Abhishek Kumar

CEO

Bengaluru, Karnataka, India18 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 18 years of experience in AI and Machine Learning.
  • Led multiple large-scale Generative AI initiatives.
  • Recognized as a Google Developers Expert in ML.
Stackforce AI infers this person is a Data Science and AI expert with extensive experience in enterprise-level solutions.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

AI & Data COEAI & ML TechniquesAI/ML TechniquesAI/ML solutionsASP.NETAWSAgentic ArchitectureApache SparkAzure DatabricksBig DataBusiness AnalyticsC#Cloud (AWS, GCP, Azure)D3.jsData Mining

About

Abhishek Kumar is a data science consultant, author, and speaker with ~18 years of experience in AI and Machine Learning. He holds a Master's degree from the University of California, Berkeley. His focus area is machine learning and deep learning at scale. He also received the Hal Varian Award for his work on deep learning at the University of California, Berkeley. He helps large enterprises utilize their data assets by applying data science principles using the latest techniques. He also specializes in building and managing scalable data products from conceptualization to deployment phase. He has worked on various machine learning and deep learning projects involving recommender systems, image recognition, forecasting, optimization, anomaly detection, and natural language processing. He is currently leading multiple large-scale Generative AI initiatives and engagements. He is currently working at Publicis Sapient as Senior Director of Data Science, spearheading the AI and Data Science practice with a focus on applying methods in machine learning to opportunities in retail, e-commerce, automobile, marketing, and operational optimization. He has worked with several Fortune 500 companies to help them create AI/ML/Data strategies and implement large-scale systems. Apart from being Recognized by Google as a Google Developers Expert - ML and Google-Cloud Champion, He is also a Pluralsight author and has authored several data science courses followed by data science aspirants across the globe. He is also a public speaker and has delivered talks in some of the most reputed conferences across the globe, including Strata Conference ( San Jose, NY, SFO) , Artificial Intelligence Conference (NY), ODSC (Bangalore), Google AI - ML Academy, Fifth Elephant. He owns 5 IPs and has also been featured in the "Top 40 under 40 Data Scientist" list. He is also an instructor and learning facilitator for the course "Future of Tech" (focusing on Data, AI, and innovation strategy) and "Artificial Intelligence: Business Strategies and Application" at Berkeley HaaS Executive-Ed.

Experience

Publicis sapient

4 roles

Senior Director Data Science

Promoted

May 2024Present · 1 yr 10 mos

Director Data Science

Apr 2021May 2024 · 3 yrs 1 mo

  • Spearheading AI & Data COE - Data Science practice in India
  • Working with C-Suite and senior stakeholders across industries to define Data Science roadmap and how it connects with wider data and organizational strategy
  • Creating data and AI-driven value propositions for leveraging data assets by clients across industries such as retail, automotive, CPG, financial services, energy and commodities
  • Leading the development of large scale cloud-agnostic enterprise-grade AI/ML platform accelerator "Bodhi", link: https://psbodhi.ai covering end-to-end ML workflow from development to production and post-production MLOPs
  • Leading the development of solution accelerators around forecasting, optimization, anomaly detection, ML-driven data governance, recommendation engine
  • Leading Generative AI initiatives and engagements and part of the global committee on Responsible and Ethical GenAI
  • Grooming team members for Digital Business Transformation as a faculty for "Transformation Leadership Accelerator Program"
  • Providing thought leadership through internal and external activities ( Keynote speakers in multiple Data & AI conferences and events )
  • Hired and mentored 100+ data professionals
  • Tech Stack : Cloud (AWS, GCP, Azure), Open Source Stack (Kafka, Kubeflow, MLFlow, Ray, Kibana, Prometheus, KNative ), ML Frameworks (TensorFlow, PyToch, PyG)
  • GenAI Stack : Langchain, Llama-Index, Open Source LLM fine-tuning and Serving, Vector databases, Agentic Architecture
AI & Data COEData ScienceCloud (AWS, GCP, Azure)Open Source Stack (Kafka, Kubeflow, MLFlow, Ray, Kibana, Prometheus, KNative)ML Frameworks (TensorFlow, PyTorch, PyG)Langchain+5

Senior Manager Data Science

Promoted

Oct 2018Apr 2021 · 2 yrs 6 mos

  • Defined the Data science strategy for one of the largest supply chain and logistics providers in US
  • Provided thought leadership for the usage of advanced AI & ML techniques for anomaly detection for a large global QSR chain
  • Architected large scale data science solutions and workflows
  • Led the development of AI/ML use-cases such as recommendation engines, propensity models, CLTV, causal modelling, time series forecasting, anomaly detection, NLP, CV at enterprise scale
  • Tech Stack: Azure Databricks, AWS
Data Science StrategyAI & ML TechniquesAzure DatabricksAWSData ScienceMachine Learning

Manager, Data Science

Jan 2017Oct 2018 · 1 yr 9 mos

  • Architected and led the development of a large scale next-gen personalization platform for one of the leading automakers that resulted in a 50-60% conversion lift
  • Led a team of data engineers, data analysts, cloud DevOps for AI/ML solutions across different industries
  • Delivered AI/ML use-cases: Propensity models, next best action prediction, forecasting
  • Tech Stack: GCP, Spark, Spark-Streaming, Kafka, Kubernetes, GKE, Airflow, Terraform, TensorFlow, PyTorch, Big Query
Next-gen personalization platformAI/ML solutionsGCPSparkTensorFlowPyTorch+1

Ntpc

Manager - AI/ML (NTPC R&D Center)

Jul 2007Jan 2017 · 9 yrs 6 mos · Noida Area, India

  • Led the AI/ML and innovation teams responsible for using advanced AI/ML techniques for a diversified power portfolio of NTPC ( coal, gas, renewals )
  • Developed enterprise-level applications targeted for power plant monitoring, optimization, anomaly detection, forecasting using Machine learning and deep learning
  • Deployed AI/ML solutions in several NTPC power plant units
  • Done various exploratory data analysis studies on power plant data
  • Published paper on power plant optimization, expert systems in journals
  • Received 5 IPs for applications of AI/ML for power and utilities
  • Presented case studies on the use of artificial intelligence in power generation in various national & international conferences
  • Propagated use of various architectural patterns and practices for creating reliable, and scalable solutions
AI/ML TechniquesPower Plant MonitoringOptimizationForecastingMachine Learning

Education

UC Berkeley School of Information

Masters of Information & Data Science

Malaviya National Institute of Technology Jaipur

B.Tech — Computer Science

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Abhishek Kumar - CEO | Stackforce