Hi, I'm Sahana Bhaskar - Artificial Intelligence Engineer at CodeKids Virginia Tech
I am passionate about building intelligent systems that simplify complexity. I thrive in research-heavy environments where I can apply AI to real-world problems and collaborate with others to scale innovation.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Contributed to large-scale engineering projects during tenure as a software engineer at Tata CLiQ.
Currently driving AI engineering research and development initiatives at CodeKids Virginia Tech.
Provides expertise in recommender systems, convolutional neural networks, and scalable technical architecture design.
🚀 Career trajectory
Foundation Building
Established technical fundamentals in Information Technology while interning in machine learning research.
✦ Foundational Engineering
✦ Applied Research
Industry Application
Transitioned into large-scale software engineering roles, focusing on web development and database management.
✦ Production Systems
✦ Full-Stack Development
Advanced Specialization
Pursuing MS in Computer Science while shifting focus toward AI research and intelligent system design.
✦ Artificial Intelligence
✦ Academic Research
💪🏻 Superpowers
AI Model Architect
Engineering intelligence into complex data structures
✦ Architecting high-performance recommender systems using advanced neural networks.
✦ Optimizing data workflows to improve model responsiveness and accuracy.
✦ Bridging theoretical machine learning with practical, production-ready software solutions.
Technical Communicator
Translating intricate code into actionable insights
✦ Leading technical discussions to foster alignment across cross-functional teams.
✦ Mentoring peers to improve code clarity and documentation standards.
✦ Simplifying complex architectural concepts for diverse stakeholder groups.
Software Systems Integrator
Connecting robust backends with seamless user experiences
✦ Developing scalable server-side infrastructure for high-traffic environments.
✦ Troubleshooting latency issues across distributed system architectures.
✦ Implementing hardware-software interfaces for embedded system reliability.
I'm excited about
✦ Exploring cutting-edge advancements in AI to solve real-world industry challenges.
✦ Connecting with mentors who can offer perspective on scaling intelligent software platforms.
✦ Engaging in technical communities to discuss the future of machine learning integration.
I can help with
✦ Providing guidance on optimizing recommender systems and deep learning model deployment.
✦ Offering technical reviews for software architecture and code quality improvements.
✦ Supporting peers in understanding machine learning concepts through clear technical mentoring.
I would love your help on
✦ Learning about emerging trends in AI-driven startup ecosystems and job market landscapes.
✦ Seeking advice on navigating the transition from academic research to applied industry AI roles.
✦ Connecting with experts for feedback on integrating neural networks into existing product stacks.