How to Fix LangChain OutputParserException in Production LLM Pipelines
When your LLM returns malformed JSON, the problem isn’t always the model. Here’s how to build structured, validated, and production-ready outputs with Pydantic and Instructor. Your LLM application works perfectly…
How to Prepare for TCS NQT in 10 Days: A Practical Coding & Aptitude Study Plan
To prepare for TCS NQT effectively in just 10 days, focus on mastering key coding patterns rather than trying to learn everything. Prioritize essential topics like number manipulation, strings, and…
How to Optimize Databricks Cluster Costs for Large-Scale ETL Pipelines
A practical guide to reducing cloud spend without sacrificing performance, reliability, or SLAs A Databricks ETL pipeline can be technically optimized and still be financially inefficient. You may reduce a…
20 Data Engineering Interview Questions You Should Know for Databricks & PySpark Roles- Part 4
This series emphasizes the importance of practical knowledge in Data Engineering interviews, focusing on scenario-based questions that assess candidates' ability to design and manage data pipelines. Key topics include pipeline…
20 Data Engineering Interview Questions You Should Know for Databricks & PySpark Roles- Part 3
Data Engineering interviews at mid-to-senior levels focus on complex real-world problems beyond basic SQL and ETL. Key topics include performance bottlenecks, data skew, and using SQL window functions like ROW_NUMBER(),…
AI Engineer Interview Questions — Part 3
A practical framework for debugging hallucinations in production RAG systems—from retrieval and chunking to prompts, generation, evaluation, and governance One of the most interesting questions I have seen in a…
The AI Engineer Interview Question That Wasn’t Really About Machine Learning
A practical framework for turning ambiguous business problems into production-ready ML solutions I recently came across an AI Engineer interview question that sounded deceptively simple: “Your movie is releasing next…
Databricks Data Engineering Interview Questions — Part 2: Advanced Spark, Delta Lake & Production Scenarios
In Part 1, we covered the fundamentals of Spark, PySpark, Databricks, DAGs, lazy evaluation, partitioning, data skew, salting, AQE, migration validation, and common PySpark coding questions. But experienced Data Engineer…
AI Engineer Interview Questions and Answers — Part 1
RAG, LLMs, Agentic AI, LangGraph, and Production GenAI AI Engineer interviews are no longer limited to questions like: “What is an embedding?” or: “What is RAG?” Interviewers increasingly want to…
The Pandas Warning That Looks Harmless but Can Break Your Data Pipeline
The article discusses the Pandas SettingWithCopyWarning, which arises when modifying a DataFrame's slice, creating ambiguity about whether the object is a view or a copy. It advocates for clear coding…
Reading Only the Parquet Files You Need From AWS S3 Using Dask
Stop scanning the entire S3 dataset when you only need a handful of Parquet files When working with large datasets on AWS S3, Parquet is one of the most popular…
Before Transformers: Why RNNs Could Never Scale to Modern AI- Part 1
Before self-attention changed AI forever, recurrent neural networks tried to solve sequence modeling. Here’s why they eventually hit a wall. This is Part 1 of a 5-part series on Transformers.…
20 Data Engineering Interview Questions You Should Know for Databricks & PySpark Roles
Data Engineering interviews now demand in-depth knowledge of Spark, PySpark, and Databricks beyond basic SQL and transformations. Candidates should understand concepts like Spark architecture, lazy evaluation, DAG, transformations, data skew,…
Stop Paying for Idle Servers: How I Built a Flask ML App That Costs Almost Nothing on AWS
Introduction Imagine you’ve built an amazing house price prediction website(flask ML App) using Flask and a machine learning model. The application works perfectly. Users enter details like location, area, number…
Why Your FastAPI Event Loop Freezes Under Load: The Hidden Battle Between AsyncIO and Scikit-Learn
Understanding Nested Parallelism,FastAPI, OpenMP Thread Contention, and the Right Way to Deploy CPU-Bound Machine Learning Models Imagine This… You have trained a Random Forest classifier using Scikit-Learn. Everything works perfectly…
Longest Consecutive Sequence in Python: O(n) Hash Set Solution Explained
What Is Longest Consecutive Sequence in Python? The Longest Consecutive Sequence in Python problem is one of the most popular coding interview questions asked by top technology companies such as…
PyTorch CNN Shape Mismatch Error: Fixing “mat1 and mat2 shapes cannot be multiplied
PyTorch CNN Shape Mismatch Error is one of the most common and frustrating issues faced by machine learning engineers and deep learning beginners. If you’ve encountered the dreaded: error while…
Counting Common Members Across Months in SQL
To analyze user activity across multiple months, a self-join approach in SQL is preferred over separate joins, as it optimizes performance significantly. By matching records on MemberID and counting members…
How to Join a Parameterized View in SAP HANA (And Fix the “Parameterized View with Unused Parameter” Error)
If you’re working with SAP HANA and trying to join a parameterized view with other tables, you may encounter the following error: The confusing part is that the view executes…
Inverting a Character Frequency Map in Python
Problem Statement Given a string containing lowercase English letters, compute the frequency of each character and then invert the mapping such that: Example Input Character Frequency Map Expected Output Understanding…