Hi, I'm Sayan Acharya - Software Engineer at Google
I'm a Software Engineer at Google TV, fueled by a passion for building intelligent systems via graph learning and advanced AI. I thrive on transforming complex, mathematically grounded challenges into scalable, production-ready solutions.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Authored GNN research for biological signals at ICIP 2024.
Develops large-scale recommendation systems at Google TV.
Can help others by applying graph learning to complex AI problems.
🚀 Career trajectory
Foundational Learning
Developed strong theoretical underpinnings in ML and algorithms through rigorous academic pursuits and competitions.
✦ KVPY
✦ RMO
Applied AI Innovation
Gained practical experience by contributing to advanced AI projects, including research and development at Google.
✦ Google Intern
✦ Software Engineer
Large-Scale Systems Engineering
Currently building and refining recommendation systems at Google TV, focusing on production-ready AI solutions.
✦ Google TV
✦ Recommendation Systems
💪🏻 Superpowers
Pioneering Recommendation Systems
Leveraging advanced AI for personalized user experiences.
✦ Building large-scale recommendation engines at Google TV.
✦ Applying graph-based representation learning.
✦ Developing AI evaluation frameworks for robust systems.
Bridging Research and Production
Translating complex theories into practical applications.
✦ First-author publication on GNNs for biological signals (ICIP 2024).
✦ Experience in graph learning, optimization, and core ML.
✦ Solving ambiguous problems under real-world constraints.
Mastering Structured Learning
Expertise in data-centric modeling and algorithmic depth.
✦ Focus on challenges with structure, uncertainty, and sparse data.
✦ Skilled in Reinforcement Learning techniques.
✦ Proficient in Python and SQL for data-driven solutions.
I'm excited about
✦ Collaborating on frontier machine learning problems.
✦ Exploring new directions in representation and graph learning.
✦ Discussing research and growth opportunities in AI.
I can help with
✦ Provide insights into graph-based learning and recommendation systems.
✦ Share expertise on developing and evaluating AI frameworks.
✦ Offer guidance on bridging academic research with industry applications.
I would love your help on
✦ Connecting with researchers in advanced representation learning.
✦ Finding opportunities to explore novel AI applications.
✦ Discussing challenges in large-scale data-driven systems.