Hi, I'm Avishalom Shalit - Data Science + AI eng. at Zeplyn AI
I am passionate about building intelligent systems that turn complex data into real-world action. I thrive in high-stakes, hands-on engineering environments where I can lead teams to solve meaningful, tough problems.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Brought significant data and algorithmic expertise to Google and early-stage innovators.
Focuses currently on hands-on AI engineering and team leadership at Zeplyn AI.
Provides expert guidance on building production-grade ML systems and managing technical teams.
🚀 Career trajectory
Foundation & Scale
Established early career depth at Persado and Google, focusing on core algorithmic development and analytic rigor.
✦ Core Engineering
✦ Algorithmic Rigor
Strategic Leadership
Transitioned into executive and management roles at SEDNA and Tribe AI, centering on departmental strategy and complex AI consulting.
✦ Team Leadership
✦ AI Consulting
Hands-On Frontier
Currently driving innovation at Zeplyn AI, re-engaging with deep technical execution and specialized AI engineering.
✦ Hands-On Lead
✦ AI Development
💪🏻 Superpowers
Scalable AI Architecture
Designing production-grade machine learning pipelines
✦ Architects robust end-to-end data pipelines for high-velocity environments.
✦ Integrates complex model deployment into existing business workflows.
✦ Optimizes algorithm performance for global-scale data processing.
Cross-Functional Leadership
Orchestrating high-performance remote and hybrid teams
✦ Aligns technical data strategy with broader executive business objectives.
✦ Mentors cross-disciplinary engineering teams to accelerate feature delivery.
✦ Leads distributed squads through complex technical transformations.
Algorithmic Innovation
Transforming abstract data into measurable market advantage
✦ Pioneers custom algorithm development to drive predictive analytics.
✦ Translates high-level business queries into actionable machine learning models.
✦ Iterates on model precision to solve unique domain-specific challenges.
I'm excited about
✦ Exploring cutting-edge AI breakthroughs in collaborative professional environments.
✦ Connecting with peers to exchange insights on scalable machine learning infrastructure.
✦ Gaining fresh perspectives on startup growth and emerging technical challenges.
I can help with
✦ Advising teams on architecting production-ready machine learning pipelines.
✦ Mentoring early-career engineers on bridging the gap between theory and execution.
✦ Consulting on data science team structures for high-growth technical organizations.
I would love your help on
✦ Learning best practices for scaling technical teams in rapid-growth AI startups.
✦ Discovering new methodologies for managing complex hybrid engineering cultures.
✦ Seeking insights into the current landscape of enterprise AI adoption strategies.