Rishikesh Fulari

AI Researcher

Chicago, Illinois, United States4 yrs 3 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 5+ years of experience in Machine Learning and Data Science.
  • Expert in building scalable big data pipelines.
  • Proven track record in optimizing machine learning workflows.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Fintech and Data Science.

Contact

LinkedIn

Skills

Core Skills

Machine LearningBig DataCloud ComputingComputer VisionNatural Language Processing (nlp)

Other Skills

Azure SynapseData WorkflowsAzure Machine LearningCost OptimizationMarkerless Pose EstimationDeep Neural NetworksOpen Source ContributionQuantitative ResearchData AnalyticsMachine Learning Course DevelopmentCourse DevelopmentAddress MatchingFeature EngineeringLanguage ModelsData Preprocessing

About

Experienced Machine Learning/Data Science Professional with over 5 years of total experience.

Experience

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

William blair

Machine Learning Engineer

Aug 2024 – Present · 1 yr 10 mos · Chicago, IL · Hybrid

  • Designed and built scalable big data pipelines using Azure Synapse to support end-to-end machine learning and data workflows for investment banking use cases.
  • Led the end-to-end development, training, and deployment of machine learning models on Azure Machine Learning platform, from problem ideation to production at scale.
  • Successfully migrated legacy machine learning workloads to Azure Machine Learning, achieving approximately 40% year-over-year cost reduction through optimized infrastructure and workflows.
Azure SynapseMachine LearningBig DataData WorkflowsAzure Machine Learning

Purdue global

Machine Learning Specialist

Dec 2023 – Jan 2024 · 1 mo · West Lafayette, Indiana, United States · Remote

  • - Created a machine learning course titled 'Introduction to Machine Learning Algorithms' targeted for working professionals switching to Machine Learning/Data Science domain
Machine Learning Course DevelopmentMachine Learning

Purdue university

Data Scientist

Jan 2023 – Aug 2024 · 1 yr 7 mos · Fort Wayne, Indiana, United States · On-site

  • Researched on Animal locomotion, devising efficient methods for markerless pose estimation based on transfer learning with deep neural networks. Contributing to open source project DeepLabCut.
Markerless Pose EstimationDeep Neural NetworksOpen Source ContributionQuantitative ResearchData AnalyticsMachine Learning+1

Crimecheck

Machine Learning Engineer

Jul 2021 – Jul 2022 · 1 yr · Bengaluru, Karnataka, India

  • Achieved 98% precision score for address matching machine learning model by implementing innovative feature engineering techniques which led to 30% reduction in manual work of data analysts.
  • Pretrained and prepared Language Models from scratch on a dataset with more than 6 million records resulting in a named entity recognition system which doubled the operations team’s efficiency.
  • Collected, preprocessed, cleaned and analyzed millions of address records to prepare dataset for machine learning models. Wrote a script to generate several millions of artificial addresses using existing datasets.
  • Conducted research on text similarity matching problems for the Indian addresses and devised innovative approaches which formed the foundation for the ongoing research work there.
Address MatchingFeature EngineeringLanguage ModelsData PreprocessingMachine LearningNatural Language Processing (NLP)

Celebal technologies

Data Scientist

Apr 2021 – Jul 2021 · 3 mos · Jaipur, Rajasthan, India

  • Fine-tuned Detectron2 for image recognition project over a dataset of around 100,000 documents
  • Extracted and organized invoice details from pdf documents using computer vision
Image RecognitionComputer VisionData ExtractionMachine Learning

Infosys

Machine Learning Engineer

Jul 2019 – Dec 2020 · 1 yr 5 mos · Nagpur, Maharashtra, India

  • Researched on ‘Multi-domain Dialogue State Tracking under constrained environment’ for building data corpus of conversations in native Hindi language, which is a low-resource language. The corpus created was further used to create a chatbot.
  • Examined, organized, translated, and maintained conversational dialogues in text format from English to Hindi using python programming for building a personal assistant system in native language.
  • Led network engineering tasks for USA based telecommunications industry clients.
  • Designed logical circuits, configured switches and routers, resolved client-side technical issues.
Dialogue State TrackingChatbot DevelopmentNetwork EngineeringMachine LearningNatural Language Processing (NLP)

Education

Purdue University

Master of Science - MS — Computer Science

Fergusson College

B.Sc — Computer Science

University of Hyderabad

Diploma in Machine Learning and Artificial Intelligence

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