ParmodAI/ML Engineer

About

Engineer first. Evidence always.

I’m Parmod, an AI/ML engineer based in Jhajjar, Haryana, India. I build reliable AI applications, product analytics systems, ML APIs and production-oriented infrastructure designed to be tested, observed and reviewed.

My background combines mathematics and computer science, an M.Sc. in Computer Science and four technical internships. My current focus is self-directed portfolio engineering across RAG, analytics, MLOps, cloud delivery and reliability.

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Current work

Independent AI/ML Engineer — Project-Based Engineering

Jul 2025–Present

Project-based engineering
  • Designing and shipping versioned AI/ML systems with reproducible tests, explicit claim boundaries and deployment evidence.
  • Building across product analytics, distributed reliability, ML governance and evidence-grounded generative AI.

Scope clarification

Self-directed portfolio engineering work; not employment or paid client engagements unless explicitly identified otherwise.

Experience

Applied Across Research and Delivery

Software Developer Intern — AI/ML

OpenQQuantify USA · Remote

15 Jan 2025 – 14 Jul 2025
  • Built and integrated ML, LLM, RF/IoT visualization and emulation prototypes.
  • Worked across Flask services, Dockerized tooling, error handling and CI/CD workflows.
  • Documented system boundaries and operational behavior for technical review.

AI Research Intern

Coding Jr / Code4Bots Technologies Pvt. Ltd. · Remote

1 Feb 2025 – 30 Apr 2025
  • Researched AI co-pilot workflows, automation opportunities and product integration patterns.
  • Collaborated on an evidence-led technical and business presentation.

Data Science Intern

Innomatics Research Labs · Remote

11 Sep 2024 – 10 Dec 2024
  • Completed advanced data analysis followed by machine learning and generative AI programs.
  • Built RAG and NLP workflows using LangChain, vector retrieval and LLM APIs.
  • Presented technical findings through project documentation and writing.

Data Science Intern

Acmegrade Pvt. Ltd. · Remote

9 Jul 2024 – 9 Sep 2024
  • Built supervised-learning workflows for car-price and Parkinson's prediction projects.
  • Practiced exploratory analysis, feature engineering, model comparison and evaluation.

Journey

A Deliberate Path Into AI/ML Engineering

  1. Undergraduate degree

    B.Sc. Non-Medical with Computer Science

    Vaish College, Rohtak

    Affiliated with Maharshi Dayanand University, Rohtak

    Established a foundation in mathematics, computing and analytical problem solving.

  2. Independent preparation

    Defence Examination Preparation

    Developed discipline and structured problem solving through independent entrance-exam preparation.

  3. Postgraduate degree

    M.Sc. Computer Science

    A.I.J.H.M. College, Rohtak

    Affiliated with Maharshi Dayanand University, Rohtak

    Advanced my computer science foundation before moving into applied AI/ML engineering.

Technical range

Skills Connected to Engineering Work

Product Analytics

Cohort AnalysisFunnelsA/B TestingExperimentationProduct MetricsSQL

Machine Learning

Scikit-learnPyTorchTensorFlowXGBoostFeature EngineeringEvaluationSHAP

AI & Language Systems

RAGLangChainFAISSFinBERTTransformersLLM APIsGrounded Generation

MLOps & Engineering

FastAPIDockerKubernetesAWSGCPGitHub ActionsOpenTelemetryModel Monitoring

Programming

PythonSQLPostgreSQLRedisPandasNumPyReact