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Amal de Silva

Amal de Silva

Founder & CTO

Turning complex problems into decisions people can act on.

30 years
Building optimization systems
4 continents
USA, Asia, Europe, Australia
9
Industries served
In production
From concept to daily operational use

For 30 years Amal has helped airlines, railways, bus operators, energy companies and manufacturers plan their crews, vehicles and equipment. Many of the systems he built are still in daily use.

Before starting Gradient Optimization he was a Senior Research Scientist at Apple, and before that worked at Gurobi, IBM, GE Transportation and ILOG. He holds a PhD in Computer Science and Operations Research.

Amal has developed optimization applications that were put into operational use at many organizations, including Apple, TSMC, NEC Japan, Malaysian Airlines, Singapore's Ministry of Defence and SMRT Singapore.

Core expertise

What the work involves.

Mathematical optimization

LP and MIP modeling, constraint programming, and heuristics — genetic algorithms, simulated annealing, tabu search.

Scheduling & routing

Workforce, crew, fleet and asset problems, at the sizes real operations actually run.

Advanced analytics

Simulation and stochastic models where the inputs themselves are uncertain.

Operationalization

Getting models out of notebooks and into production systems people depend on daily.

Professional journey

Where the experience comes from.

  • 2018 – 2026
    Apple — Senior Research Scientist, Planning & Logistics

    Supply chain optimization for production planning, demand-supply matching and procurement — applications that plan hero products and accessories, with hundreds of weekly users.

  • 2017 – 2018
    ENGIE Storage — Asset Optimization Lead

    Cutting customers' electricity costs by shaving demand peaks and arbitraging energy price.

  • 2016 – 2017
    Gurobi Optimization — Senior Optimization Support Engineer

    Modeling and performance problems for customers in transportation, energy and finance.

  • 2014 – 2016
    IBM — Client Technical Specialist, Optimization

    Emergency crew mobilization, airline crew routing, offshore helicopter logistics, rental fleet repositioning.

  • 2011 – 2014
    GE Transportation — Optimization Engineer

    Railcar fleet movement, rail maintenance crew scheduling, and container loading optimized for fuel consumption.

  • 2010 – 2011
    Amobee — Principal Engineer

    Optimizing ad placement across networks at platform scale.

  • 1998 – 2009
    ILOG — Principal Optimization Consultant

    Semiconductor fab scheduling that raised throughput 15%, airline crew routing, bus routing, ship loading and rolling stock routing.

  • 1995 – 1998
    Preston Aviation Solutions — OR Analyst

    Airline and rail crew scheduling, and airport gate assignment still in daily use.

Industry experience

Nine industries, one underlying problem.

Logistics & supply chain Transportation & airlines Energy & utilities Manufacturing & semiconductor Automotive Rail Maritime & offshore Public sector & defense Ad tech & media
Advisors
Vincent Gosselin

Vincent Gosselin

Advisor

Vincent Gosselin is an AI and optimization expert with more than 30 years of experience designing and delivering advanced decision-support solutions for major international organizations. He built much of his career at ILOG and IBM, working as a data scientist, mathematical-modeling specialist, project leader, mentor and consulting director on large-scale optimization projects across manufacturing, retail, supply chain and logistics, for companies including Samsung, Toyota, McDonald’s, Dassault Aviation, TSMC and Disney.

With a strong background in mathematical optimization and an MSc in AI from Paris-Saclay University, he combines deep technical expertise with extensive experience working directly with business users and managing international projects across Europe, Asia and the United States. He is now CEO and co-founder of Taipy, where he focuses on turning sophisticated optimization models into production-ready applications for end users.

Desmond Delandro

Desmond Delandro

Advisor

Desmond Delandro is an experienced software executive and technology strategist with more than 20 years of experience in building enterprise software businesses, enterprise sales, developing strategic partnerships, go-to-market strategy, and driving technology adoption.

Desmond currently serves as Chief Revenue Officer and Chief Operating Officer at Avaiga, where he leads commercial strategy and growth for Taipy, a Python-based platform that enables organizations to turn data science models and visualizations into enterprise applications.

Prior to Avaiga, Desmond held senior leadership roles at AWS, Automation Anywhere, IBM and ILOG. Working closely with technology companies and enterprise customers, he built global partner ecosystems, developed strategic enterprise relationships, and drove significant revenue growth through direct and indirect sales channels.

With a strong combination of technology expertise, commercial leadership, and enterprise experience, Desmond specializes in turning innovative software technologies into scalable business opportunities and building the partnerships required to accelerate market adoption.

Get in touch

Have a problem like these?

If your problem resembles any of the above — or looks nothing like them but has the same shape — we would like to hear about it.