Vishalaksh Aggarwal

Co-Founder

Seattle, Washington, United States11 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led multiple 0→1 initiatives at Apple Music.
  • Achieved record-setting conversion uplifts through ML solutions.
  • Co-founded a successful consumer tech startup.
Stackforce AI infers this person is a SaaS and Consumer Tech expert with a strong focus on Machine Learning and Product Development.

Contact

Skills

Core Skills

Machine LearningInformation RetrievalRecommendationsEntrepreneurshipProduct DevelopmentData Visualization

Other Skills

Amazon Web Services (AWS)AndroidAngularJSArchitectureCassandraCloud ComputingD3.jsHTMLJavaJavaScriptLarge Language Models (LLM)Microsoft OfficeMobile ApplicationsMobile DevicesNatural Language Processing (NLP)

About

I am a Staff Machine Learning Engineer with 9+ years of experience building and scaling search, embedding, and AI systems in production, including 7 years at Apple and IBM Research, and 2 years as a startup founder. At Apple, I have led multiple 0→1 initiatives across Apple Music, including large-scale semantic search, personalization, multilingual retrieval, cold-start systems, and foundation embedding models used across agentic search, Siri recall, and offline intelligence pipelines. My work has driven record-setting conversion uplifts and enabled faster org-wide model deployment. I specialize in designing foundation-level ML platforms rather than one-off models—owning the full lifecycle from research and data strategy to training infrastructure, evaluation, and production reliability at scale. Prior to Apple, I led search and recommendations at magicpin and co-founded a consumer tech startup, where I owned product, engineering, and team building end-to-end. I started my career at IBM Research, contributing patents and peer-reviewed publications. I enjoy working at the intersection of deep technical problems and product impact, and I’m especially interested in roles that value long-term technical vision, system ownership, and mentoring strong engineers.

Experience

11 yrs 9 mos
Total Experience
2 yrs 11 mos
Average Tenure
5 yrs 7 mos
Current Experience

Apple

2 roles

Staff Machine Learning Engineer

Promoted

Sep 2024Present · 1 yr 7 mos

  • Leading embedding-based retrieval for Apple Music.
  • Architecting multi-modal foundation embedding models powering Natural language search, Siri, spell-correction systems.
  • Built an org-wide model training framework, reducing time-to-production by ~50% and enabling faster iteration across teams.
  • Own reliability and data quality of large-scale offline ML pipelines, including LLM-powered workflows used across multiple products.
Machine LearningInformation RetrievalSearchPersonalizationLarge Language Models (LLM)System Architecture

Senior Machine Learning Engineer

Sep 2020Sep 2024 · 4 yrs

  • Designed and deployed personalized search ranking for Apple Music, producing the largest observed conversion uplift for a ranking modification.
  • Solved cold-start retrieval for new music content; evaluation frameworks are now used by multiple teams.
  • Introduced new tokenization strategy
Machine LearningInformation RetrievalSearchPersonalization

Magicpin (samast technologies)

Technical Lead

Apr 2018Sep 2020 · 2 yrs 5 mos · Gurgaon, India

  • Led architecture and execution of context-aware, personalized search with major performance gains.
  • Designed and built a recommendation platform (users + deals) using behavioral and contextual signals.
  • Owned search quality, latency, and relevance across production systems.
Machine LearningInformation RetrievalSearchRecommendations

Creapptic

Co-Founder

Jun 2016Apr 2018 · 1 yr 10 mos · New Delhi Area, India

  • Co-founded a consumer discovery platform from scratch.
  • Built the entire mobile (iOS, Android) and backend stack.
  • Led and scaled a 7-person team, owning product, engineering, and execution.
EntrepreneurshipProduct DevelopmentMobile ApplicationsSoftware Development

Ibm research

Software Engineering Researcher

Jul 2014Jun 2016 · 1 yr 11 mos · New Delhi Area, India

  • Built an automated ticket-resolution system using ML and unstructured text.
  • Developed cloud-based data visualization and cognitive systems for city-scale analytics.
  • Contributed to patents and peer-reviewed research publications.
Machine LearningData VisualizationCloud Computing

Qualcomm

Intern

May 2013Jul 2013 · 2 mos · Hyderabad

Education

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology (B.Tech.) — Electrical and Electronics Engineering

Jan 2010Jan 2014

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