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.