Ravi Shankar Kumar

Ravi Shankar Kumar

As a Machine Learning Engineer with 5 years of experience, I am driven by a deep curiosity to explore complex problems, applying rigorous logic and meticulous organization to every solution. My determination and strong sense of accountability ensure that I consistently deliver high-quality, impactful results, always striving for optimal and well-structured outcomes.

Open to

Bangalore · Delhi · Gurgaon

Work style

Remote, Hybrid, Onsite

Availability

Available in 15 days

Contact details — on requestProof of Work — on request

Experience

N

Machine Learning Intern

Nexlyra Engineering Works · Aug 2026 – Present

Not yet confirmed
  • DevelopedAI-drivenrisk, frauddetection, propertyvaluation, andclassificationsolutionsbytranslatingbusinessrequirements
  • into machine learning workflows and production-oriented models.
  • • Built an end-to-end real-time fraud detection system using 500K+ transactions, engineering behavioral, temporal, and
  • transaction-velocity features for risk scoring and fraud prediction.
  • • Trained and evaluated XGBoost and LightGBM classification models, addressing severe class imbalance using SMOTE
  • and optimizing model performance using cross-validation and hyperparameter tuning.
  • • Applied SHAP Explainable AI techniques to interpret model predictions, identify high-impact features, and translate
  • model behavior into business-oriented risk insights.
  • • Developedregressionandclassificationmodelsusing 1M+propertyrecordsforautomatedpropertyvaluationandhigh-risk
  • asset identification.
  • • Implemented end-to-end Scikit-Learn pipelinescovering data preprocessing, missing-value imputation, feature engineering,
  • categorical encoding, scaling, model inference, and deployment readiness.
  • • Performed model evaluation using classification and regression metrics, analyzed model errors and feature importance, and
  • iteratively improved model performance based on business requirements.
  • • Collaborated with technical and business stakeholders to define ML use cases, analyze model performance, identify optimiza-
  • tion opportunities, and align AI solutions with operational objectives.
S

Machine Learning Engineer

Square Yards · Aug 2021 – Jul 2023

Not yet confirmed
  • • Architected BERT-based NLU models and custom dialogue pipelines integrated with CRM/marketing platforms for intelligent lead generation and qualification.
  • • Delivered high-ROI conversational AI solutions that improved lead conversion rates and user experience.
  • • Designed and productionized multiple end-to-end AI pipelines for a real estate use case, including:
• SerpAPI-powered keyword-based real estate data scraping and backend upload via HTTP POST APIs.
• PDF-to-text OCR processing with GPT-based refinement.
• FastAI + ResNet34 (pretrained) watermark detection model on real estate images achieving ~90% accuracy.
P

Gandhi-fellowship

Piramal Foundation · Jun 2019 – May 2021

Not yet confirmed
  • Gandhi Fellowship is an experiential 2-year residential fellowship course in transformation leadership.
  • For the last 10 years, Gandhi Fellowship has empowered young women and men to groom themselves into change leaders who go on to create large scale social and public systems change, where each fellow is fueled by the philosophy of “Build Self, Build Nation”.
  • - Completed residential fellowship to enhance skills, knowledge, and attitude towards social entrepreneurship.
  • - Collaborated with government stakeholders to improve education systems and student learning outcomes.
  • - Organized workshops and interactive sessions with government college students to promote education awareness.
  • - Successfully managed projects, including Girl Education Campaign, Read Along Campaign (powered by Google), and community teaching initiatives.

Skills 0 proven through work

Also works with

Work Planning and PrioritizationTechnical TroubleshootingTeam SupportListening AttentivelyStrategic PlanningStakeholder ManagementCampaign ExecutionProgram ManagementProject ExecutionMachine Learning Model DeploymentModel Training ExecutionApplication MonitoringError HandlingStructured LoggingRegular ExpressionsAI Tools UsageFeedback ManagementLead GenerationAPI IntegrationWorkflow Design (Process Mapping)Semantic Similarity EvaluationModel Fine-TuningChatbot DevelopmentConversational UX DesignAI Agent DevelopmentRetrieval-Augmented GenerationLarge Language Model ConceptsGenerative AI ApplicationDeep LearningMachine Learning Application

Proof of Work

Proof of Work

Ravi shares this with people who ask. You'll hear back either way.

Education

Bachelor's Degree, Ceramic Engineering

IIT(BHU), Varanasi · 2015 — 2019

Contact details

Contact details

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