Hi, I'm Deep Rathi - Deep Rathi is a forward-thinking AI Engineer focused on building high-speed, production-ready ML systems and pioneering Generative AI applications.
I thrive on engineering AI systems that deliver immediate, tangible results, especially in real-time environments. My passion lies in solving complex challenges and pushing the boundaries of Generative AI to revolutionize industries.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led development of a deep learning model for obstacle detection in autonomous driving at Binghamton University.
Currently building low-latency ML and Generative AI systems for real-time inference at Key AI.
Can optimize ML systems for ultra-low latency, develop Generative AI models, and enhance ML pipelines.
🚀 Career trajectory
Emerging AI Talent
Deep is rapidly ascending in the AI field, transitioning from research internships to engineering roles focused on high-impact, real-time applications.
✦ AI Engineering
✦ Machine Learning
✦ Generative AI
Specialized Skill Development
Has cultivated a niche expertise in low-latency systems and Generative AI through targeted internships and projects.
✦ Low-Latency Systems
✦ Real-Time Inference
✦ Model Optimization
Cross-Domain Application
Demonstrates versatility by applying AI expertise across diverse sectors like autonomous driving, finance, and HR analytics.
✦ Autonomous Driving
✦ FinTech
✦ Data Analytics
💪🏻 Superpowers
Low-Latency ML Pioneer
Specializing in ML systems where speed is paramount.
✦ Expertise in optimizing real-time inference for Generative AI models.
✦ Proven ability to develop low-latency trading systems, emphasizing microsecond-level performance.
✦ Background in autonomous driving models, requiring rapid data processing and decision-making.
Generative AI Innovator
Driving advancements in AI model creation and deployment.
✦ Currently developing advanced Generative AI models for real-time applications.
✦ Skilled in automating ML pipelines for efficient and rapid deployment.
✦ Experience with Large Language Models (LLMs) and frameworks like LangChain.
Production-Grade Systems Architect
Bridging the gap between AI research and practical implementation.
✦ Focuses on creating AI systems that are not just functional but also fast and reliable in production.
✦ Experience with cloud platforms like AWS for scalable ML solutions.
✦ Combines C++, Multithreading, and WebSocket knowledge for robust system design.
I'm excited about
✦ Deep is passionate about building AI systems that deliver immediate, tangible results.
✦ He is excited by the potential of Generative AI to revolutionize various industries.
✦ His drive stems from solving complex engineering challenges in real-time environments.
I can help with
✦ Optimize your ML systems for ultra-low latency, crucial for high-frequency trading or real-time analytics.
✦ Develop and deploy cutting-edge Generative AI models tailored to your business needs.
✦ Enhance your data infrastructure with efficient ML pipelines for faster insights and operations.
I would love your help on
✦ Connecting with leaders in high-frequency trading or algorithmic finance.
✦ Exploring opportunities to apply Generative AI in areas like content creation or personalized user experiences.
✦ Finding mentors or collaborators focused on advanced AI model optimization and deployment strategies.
