Engineering & Thoughts

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Insights on Artificial Intelligence, Software Engineering, and the future of tech. Documenting my journey of building and breaking things.

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Latest Posts

Building an AI-Powered Ad Creator with Python & Gemini 2.0

Video content is king, but producing it at scale is expensive and time-consuming. What if you could just type a company name and get a marketing video in minute

2026-02-18
PythonGemini 2.0AI VideoFFmpegAutomation

Automating Venture Capital Scouting with Llama 3 & Jina AI

Venture Capital relies heavily on data, but finding and analyzing early-stage startups is often a manual, tedious process. I wanted to see if I could automate t

2026-02-15
Next.jsLlama 3Jina AIWeb ScrapingGroq

ResumeFit: Intelligent Resume Matching with TF-IDF & Scikit-Learn

## The Problem with Black Boxes

2026-02-14
DjangoNLPMachine LearningPython

Building a Production-Ready Binance Futures Trading Bot in Python

## Introduction

2026-02-14
PythonTradingBinanceCLI

Automating Content Creation: A 100% Free AI Video Pipeline

## The Vision: One Topic, One Video

2026-02-14
n8nAIAutomationPython

Mastering WhatsApp Automation with n8n and PostgreSQL

We've all been there—messages pinging at 2 AM, or getting distracted by chats when you're in deep work mode. I decided to solve this by building a **Smart Whats

2026-02-12
Automationn8nWhatsApp APIPostgreSQLWorkflow

Rendering 50k+ Rows: Optimizing React Data Grids

Handling large datasets in the browser is a classic frontend engineering challenge. When you dump 50,000 DOM nodes into a page, the browser grinds to a halt. In

2026-02-08
ReactPerformanceClean CodeFrontend

Engineering a Cinematic Portfolio: Framer Motion, RAG, and CI/CD

Building a portfolio is often a tradeoff between showing *what* you built and showing *how* you build. For version 2 of my portfolio, I wanted to bridge that ga

2026-02-06
Next.jsFramer MotionGitHub ActionsUI/UXRAG

Why I Built RepoSense: Analyzing GitHub Activity

Developers love data. We love optimized algorithms, fast databases, and clean code. But oddly, we often lack data on *how* we work. That's why I built **RepoSen

2026-02-05
Open SourceNext.jsAnalyticsGitHub API

Implementing Semantic Search in a Next.js Portfolio with Pinecone and Google AI

## The Problem: Beyond Keyword Search

2026-02-03
AISemantic SearchPineconeNext.jsVector DatabaseGoogle AI

Fraud Detection Using Machine Learning

## Detecting Fraud with Data, Not Guesswork

2026-01-29
Machine LearningFraud DetectionPythonData Science

Building a Real-Time Multi-User Face Recognition System Using LBPH

## Design and Implementation of a Real-Time Multi-User Face Recognition System Using LBPH

2026-01-28
Computer VisionC++OpenCVFace RecognitionAI

Lessons Learned While Debugging Real Next.js Production Errors

## Debugging Is Where Real Learning Happens

2026-01-27
Next.jsDebuggingWeb DevelopmentProduction

Implementing SEO in Next.js: Sitemap, RSS, and Robots.txt

## Why SEO Matters Even for a Portfolio

2026-01-26
Next.jsSEOWeb DevelopmentApp Router

Building My Portfolio with Next.js App Router

## Why I Decided to Build My Own Portfolio

2026-01-25
Next.jsPortfolioFrontendApp Router

AI ML and Deep Learning clearing the confusion once and for all

## Understanding AI, Machine Learning, and Deep Learning as a hierarchy rather than competing terms—from the broad AI umbrella to data-driven ML to neural-netwo

2026-01-25
AIDeep LearningML

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jadhavkrishna475@gmail.com

Based in India • Available Worldwide

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