Hi, I'm Shripad Thite - Software Engineer at Meta
I'm driven by translating complex algorithmic challenges into scalable, impactful software, especially within ML infrastructure. I thrive on pragmatic, science-driven solutions and building systems that bridge cutting-edge research with tangible product outcomes.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Engineered YouTube's recommendation system, earning an Emmy award.
Contributes to large-scale infrastructure and ML solutions at Meta.
Can share insights on building robust ML systems and algorithmic problem-solving.
🚀 Career trajectory
Foundation in Algorithms & Research
Early career focused on computer science research in computational geometry and algorithms.
✦ Algorithms
✦ Research
✦ Computer Science
Scaling ML Systems at YouTube & Uber
Transitioned to applied roles, building critical ML infrastructure for recommendation systems and demand forecasting.
✦ Machine Learning
✦ Big Data
✦ Distributed Systems
Platform Engineering at Meta
Currently contributing to large-scale infrastructure and ML solutions at Meta.
✦ Software Engineering
✦ Machine Learning Infra
✦ Scalability
💪🏻 Superpowers
ML Systems Architect
Building scalable ML infrastructure from concept to production.
Developed end-to-end ML infrastructure for spatio-temporal demand forecasting.
Engineered YouTube's recommendation system, earning an Emmy award.
Expertise in algorithms for online advertising and large datasets.
Algorithmic Innovator
Applying computational geometry to solve real-world problems.
Designing algorithms for principled accuracy-efficiency trade-offs.
Utilizing geometric insights for diverse applications.
Specializing in microeconomic simulation and auction market design.
Product-Minded Engineer
Bridging cutting-edge research with tangible product outcomes.
Focused on product impact in all software development efforts.
Developed buttery-smooth Android experiences for low-bandwidth networks.
Pragmatic, science-driven approach to full-stack development.
I'm excited about
Discovering novel applications of geometric algorithms.
Collaborating on challenging ML infrastructure problems.
Finding opportunities to mentor junior engineers.
I can help with
Share insights on building robust ML systems.
Provide guidance on algorithmic problem-solving.
Offer perspectives on developing efficient software infrastructure.
I would love your help on
Connecting with experts in theoretical computer science.
Finding collaborators for research projects.
Exploring new domains for algorithmic applications.