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AI Tinkerers - Seattle
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Team

MIRA (Market analysis and research assistant)

Project Concept

MIRA curates and condenses industry news into meaningful, personalized briefings—analyzing trends before they break, and adapting to your evolving interests. AI-powered intel agent with a flair for foresight. It scans RSS feeds and YouTube transcripts to deliver crisp, opinionated summaries tailored to you. Like a strategic butler who moonlights as a trend analyst, MIRA doesn’t just summarize the news—it tells you why it matters, what to watch next, and how to level up. It learns from your reactions and evolves with your curiosity. Less data dump, more executive briefing—without the corporate snooze

Entry

Status: Submitted

Last saved: May 18 at 1:32 PM PDT

Team Roster

Message board not available for this team yet.

Afreen Rahman Team Lead RSVP Approved

Software Engineer at Microsoft
I worked on creating the crew that would search for content based on user interests and create the succint summary to give to the UI layer.
Software engineer at Microsoft with a masters in AI. I've done full stack work and I'm beginning to be interested in the AI space and looking to hack on something cool and learn this weekend.
AI chatbots, AI solutions integration, front end development with React, Microsoft Teams AI platform, leveraging ChatGPT APIs
I am currently a front end developer on the Microsoft Teams AI platform. Lately I have been trying out different AI chatbots and trying to see where I can leverage AI solutions in my life.

Ismail Enchikalathil Enchikalathil Jelal RSVP Approved

Software Engineer at Amazon
Ismail worked the UI layer to make it use the input and render for user to give feedback on. He also integrated the user interests piece to give to the crew to iterate on.
Machine Learning Engineer with a proven track record in startups and large enterprises. Began career at Cisco, working on critical networking initiatives. Pursued a master's in Machine Learning, positioning myself to lead cutting-edge AI projects. Directed a startup team in developing advanced Automated Threat Detection solutions, showcasing ability to guide small teams to disruptive breakthroughs. At Amazon, led key aspects of Alexa's distributed ML platform, demonstrating capacity to manage large-scale, high-impact projects. Currently working on building tools and platforms to evaluate Gen AI models for diverse applications.
I'm deeply passionate about technologies that have a meaningful, real-world impact and improve people's lives. If you're working on building something like that, I'd love to chat about it.
Using the power of Gen AI to help me with Software Engineering

Vaibhav Kaushik RSVP Approved

Data Scientist at PGE
Vaibhav worked on creating the crew that would search for content based on user interests and create the succint summary to give to the UI layer.
Accomplished Data Scientist with 6 years of experience in AI/ML solutions, specializing in Computer Vision (CV), Natural Language Processing (NLP), and Predictive Analytics. Skilled in leading end-to-end projects using Python, PyTorch, AWS, and MLOps to deliver measurable business impact and improve operational efficiency.
I want to learn more about LLMs. I have not had the chance to create an agent yet or work on LLM core as such. I plan to learn the basics before the hackathon and apply those to get super smart in the field.
I have worked at PGE till 4 months back. I am waiting for my work permit to get through and looking out for new jobs. My work was on identifying any defect in electrical equipments using computer vision. I have worked on NLP before that.

Gerardo Moreno RSVP Approved

Software Engineer at Microsoft
Gerardo worked the UI layer to make it use the input and render for user to give feedback on. He also integrated the user interests piece to give to the crew to iterate on.
I'm a SWE at Microsoft where I develop AI solutions for real-time incident detection and correlation in large-scale systems. I contribute to open source agentic libraries and tinker about what's possible
Large language models inner workings AI for education Agentic Workflows
Developing new UI/UX to understand and learn from code