Skills

Key skills that define my professional identity.


Python

General-purpose programming language for scripting, automation, and ML.

Java

Object-oriented language for scalable backend and Android development.

TypeScript

Typed superset of JavaScript for scalable web applications.

JavaScript

Create interactive and dynamic web experiences.

React

Build interactive UIs with components and hooks.

Next.js

Full-stack React framework with SSR and static generation.

Node.js

JavaScript runtime for scalable backend services.

PyTorch

Deep learning framework for research and production.

AWS

Amazon Web Services cloud computing platform.

Docker

Containerization platform for deploying applications.

MongoDB

NoSQL database for flexible data storage.

Git

Version control system for tracking code changes.

LangChain

Framework for building LLM-powered applications with RAG.

LLMs & AI Agents

Building agentic systems with LangGraph, MCP, and the Claude API.

RAG

Retrieval-augmented generation with vector search and grounded citations.

Pandas

Data analysis and manipulation in Python.

Go

Statically typed language for high-performance concurrent systems.

SQL

Query language for relational databases.

C/C++

Low-level programming for performance-critical systems and applications.

Kotlin

Modern JVM language for Android development.

Bash

Shell scripting for automation and Linux tooling.

FastAPI

High-performance Python web framework for APIs.

Flask

Lightweight Python web framework for APIs and microservices.

TensorFlow

End-to-end open source platform for machine learning.

Express.js

Minimal Node.js framework for REST APIs.

Selenium

Browser automation for scraping and testing.

Kubernetes

Container orchestration for automating deployment.

Kafka

Distributed event streaming platform for real-time data pipelines.

PostgreSQL

Advanced open-source relational database system.

Redis

In-memory data store for caching and real-time applications.

Elasticsearch

Distributed search and analytics engine.

DynamoDB

Serverless NoSQL key-value database on AWS.

scikit-learn

Machine learning library for Python.

Amazon Bedrock

Managed AWS service for building with foundation models.

MLflow

Experiment tracking and model lifecycle management.

Qdrant

Vector database for semantic search.

Spring Boot

Java framework for production-ready enterprise applications.