluation and Hallucination Guardrails

#ai #rag #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 13

Day 13: Retrieval-Augmented Generation (RAG) — Chatting with Proprietary Documents

#ai #rag #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 12

Day 12: Vector Databases — Storing and Searching Enterprise Knowledge

#ai #vectordatabase #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 11

Day 11: Embeddings and Vector Representations — How Machines Map Meaning

#ai #embeddings #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 10

Day 10: Tokenization, Context Windows and Cost Optimization

#ai #tokens #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 9

Day 9: Advanced Prompt Engineering — Few-Shot, Chain-of-Thought and Structured JSON

#ai #promptengineering #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 8

Day 8: Introduction to LLMs & The Modern AI API Landscape

#ai #llm #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 7

Day 7: Measuring Success — Understanding Accuracy, Precision, Recall and F1 Scores

#ai #modelevaluation #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 7

Day 6: Data Preprocessing — Cleaning the Messy Reality of Enterprise Data

#ai #datapreprocessing #30dayaiseries

6 min read

Suresh Kumar Pallapothu

Oct 5

Day 5: The Math Behind the Magic — Why Linear Algebra and Probability Matter

#ai #math #30dayaiseries

6 min read

Suresh Kumar Pallapothu

Oct 4

Day 4: The AI Project Lifecycle — From Raw Data to Production Deployment

#ai #mlops #30dayaiseries

6 min read

Suresh Kumar Pallapothu

Oct 3

Day 3: Inside Neural Networks — The Engine of Modern Deep Learning

#ai #deeplearning #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 2

Day 2: How Machines Actually Learn — Supervised, Unsupervised and Reinforcement Learning

#ai #machinelearning #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 2

Day 1: Demystifying AI — From Buzzword to Business Logic

#ai #machinelearning #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 1

Rethinking AI: Why We Need a "Human First, Machine Second" Mindset

#ai #leadership #futureofwork

3 min read

Suresh Kumar Pallapothu

Oct 1

AI vs. Quantum Computing: Different Technologies, Bigger Together

#ai #quantumcomputing #futureoftech

4 min read

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Suresh Kumar Pallapothu

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Day 16: Local Model Execution — Running Open-Weight LLMs Securely with Ollama and vLLM

Want to connect with Suresh Kumar Pallapothu?

Day 15: Introduction to AI Infrastructure — Hardware, Runtimes and Compute

Day 14: RAG Evaluation and Hallucination Guardrails

Day 13: Retrieval-Augmented Generation (RAG) — Chatting with Proprietary Documents

Day 12: Vector Databases — Storing and Searching Enterprise Knowledge

Day 11: Embeddings and Vector Representations — How Machines Map Meaning

Day 10: Tokenization, Context Windows and Cost Optimization

Day 9: Advanced Prompt Engineering — Few-Shot, Chain-of-Thought and Structured JSON

Day 8: Introduction to LLMs & The Modern AI API Landscape

Day 7: Measuring Success — Understanding Accuracy, Precision, Recall and F1 Scores

Day 6: Data Preprocessing — Cleaning the Messy Reality of Enterprise Data

Day 5: The Math Behind the Magic — Why Linear Algebra and Probability Matter

Day 4: The AI Project Lifecycle — From Raw Data to Production Deployment

Day 3: Inside Neural Networks — The Engine of Modern Deep Learning

Day 2: How Machines Actually Learn — Supervised, Unsupervised and Reinforcement Learning

Day 1: Demystifying AI — From Buzzword to Business Logic

Rethinking AI: Why We Need a "Human First, Machine Second" Mindset

AI vs. Quantum Computing: Different Technologies, Bigger Together