Kaivalya Yadav

Founder

Gurgaon, Haryana, India10 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Founder of multiple startups with innovative solutions.
  • Expert in machine learning and data science applications.
  • Proven track record in optimizing complex transportation systems.
Stackforce AI infers this person is a Data Scientist and Software Engineer specializing in Renewable Energy and Logistics.

Contact

Skills

Core Skills

Machine LearningData ScienceOperations ResearchSoftware Development

Other Skills

AWS EC2Algorithm DesignAlgorithmsAmazon S3Amazon Web Services (AWS)Apache SparkArtificial Intelligence (AI)Back-End Web DevelopmentBig DataBootstrapBusiness OwnershipCC++CSSCelery

About

I have an immense appetite for learning, un learning and re learning, which gives me an above average ability to think, innovate and improve upon existing answers to simple problems of life.

Experience

10 yrs 1 mo
Total Experience
2 yrs 9 mos
Average Tenure
2 yrs 1 mo
Current Experience

Saskaware

Founder

May 2024Present · 2 yrs 1 mo · Gurugram, Haryana, India · Hybrid

Climajo

Co-Founder and CTO

Jan 2022Dec 2023 · 1 yr 11 mos

Quadrical.ai

Principal Data Scientist and Developer

Sep 2020Jul 2022 · 1 yr 10 mos · Gurugram, Haryana, India

  • I worked on digital twins, data engineering, machine leaning pipelines and predictions for solar power industry.
Data EngineeringMachine Learning PipelinesDigital TwinsPredictionsMachine LearningData Science

Qbit

2 roles

Programmer

Jan 2016Aug 2020 · 4 yrs 7 mos

  • Transportation model problem which deals with how the network should be laid out and how the demand and supply of different sku’s should happen between plants, RDC’s and depots during a particular block of days. The solution was researched, designed and coded by me. This first stage of optimisation was followed by next stage of optimisation where we succeeded in finding the best selection of vehicles from a set of available vehicles for particular lanes. These two solutions exist independent of each other and can be used and sold separately.
Transportation ModelingOptimizationResearchSoftware DevelopmentOperations Research

Programmer, Software Development and Research

Nov 2015Aug 2020 · 4 yrs 9 mos

  • Designed and developed vehicle scheduling algorithm and load distribution framework. The algorithm developed is comprehensive in the sense that it schedules pick and drop smoothly taking into considerations various constraints like max
  • capacity, fixed time windows, route optimisation for single pick multiple drop points as
  • well as multiple pick and multi drop points in the Indian context. A hybrid approach of using genetic algorithms, clark and wright and simulated annealing was employed.
Algorithm DesignLoad DistributionVehicle SchedulingSoftware DevelopmentOperations Research

Education

Indian Institute of Technology, Roorkee

Integrated Dual Degree — Computer Science and Engineering

Jan 2006Jan 2011

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