Meet Jain

About Meet Jain

AI & Blockchain Systems ArchitectDesigned a stock and crypto prediction system integrating blockchain for tamper-proof analytics. Also built a system threat forecaster with 62.57% accuracy, and developed dynamic pricing and waste reduction models for B2B retail using Python, Advanced Excel, and Machine Learning. Applied ML Intern @ Larsen & ToubroAnalyzed geospatial datasets to enhance irrigation and infrastructure systems. Built Power BI dashboards and supported spatial segmentation with Python + GIS tools, contributing to smarter, data-informed decisions. Open Source AdvocateLed Linux & documentation bootcamps at TCET Open Source, trained 6+ contributors, and managed repositories during Hacktoberfest 2023. Authored documentation supporting daily users and ensured 100% CI/CD uptime. Top-Tier Technical EducationPursuing dual degrees:• B.Tech in AI/ML – TCET, CGPA 9.47/10• B.Sc. in Data Science – IIT Madras, CGPA 7.35/10Certified in Deep Learning (Andrew Ng), Web Dev (Harkirat Singh), and IITM’s Programming Foundations. Problem-Solver & MentorPassionate about bridging research and practical innovation. Let’s connect if you’re working on AI/ML research, predictive analytics, secure systems, or open-source collaboration!

Experience

1. Dataops Intern

   Sigmoid

   Feb 2026 — Present · Bengaluru, IN

   DataOps Intern – SigmoidWorked as a DataOps Intern focusing on building scalable cloud-based data platforms, automating CI/CD pipelines, and enabling reliable data engineering and MLOps workflows across multi-cloud environments.Key Responsibilities & Contributions:Designed and deployed cloud infrastructure using Terraform across Azure, AWS, and GCPBuilt and automated CI/CD pipelines using Jenkins, Docker, and KubernetesDeveloped and optimized data pipelines using Snowflake and DatabricksImplemented monitoring and observability solutions using PrometheusContributed to MLOps workflows for ML model deployment and lifecycle managementDeveloped backend APIs using Python (Flask/FastAPI) and frontend interfaces using ReactCollaborated in Agile environments using JIRAWorked on real-time projects involving data processing, analytics, and automationParticipated in performance reviews, technical demos, and project management reportingImpact:Improved deployment efficiency through infrastructure automationEnhanced reliability of data workflows via CI/CD integrationEnabled scalable, cloud-native data solutions across multiple platforms

Education

• Thakur College of Engineering & Technology Shaymnarayan Thakur Marg Thakur Villaige Samata Nagar Kandivli (E) Mumbai 400 101

  Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning

• Indian Institute of Technology, Madras

  Bachelor of Science - BS, Data Science and Application