"I'm gonna be the King of AI." — probably me after too much coffee ☕
Last updated: November 29, 2025 at 00:55 UTC
Auto Keyboard Presser PRO is a powerful keyboard automation tool that allows you to record and replay keyboard sequences with ease. Whether you're looking to automate repetitive tasks or enhance your gaming experience, this tool has you covered with a modern UI, customizable playback options, and an emergency stop feature.
🎧 Audio Cleaner for Adobe After Effects A customizable silence remover script panel made for editors, voice-over artists, and anyone tired of trimming quiet parts manually.
An AI learning assistant built with Flask, using a local Mistral 7B LLM. It offers a smart chatbot, document analysis via Tesseract OCR for PDF Q&A, and a YouTube search tool to find educational videos, providing a comprehensive and personalized study support platform.
Toolmart React web - A modern, responsive e-commerce site built with React and Tailwind CSS. This Amazon-inspired platform for tools features a clean UI, dynamic product discovery, a full shopping cart, and smooth animations with Framer Motion for an engaging user experience.
Car Rental App - Deployment - A responsive web application built with React and Vite that displays a fleet of luxury cars. Users can dynamically filter and sort the collection to find their perfect vehicle. This project is optimized for a seamless deployment on Netlify.
This project is a complete full-stack application that serves a custom fine-tuned causal language model through a FastAPI backend and provides a sleek, real-time chat interface built with React and Vite.
This repository contains a collection of Python scripts and Jupyter Notebook examples demonstrating advanced techniques for building applications with Large Language Models (LLMs) using the LangChain framework and Google's Gemini models.
A conversational AI agent built using LangChain, Chroma, and Google Gemini, capable of retrieval-augmented generation (RAG) across multiple domains with persistent memory. This agent can process PDFs, index them into domain-specific vector stores, and answer user queries using both indexed documents and tools like a calculator.
This repository contains Jupyter/Colab notebooks exploring Low-Rank Adaptation (LoRA) for model fine-tuning and Retrieval-Augmented Generation (RAG) for question answering and similarity search. Each notebook is self-contained and demonstrates a distinct workflow, ranging from SST-2 classification and causal LM coding tasks to PDF-based Q&A
Talha Shaikh — talhatalha1971@gmail.com · LinkedIn · GitHub/noobhacker02
Summary
Versatile Full-Stack Developer & AI Engineer. I treat AI as a force multiplier — not a crutch — to build scalable web apps and conversational systems that actually help people. Expert at architecting React + Python products, embedding chatbots (Mistral 7B, Gemini 2.5), and building multi-agent RAG workflows.
Web Developer — Code Crafters Digital Solutions & Media Lab (Mumbai / Belgium) — 02/2024 – 06/2025
- Delivered 10+ client websites (React, WordPress), improved page load & mobile UX (≈30% better engagement metrics).
- Led UI/UX design, SEO integrations, and client communication for cross-border projects.
- Introduced AI-assisted workflows: prompt engineering, image/video generation, and AI-assisted coding.
Intern — Business Web Solutions — 06/2023 – 09/2023
- Implemented CI/CD + security checks, built responsive React UIs, and improved site performance across 5+ projects.
Data Science Intern — Cipher Byte Technologies — 01/2023 – 02/2023
- Validated classification models (Naive Bayes, Random Forest), performed EDA & outcome analysis.
Other: Web dev internships (2020–2022) + brief engineering role at L&T (2020).
- B.E. Computer Engineering (Honors in Cybersecurity) — Rizvi College of Engineering (CGPA: 8.11)
- Diploma — Computer Science, Thakur Polytechnic (93%)
- SSC — St. Thomas High School (82%)
- 1st — Hackover 3.0 (Game Dev event)
- Winner — SIH Internal Hackathon (RCOE)
- Runner-Up — Thakur Techfest
- Publications: AI-Powered Personalized Learning Assistant (IJIRT), Reliable Real-Time Storage Interface (JSRD)
Languages: Python, JavaScript, SQL
Frontend: React.js, React Native, Tailwind, Framer Motion
Backend: Flask, FastAPI, Django, REST APIs, PostgreSQL/MySQL
ML/AI: LangChain, HuggingFace, LoRA/QLoRA, RAG, GGUF, Mistral 7B, Gemini 2.5, Llama variants
Infra: Docker, CI/CD, GitHub Actions, AWS basics, NGINX
Tools: PyMuPDF, Tesseract, ChromaDB, Sentence Transformers, Botpress, Telegram API, SMTP/Email integrations
I'm driven, slightly dramatic, and motivated by getting better — sometimes my ego pushes me hard (in a good way). I overthink features until they're elegant, prefer API-first design, and I love turning messy client asks into solid products. I also enjoy anime and salty dev humor — low-key, dark, but still human.
I debug at 3 AM so future-me can keep sleeping — future-me has to appreciate the sacrifice.
- Email: talhatalha1971@gmail.com
- LinkedIn: https://linkedin.com/in/talha-shaikh-6334a2180
- GitHub: https://github.com/noobhacker02
- Portfolio: Portfolio