Ashish Agnihotri

Product Manager

Bengaluru, Karnataka, India15 yrs experience
Highly StableAI Enabled

Key Highlights

  • 15+ years in Data Science and Engineering leadership
  • Expertise in Generative AI and Deep Learning architectures
  • Proficient in building scalable data science models
Stackforce AI infers this person is a Data Science and Engineering expert in B2C environments, focusing on scalable AI solutions.

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Skills

Core Skills

MultimodalGenerative AiData ScienceProduct ManagementDeep LearningData EngineeringNlpMachine Learning

Other Skills

AgenticAlgorithmsAmazon Web Services (AWS)Android DevelopmentApache KafkaApache PigApache SparkApache Spark StreamingArtificial Intelligence (AI)Big DataBig Data ExperimentationCatalog RefinementCloud-based DeploymentsCloudera ManagerData Analysis

About

. Data Science, Engineering and Analytics leader with over 15+ years of experience managing scalable Data Science products, usecases and teams. . Leading Data Science products based on RECOMMENDORS, PERSONALIZATION, PREDECTIVE FORECASTING, TEXT MINING, ACTIVE LEARNING, LLM’s and RAG’s . Proficient in Building ONLINE and OFFLINE data science models and pipelines scaling to billions of customers. . Productionized use cases with GAN’s, LLM, NLP, Timeseries, Autoencoders . Hands on Proficiency in scripting and automation languages, including Python and SQL based usecases • Very Sound in Big Data technology stack including Hadoop, Spark and Kafka etc • Implementation and understanding of managed cloud services in AWS and GCP. • Proficient in Deep Learning Architecture.

Experience

15 yrs
Total Experience
3 yrs 5 mos
Average Tenure
1 yr 10 mos
Current Experience

Flipkart

Senior Research Manager - Multimodal and GenAI

Jul 2024Present · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

  • Text, Image and Video Multimodal and GenAI usecases.
  • Multimodal Search Optimisation
  • Personalised Recommendations
  • Image and Video Commerce
  • Catalog Refinement
Text MiningPersonalizationMultimodal Search OptimizationImage and Video CommerceCatalog RefinementMultimodal+1

Paypal

Manager, Data Science 2 - Paypal - Core Fraud and Risk

Jul 2021Sep 2024 · 3 yrs 2 mos · India

  • Principal Data Science Leader for Risk and Fraud domain and Product Personalisation Use cases
  • Scalable Online and Offline Model Serving n inferences
  • . Near Real Time Graph NN
  • . Model store , variable store architectures
  • Cloud based deployments
  • . Deep Learning Architectures
  • . LLM’s
  • . People management
  • . Product management
Risk and Fraud AnalysisProduct PersonalizationDeep Learning ArchitecturesCloud-based DeploymentsGraph Neural NetworksData Science+1

Adobe

2 roles

Product Lead - Data

Promoted

Sep 2019Oct 2021 · 2 yrs 1 mo

  • Deep Learning - GenAI, CNN, RNN and GAN's
  • Real-time scalable ML models on cloud
  • MLOps
  • Spark on Cloud
  • Kafka | Hadoop | Hbase | SQL
Deep LearningMLOpsReal-time Scalable ML ModelsSpark on CloudKafkaHadoop+1

Computer Scientist - Data Sciences

Aug 2015Sep 2019 · 4 yrs 1 mo

  • Data Science, Data Engineering
  • Spark ML, Spark Streaming
  • Recommendation Systems
  • NLP
Data ScienceData EngineeringRecommendation SystemsNLPSpark ML

American express

Senior Software Engineer - Data Science and Products

Sep 2014Nov 2015 · 1 yr 2 mos

  • Data Science Pipelines
  • XGBoost, NeuralNets, NLP
  • Big Data Experimentation
Data Science PipelinesXGBoostNeural NetworksNLPBig Data ExperimentationData Science+1

Steria group - data monetization

Senior Data Engineer

May 2011Oct 2014 · 3 yrs 5 mos

Education

University of Michigan - School of Information

Masters Degree — Applied Data Science

UC Berkeley School of Information

Masters Certificate — Machine Learning and Data Science

Dr. A.P.J. Abdul Kalam Technical University

B-Tech — Computer Science

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