Zeeshan Ahmad

AI Engineer focused on deep learning and multi-agent systems.

[Hassan Abbasian @HassanAbbasian]

Imagine how proud overseas Pakistanis must feel seeing their country praised worldwide for saving millions of lives. Peak

[Zeeshan Ahmad @zeeshier]

@also_priyanka connected

[Zeeshan Ahmad @zeeshier]

@elonmusk it's not available in Pakistan

[Zeeshan Ahmad @zeeshier]

@elonmusk In the future, training large models may not need GPUs—just like 5MB once filled a huge box, and now 1TB fits on an SD card.

[Zeeshan Ahmad @zeeshier]

Just completed my AI Engineer Internship at Alpha Network 🚀
Built VistAI 🧠👁️ – an AI-powered visual assistant combining computer vision + NLP.
Check it out 👉 https://t.co/AfStznFjub

#AI #Internship #ComputerVision #VistAI

[Zeeshan Ahmad @zeeshier]

🚀 𝑱𝒖𝒔𝒕 𝒔𝒉𝒊𝒑𝒑𝒆𝒅 GitReadme AI — an AI tool that turns any GitHub repo into a clean, professional README in seconds!

🔗 Try it: https://t.co/3KRoDk1Acl
💻 Code: https://t.co/ZTLBtWsWDU

#LangChain #LLM #FastAPI #GitHub #OpenSource #AItools #Zeeshier #AIProject #GenAI

[Zeeshan Ahmad @zeeshier]

"Let’s build, learn, and grow together — AI folks, my DMs are open!"

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#ArtificialIntelligence #MachineLearning #AI #ML #Connect

[Zeeshan Ahmad @zeeshier]

@codey_girl that's semester project of Programming Fundamentals Course

[Zeeshan Ahmad @zeeshier]

𝐄𝐢𝐝 𝐌𝐮𝐛𝐚𝐫𝐚𝐤!

Wishing you and your loved ones a joyous and blessed Eid filled with happiness, peace, and prosperity. May this special day bring you endless blessings and strengthen the bonds of love and togetherness.

– ᴢᴇᴇꜱʜᴀɴ ᴀʜᴍᴀᴅ

#EidUlFitr #EidMubarak2025

[Zeeshan Ahmad @zeeshier]

🚀 Another 100 Days Streak on GitHub! 💯

Consistency fuels progress, and I’ve just hit another 100-day streak of coding, learning, and building in Machine Learning & AI!

#GitHubStreak #100DaysOfCode #MachineLearning #AI #DeepLearning #KeepBuilding #Consistency

[Zeeshan Ahmad @zeeshier]

🚀 Exciting News!

I've officially become a Kaggle Notebook Expert! 🏆📊

Big thanks to the Kaggle community for the support & feedback. Excited to keep sharing insights on ML, Data Science, and NLP!

#Kaggle #MachineLearning #DataScience #DeepLearning #Python

[Zeeshan Ahmad @zeeshier]

🚀 AI-powered Sentiment Analysis for Movie Reviews! 🎬

Built a ML model to classify IMDb reviews as positive or negative, helping businesses analyze customer feedback at scale.

🔗 Try it now: https://t.co/UgxgJ5GbsQ

#AI #SentimentAnalysis #NLP #AIProjects #MachineLearning

[ksa 🏴‍☠️ @kosa12m]

I never thought this would take my job.

[Zeeshan Ahmad @zeeshier]

@Unnati_builds24 yeah, absolutely right! A strong foundation in math helps in truly understanding the underlying principles behind models rather than just using libraries as black boxes."

[Marktechpost AI @Marktechpost]

Meet AI Co-Scientist: A Multi-Agent System Powered by Gemini 2.0 for Accelerating Scientific Discovery

Researchers from Google Cloud AI Research, Google Research, Google DeepMind, Houston Methodist, Sequome, Fleming Initiative and Imperial College London, and Stanford University School of Medicine have proposed an AI co-scientist, a multi-agent system built on Gemini 2.0 designed to accelerate scientific discovery. It aims to uncover new knowledge and generate novel research hypotheses aligned with scientist-provided objectives. Using a “generate, debate, and evolve” approach, the AI co-scientist uses test-time compute scaling to improve hypothesis generation. Moreover, it focuses on three biomedical domains: drug repurposing, novel target discovery, and explanation of bacterial evolution mechanisms. Automated evaluations show that increased test-time computation consistently improves hypothesis quality.

At the core of the AI co-scientist system lies a coalition of specialized agents orchestrated by a Supervisor agent. There are multiple types of specialized agents. Starting with the Generation agent, it initiates research by creating initial focus areas and hypotheses. Further, the Reflection agent serves as a peer reviewer, critically examining hypothesis quality, correctness, and novelty. The Ranking agent implements an Elo-based tournament system with pairwise comparisons to assess and prioritize hypotheses. The Proximity agent computes similarity graphs for hypothesis clustering, deduplication, and efficient exploration of conceptual landscapes. The Evolution agent continuously refines top-ranked hypotheses. Finally, the Meta-review agent synthesizes insights from all reviews and tournament debates to optimize agent performance in subsequent iterations.......

Read full article: https://t.co/VEAgTE79U7

Paper: https://t.co/8aHaREVg9z

@GoogleAI

[Zeeshan Ahmad @zeeshier]

As real-time model fine-tuning evolves, we must ensure robots don’t learn harmful behaviors from real-world data. In military applications, for instance, unchecked learning could lead to dangerous actions.
#AI #Robotics #MachineLearning

[Zeeshan Ahmad @zeeshier]

🚀 ChatGPT Search is here! 🌐

Now featuring real-time web access for accurate, timely responses.

🔑 Key Features:

Real-Time Info

Source Citations

Enhanced Experience

#ChatGPT #OpenAI #ChatGPTSearch #ArtificialIntelligence #WebSearch

[Zeeshan Ahmad @zeeshier]

120 Mind-Blowing AI Tools to Shape Your Workflow

#ArtificialIntelligence #AI #DataScience #MachineLearning #GenerativeAI

[Zeeshan Ahmad @zeeshier]

"Share my new Machine Learning Project on Crop Prediction! 🌱🚜

Using MachineLearning to predict the best crops based on soil factors like Nitrogen, Potassium, Phosphorus, and pH.

#ArtificialIntelligence #AI #MachineLearning #Project

https://t.co/xWTjg5Rodh