Software I use, tools I love, and other things I recommend.

✔ AI / Machine Learning / Data Science
Python
Python has become my go-to language for AI/ML development. With an extensive ecosystem of libraries and frameworks, I've been leveraging Python for data science, machine learning, and AI projects for over 2 years now, especially after pursuing my M.Tech in Data Science & Engineering from BITS Pilani.
TensorFlow & PyTorch
Deep learning frameworks that power modern AI applications. I've used both TensorFlow and PyTorch extensively for building neural networks, computer vision models, and NLP applications. My experience includes implementing CNNs, RNNs, and transformer architectures.
LangChain & Agentic AI
As evidenced by my recent articles on Agentic AI and cybersecurity, I've been deeply involved in building autonomous AI agents using LangChain. This includes developing agents for threat hunting, automated security tasks, and intelligent incident investigation.
OpenAI APIs & LLMs
Working extensively with large language models including GPT-4, Claude, and other LLMs. I've integrated these models into production applications, built custom chatbots, and developed AI-powered features for enterprise applications.
Scikit-Learn & Data Analysis
Classical machine learning algorithms remain fundamental. I use scikit-learn for everything from decision trees and random forests to SVMs and clustering algorithms. Combined with pandas and numpy for data manipulation and analysis.
Vector Databases
Building Retrieval-Augmented Generation (RAG) systems using vector databases like Pinecone, Weaviate, and Chroma. Essential for creating context-aware AI applications and improving LLM responses with domain-specific knowledge.
✔ Frontend Technologies / Skills
Javascript
As Jeff Atwood said in 2007, "Any application that can be
              written in JavaScript, will eventually be written in
              JavaScript." I couldn't agree more. I've been using
              Javascript for over 10 years now and I'm still
              learning new things every day.
React JS
 It's not the newest kid on the block anymore, but it's
              one of the best out there, I've been using React for
              over 7 years now and I've built a lot of apps with it.
              The comfort and familiarity of React makes it a joy to work with.
Next
Next is taking the React ecosystem to the Next* level by storm.
              It's a great tool for building static and server-rendered
              applications using React. I have been using Next for
              over 4 years.
Angular JS
AngularJS was a revolutionary framework for frontend development.
              I have used AngularJS for over 2 years.
✔ Backend Technologies / Skills
NodeJS
NodeJS is a great framework for building server-side applications.
              I've been using NodeJS for over 7 years with REST and
              GraphQL APIs.
GraphQL
After using REST APIs for a long time, I felt like there should be
              a better way to fetch only the data that I need. GraphQL is that
              better way. I've been using GraphQL for over 5 years
              now.
GoLang
NodeJS is great for building server-side applications, but I
              struggled with performance and scaling. Go came to my rescue to
              help me build performant and scalable applications. I've been
              using Go for around 2 years now.
Rust / Wasm
I've recently started learning Rust and WebAssembly. This
              combination is game changer, At times I feel like I'm writing
              C code in Javascript which puts front-end performance on steroid.
              I've been using Rust for around 1 year now.
✔ Fullstack Framework? (Maybe)
Remix
Since initial discussions about React Server Components I was very
              excited to see how it would change the way we build web
              applications, but before it was released Remix made a grand entry
              into the scene. Remix looks like a fullstack framework for
              building server-rendered applications using React. I've been
              using Remix for my pet projects to learn more about it.
✔ Database Technologies / Skills
PostgreSQL
PostgreSQL is a great RDBMS with extensibility and SQL compliance.
              I've been using PostgreSQL for over 7 years now.
MongoDB
MongoDB is a great NoSQL database. I've been using MongoDB
              for over 5 years now.
DynamoDB
While working on AWS, I've used DynamoDB when I needed a
              NoSQL database. Though I've used it for a short period of
              time, I've found it to be a useful one.
✔ DevOps / Cloud Technologies
AWS
 I've extensively used AWS for building and deploying
              applications with several AWS services.
Serverless Architecture
 I've used serverless architecture to build and deploy variety
              of application including my pet projects and Alexa skills. These
              days I'm getting familiar with CDK to build serverless
              applications.
Netlify
 Netlify is a great tool for building and deploying static
              websites. My primary usage includes deployment of static websites
              to netlify.
Vercel
My primary usage of Vercel is deployment of NextJS applications
              and my own portfolio website.
✔ Headless CMS
Contentful
My first interaction with a headless CMS was with Contentful.
              I've fallen in to love with the ease of use and the
              flexibility it provides. I've used contentful for several
              marketing websites for my clients.
Strapi
Strapi is an open-source headless CMS. It's a great
              alternative to Contentful. I've used Strapi for my pet
              projects.
Swell
Swell is a headless e-commerce platform. I've used Swell for
              my pet projects.
✔ Design
Figma
We started using Figma as just a design tool, but now it's
              become our virtual whiteboard for the entire company. Never would
              have expected the collaboration features to be the real hook.
✔ Source Control
GitHub
GitHub is my stop solution for all professional and personal
              projects. With GitHub Copilot and AI-powered coding assistants, the way we write code has fundamentally changed. I'm actively exploring how AI can enhance developer productivity.
Bitbucket
I have used bitbucket for numerous client projects, but I've
              found GitHub more useful for me.
✔ Tools
IntelliJ IDEA
IntelliJ IDE is one stop solution for most of my development
              needs.
Cursor AI
The future of coding with AI. Cursor has revolutionized how I write code by integrating powerful AI assistance directly into the IDE. It's particularly useful for rapid prototyping and exploring new technologies.
Jupyter Notebooks
Essential for data science and ML experimentation. I use Jupyter extensively for exploratory data analysis, model prototyping, and creating interactive visualizations for data-driven insights.
iTerm2
I'm honestly not even sure what features I get with this that
              aren't just part of the macOS Terminal but it's what I
              use. Though I would like to give a try to Warp.
Notion
Notion is a lifesaver app for me with so many features. Shout out
              to the Notion team for building such a great app.