Mukesh Manral

Mukesh Manral

Open to

Bangalore · Delhi · Gurgaon · Noida · Pune

Work style

On-site, Hybrid

Contact details — on requestProof of Work — on request

Experience

N

Senior Data Scientist | GenAI, Data & Analytics

NeoGenCode Technologies Pvt Ltd · Feb 2025 – Present

Not yet confirmed
  • PinakaAi - KYC Document Intelligence Microservice
  • Care Health Insurance
  • AI-powered KYC microservice that masks PII on Aadhaar, classifies and extracts fields from 5+ Indian ID types using YOLO + PaddleOCR + AWS Bedrock, with JWT-secured APIs and PostgreSQL audit trails.
  • -> Tech Stack :
  • Backend & API -: Python, FastAPI, PostgreSQL, Alembic, PyJWT, Cryptography(RSA/AES), AWS, Docker).
  • AI/ML -: YOLO, PaddleOCR, OpenCV, PyTorch, Numpy, AWS Bedrock (Claude 3 Haiku).
  • Cloud & MLOps -: AWS(ECR, Bedrock, S3 via DocService), boto3.
  • Integration & Security-: JWT authentication, RSA+AES encrypted API payloads, client credential validation, CORS.
  • Supported docs-: Aadhaar, PAN, Passport, Driving License, Voter ID
  • 🔹Led end-to-end delivery of PinakaAI for Care Health Insurance — a production KYC microservice combining computer vision, OCR, and AWS Bedrock LLM for document masking, classification, and field extraction.
  • 🔹Architected a dual-service system (Starlette backend + FastAPI AI service) deployed on AWS ECR/Docker, integrated with DocService (S3), AnZ auth, and PostgreSQL for stage-wise processing audit trails.
  • 🔹Built and mentored a team of 5 on the AI pipeline (YOLO, PaddleOCR, Bedrock); owned deployment across Dev/UAT/Prod environments.
  • 🔹Processed 2M+ KYC documents and masked ~1M Aadhaar cards, compliant with Indian UIDAI PII masking requirements.
  • 🔹Improved classification accuracy for edge cases (e.g.
  • Aadhaar front vs back) using an LLM-priority architecture over pure computer vision.
GitHub

Open Source Contributor

GitHub · Apr 2022 – Present

Not yet confirmed
  • Contributing several open source Projects + Guides:
  • 1. visage.auth: https://github.com/MvMukesh/visage.auth
  • 2. https://github.com/MvMukesh/AutoKYC-ExtractionEngine
  • Guide:
  • 1.
  • Get a Data job in 3 month: https://github.com/MvMukesh/Manralai
  • 2.
  • Problem Solving Framework for ML: https://github.com/MvMukesh/ProblemSolving-FrameWork-ML
  • 3.
  • Feature Selection Framework for ML: https://github.com/MvMukesh/FeatureSelection-Framework-ML
  • 4.
  • Feature Engineering Framework for ML: https://github.com/MvMukesh/FeatureEngineering-Framework-ML
  • 5.
  • Data Preprocessing Framework for ML: https://github.com/MvMukesh/DataPreprocessing-Framework-ML
N

Manager - Data Science & AI Products (Client: Care Health Insurance)

NeoGenCode Technologies Pvt Ltd · May 2024 – Jun 2026

Not yet confirmed
  • Accountable for end-to-end data science and AI product delivery at Care Health Insurance discovery, roadmap, sprint execution, analytics development oversight, and business outcome tracking.
  • Managed and mentored a team of 15; facilitated sprint planning, standups, and retros; bridged legal, operations, and engineering stakeholders for on-time delivery.
  • Owned SDLC from user discovery to deployment for AI document classification and extraction; translated requirements into epics, user stories, and acceptance criteria.
  • Impact: 80% reduction in claim processing TAT; scaled throughput to 1,000+ automated cases/day.
  • Led discovery using claims analytics to identify fraud/risk gaps; prioritized delivery using RICE and Impact vs.
  • Effort frameworks.
  • Impact: Rs. 30–40 lakh/month savings by reducing incorrect claim approvals.
  • Directed product definition and execution of compliance automation using document intelligence (YOLO, OCR, NLP); 2M+ documents processed in production.
  • Impact: Removed manual effort for 20+ business users and improved regulatory data accuracy.
  • Designed RAG-based self-service journeys; tracked deflection rate, CSAT, and drop-off KPIs for continuous iteration.
  • Impact: 60% reduction in support query volume.
M

