Software Engineer and Volunteer Trainer
2 years of experience
Founder - Menlo Park Lab
I have worked as a Data Scientist and an MLE since 2019, and have deployed many different ML models to production. I have worked primarily with time series data, and deployed ML applications for manufacturing, saving over $2 million per year in manufacturing waste. I have also helped build infrastructure for ML deployment used in healthcare applications. Currently, exploring building AI-based companies.
Software Engineer | Computer Programmer
I am Muhammad Arslan Bodla From Pakistan. I am MSCS In education. Currently I am working as Assistan Computer Programmer In MCUT DGK.
Data Scientist, Machine learning Pracitioner
I am Electrical Engineering graduate, Interested in AI. currently building AI based products and learning new things during this quest.
I am CS Graduated and currently studying the Master of Artificial Intelligence at Air University. I accomplished myself in different Hackathons. In cohere Hackathon, our Team Menlo Park Lab with project Ask Quran was winner. In Amadeus Hackathon, I won business class ticket and 1-month internship at Etihad Aviation Group. I take a part in Advent-of-Code 2022 first time, a distinct 25-day international coding competition & I was placed among the top 5 competitors on the Leaderboard of my own country. I also earned LeetCode Study Plan & Data Structure Badge. Least but not last, I solved 100+ LeetCode problems. I have diverse set of expertise & skills as well enthusiastic to learn new things.
Our goal is to develop a system that can take documents in any language and allow users from different parts of the world with different languages to interact with those documents. This can help spread knowledge without any language barrier. We are first testing it out with Quranic text, which is in Arabic, and building a chatGPT-style bot for question answering. In future, we would like to expand it to additional documents in any language. We first perform embedding of the text using Cohere's multilingual embed model and save those embeddings in a vector database, Pinecone DB in our case. We then take user queries and also embed them and perform a similarity-based search to provide the most relevant results based on the query. The app is currently deployed and publicly available. Streamlit app link: https://taqihaider7-tafsir-quran-sementic-search-llm-app-fwh2if.streamlit.app/
🗓️ This will be a 7-days of hacking and fun from 9-16 December 💻 Build with the latest AI tools from OpenAI to create innovative new apps 💡 Work with top AI professionals and learn from them ⚒️ Create your AI app by combining GPT-3, Codex, Dalle-2, and Whisper 🐱💻 Register now and let's get started!
🗓️ This 7-day virtual hackathon from January 27 to February 3 will be your time to shine! 💻 Construct AI apps with the latest LLM-powered technology from Cohere and try the newly released Multilingual Text Understanding model ✔️ There's no prerequisite level. Just starting out with AI? Or perhaps you're a veteran Data Scientist? A Designer? A Business Developer? We want you and your domain expertise! 🐱💻 Sign up now for free and let's get going!