Senior Research Engineer: Build Real-Time AI Avatars That Think, Act & React - Dex
Build real-time video diffusion agents at a London unicorn. Apply now.
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AI Engineer: Build Frontier Agents Reinventing Financial Modelling - Dex
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Team
artificial hackers
Project Concept
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Entry
Status: Submitted
Last saved: December 07 at 5:45 PM GMT
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Hiresh Bremanand Team Lead RSVP Approved
Student at -
coded the frontend and integration with elevenlabs.
20, student, ai hacker, engineer. love coding ai apps. enjoy reading.
AI web agents, AI hardware, AI agents, open to interesting projects
-currently hacking on side projects on ai agents, ai browser agents, llms.
Hai Le RSVP Approved
Undergraduate Student at SUTD
n/a
π Hi, Iβm Le Viet Hai (Alex), an enthusiastic Data Science and Machine Learning practitioner with a passion for using AI to drive impactful solutions. With a strong foundation in Machine Learning acquired through courses at DeepLearning.AI, I am proficient in training models using PyTorch and applying Natural Language Processing (NLP) techniques.
π― Currently, I am focused on enhancing my skills to excel in upcoming internship opportunities. I'm dedicated to mastering algorithms on the LeetCode platform, understanding complex model architectures, and refining my problem-solving techniques to tackle real-world challenges.
π My ultimate goal is to leverage my expertise in AI to create innovative solutions that improve lives. Letβs connect and explore opportunities to collaborate in the ever-evolving world of technology!
Work centers on multimodal LLM evaluation for parent-child joint attention (CHI 2025 paper). Projects involve building PyTorch models for time-series/CV analysis (SleepApneaECG) and implementing transformer models (BERT/RoBERTa) for NLP (KC_Text_Generation_AI4SOL). He is also deploying large-scale inference using LLaVA/Gemini models and Vertex AI infrastructure (SeekDeepSubmission workflow).
Anthony Sundar Akshath Reddy Yennam RSVP Approved
Student at Imperial College London
Coded the agent
Akshath Reddy Yennam is an Undergraduate Computer Science Student at Imperial College London, with 2 years of experience in Applied AI engineering. He specializes in Python/TypeScript, real-time AI pipelines, vector-search RAG systems, and multi-agent architectures.
Applied AI engineering, real-time AI pipelines, vector-search RAG systems, multi-agent architectures (LangGraph/DeepAgents), junior ML engineer roles, research-engineer roles, full-time/contract work.
Projects include `deep_research` and `summit`. Current work focuses on building multi-agent research systems (LangGraph/DeepAgents), implementing vector-search (Qdrant) RAG pipelines, and developing production-oriented ML prototypes using Python/TypeScript, PyTorch, and TensorFlow for real-time AI pipelines.