Chief Product Officer - Data Science & ML Platform

Manralai · Jan 2022 – Dec 2024

Not yet confirmed
  • Led 30-person cross-functional team; owned roadmap, delivery standards, and training objectives for analytics and ML platform execution.
  • Built Python/FastAPI recommendation and customer analytics services on AWS SageMaker with MLflow tracking, Docker deployment, and CloudWatch monitoring.
  • Delivered personalization and propensity models tied to engagement KPIs; presented insights and platform ROI to leadership stakeholders.
M

Chief Product Officer

Manralai · May 2023 – Dec 2024

Not yet confirmed
H

Data Science Specialist - Analytics & MLOps

HCL (Guvi-IITM) · Apr 2023 – Sep 2023

Not yet confirmed
  • Developed predictive pipelines and in-house ML system in Python; improved placement outcomes from 18% to 40% in 6 months.
  • Introduced MLflow and CI/CD practices; mentored analysts and aligned data science delivery with business unit priorities.
GUVI Geek Networks, IITM Research Park

Data Science Specialist

GUVI Geek Networks, IITM Research Park · Apr 2023 – Sep 2023

Not yet confirmed
  • 🔹Introduced and implemented MLOps methodology using MLFlow and GitHub Actions, driving operational efficiency and reproducibility.
  • 🔹Leveraged data-driven insights to significantly boost placement rates from ~18% to 40% in just 6 months.
  • 🔹Worked seamlessly in intersection of Data Science Tech and Data Science Placement business unit to create a cohesive and effective workflow.
  • 🔹Designed and implemented data pipelines to collect, process, and analyze candidate and client data for valuable insights.
  • 🔹Developed an in-house prediction system to accurately match candidates with their ideal roles, leading to substantial salary increases (from ~3-6 LPA to ~13 LPA).
  • 🔹Provided expert AI consulting services to other organizations and professionals, sharing knowledge and driving innovation.
C

Data Scientist – NLP & Document Analytics

CloudyML · Jan 2022 – Dec 2022

Not yet confirmed
  • Engineered production NLP/document analytics pipeline (OCR, NER, classification) in Python, spaCy, and OpenCV for unstructured document automation.
  • Reduced document processing time by 80%; delivered operational insights and implementation recommendations to business teams.
C

Data Scientist

CloudyML · Jan 2022 – Dec 2022

Not yet confirmed
  • POC : Documents Data Extractor
  • -> Tech Stack – Python, NLP, spaCy, openCV, (OCR, NER), Pytesseract, BIO tags
  • 🔹Spearheaded proof-of-concept project, integration of SpaCy and Pytesseract to automate Named Entity Recognition and OCR; achieved an 80% reduction in document processing time for the data team.
  • 🔹Engineered a computer vision pipeline using Python and OpenCV to extract text and recognize characters from images; reduced manual text entry by 7%.
T

Machine Learning Engineer – Customer Analytics

TechSim+ · Jul 2019 – Dec 2021

Not yet confirmed
  • Integrated 20M+ transactional records into curated datasets; built ETL and modeling workflows on AWS S3/SageMaker using Python and SQL.
  • Generated customer spend insights contributing to Rs. 18-20 crore projected annual savings; presented findings to R&D and business leadership.
TechSim+ - The Symbol of Expertise

