About me

I build intelligent software systems at the intersection of machine learning, data, and engineering. As a freelancer, I work on shaping raw, unstructured data and vague ideas into systems that are clear, functional, and production minded.

My focus is on designing solutions that actually operate in the real world — from data pipelines and analytical workflows to machine learning models that support decisions, detection, and automation. I care deeply about how systems behave outside notebooks: performance, reliability, and usefulness.

What i'm doing

  • design icon

    Data Analysis

    Turning raw data into clear, actionable insights.

  • Web development icon

    Machine Learning

    Building intelligent models for real-world decision systems.

  • mobile app icon

    IoT & Automation

    Connecting hardware, sensors, and software into smart systems.

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    Intelligent Software Systems

    Designing ML-powered applications for real-world use.

How I Work

  • Daniel lewis

    Problem Framing

    Every project starts with clarity. I focus on understanding the real objective, system context, constraints, and expected outputs before writing any code. This includes defining success metrics, identifying risks, and aligning the technical approach with how the final solution will actually be used.

  • Jessica miller

    System Understanding

    I study the data and environment in depth — sources, scale, quality, edge cases, and how different components interact. This stage is about uncovering hidden issues early, shaping realistic expectations, and designing a foundation that supports reliable analysis and intelligent systems.

  • Emily evans

    Design & Development

    I design structured pipelines and modular solutions, covering data processing, feature engineering, and model or system development. The focus is on building clean, testable components that are efficient, explainable, and aligned with real-world system behavior.

  • Henry william

    Evaluation & Delivery

    I validate solutions through metrics, stress testing, and iteration, then package outcomes into usable deliverables — whether that’s analytical outputs, trained models, or functional systems. The goal is always to deliver work that is dependable, scalable, and ready to be used.

Resume

Experience

  1. Rangsons Aerospace - Present

    2026

    Working on defence and aerospace software systems, developing mission-critical applications, scalable data pipelines, and ML-based analytics, with a focus on resource-aware solutions under real-world operational and security constraints.

  2. Siemens Facility

    2025

    Contributed to PLC-based industrial automation systems, working with control logic, sensors, and actuators in real manufacturing environments, and gaining hands-on experience in PLC programming, process automation, and system debugging.

Education

  1. SASTRA Deemed University

    2022 — 2026

    B.Tech.Computer Science & Engineering (IoT & Automation)

  2. A.K.K.V Matriculation Higher Secondary School

    Schooling

My skills

  • Python
    90%
  • Machine learning
    70%
  • Data Analytics
    90%
  • IoT
    70%
  • Frontend development
    50%

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