Machine Learning Engineer

TechSim+ - The Symbol of Expertise · Jul 2019 – Dec 2021

Not yet confirmed
  • Maximised ROI: Data-Driven Customer Spending Solution
  • -> Tech Stack – Python, Machine Learning, Amazon S3, AWS Sagemaker, MLOps
  • 🔹Worked as an assistant R&D member and helped the team in creating ETL pipelines.
  • 🔹Designed and implemented ETL pipelines on AWS to ensure data quality and streamline analysis.
  • 🔹Developed Sagemaker notebooks and presented architecture diagrams for machine learning models.
  • 🔹Successfully identified 12 key products out of 126 products, contributing to client spending patterns from a dataset of 20 million transactions for different product spanning past 4 years.
  • 🔹Proposed different buying patterns and data-driven strategies to optimize key products buying time, resulting in estimated annual cost savings of ₹18-20 crores every year.

Skills 0 proven through work

Also works with

Redmine UsageRequirements Definition for SourcingPrompt EngineeringModel Selection Trade-Off AnalysisAI Tool EnablementDelegation and Work AllocationPeople ManagementIterative Problem SolvingAdaptabilityExplainable AIUser Experience ImprovementBusiness Growth StrategyGenerative AI ApplicationTool Adoption Change ManagementAI Platform OptimizationMaintainability DesignApplication MaintenanceConversion Rate OptimizationAccount ManagementData-Driven RecommendationsStudent Assessment and FeedbackProduct Training DeliveryStrategic PlanningInteractive Learning DesignAI-powered Interview AnalysisExploratory Data Analysis (EDA)AI Pipeline DevelopmentAPI Performance OptimizationCloud MonitoringSystem Metrics CollectionApplication MonitoringRedis Cache ImplementationAPI Caching ImplementationBatch Processing ImplementationLoad Balancer ConfigurationRecommendation Feature DevelopmentLow-Latency System OptimizationAWS DeploymentCustomer Behavior AnalysisFastAPI DevelopmentPython DevelopmentMachine Learning Model DeploymentML Experiment TrackingAutomation Test DevelopmentCI/CD Pipeline ImplementationDataset VersioningTechnical DocumentationCode ReviewClean Code PracticesTransparent CommunicationConfluence Reader DevelopmentJira UsageData Integrity ManagementInfrastructure ManagementData Analysis Application DevelopmentFeasibility and Impact AssessmentData GovernanceWorkflow Design (Process Mapping)Software Quality AssuranceBusiness Value RealizationMLOps ImplementationAI Platform DevelopmentSOP DevelopmentTeam LeadershipProduct LeadershipOn-time DeliveryTeam BuildingRequirements AnalysisUser Story WritingLLM-based Data ExtractionText ClassificationApplication DeploymentUser ResearchSDLC Process ApplicationProject ExecutionWork Planning and PrioritizationStructured Work ApproachMeeting FacilitationAgile MethodologyMentoring and Peer CoachingModel Training ExecutionFallback Mechanism DesignHuman-in-the-Loop Review DesignThreshold-Based AnalysisConfidence Scoring and Uncertainty BucketingPII RedactionCommercial AnalysisAnomaly DetectionFeature Adoption StrategyAccuracy Metric InterpretationCompliance ManagementCost-Saving Initiative ManagementTransparent System DesignSecurity ArchitectureScalable System DesignDecision Support System DevelopmentAutomated Summarization SystemsAI Workflow AutomationRisk and Controls AssessmentFraud Detection System DevelopmentRetrieval-Augmented GenerationNLP Text AnalysisOCR System DevelopmentSoftware Architecture PrinciplesProcess UnderstandingAI Solution DesignProduct ThinkingAI Solution Implementation

Proof of Work

Proof of Work

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Education

Bachelor of Technology (B.Tech), Information Technology / Engineering

Uttarakhand Technical University · 2015 — 2019

Links

LinkedIn

linkedin.com/in/mukesh-manral

Contact details

Contact details

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