# Sagandeep Kaur

Sagandeep Kaur is a remote worker on Himalayas, Web Development Intern at NPTEL, based in India.

Source: https://himalayas.app/@sagandeepkaur

```text
NLP-focused engineer building cloud-native data and ML pipelines with Python, APIs, and scalable infrastructure.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | NLP Engineer Intern, NLP Engineer, MLOps Engineer, Backend Engineer, Full Stack Developer, Natural Language Processing Intern, AI Engineering Intern, AI Engineering Internship |
| Skills | Tailwind, Python, Java, SQL, TypeScript, JavaScript, PHP, HTML CSS, fastAPI, Flask, Next.js, Vue.Js, Express, scikit learn, Pandas, Tailwind UI, Docker, Kubernetes, CI CD Pipelines, OpenTelemetry, Linux, SQLite, PostgreSQL, Data Modeling, RESTful API Design, JWT, Microservices, Celery, Redis, Message Queues, Schedulers, System Design, Load Testing, DVC, GCP, Object Oriented Programming, MLFlow, Faiss, Streamlit, RBAC, Wrk, Test Time Augmentation (TTA), Prompt Injection, GitHub, GitHub Actions, Google Cloud Platform, Google Kubernetes Engine, SAFe |
| Portfolio | https://github.com/Sagankaur |

## What I'm looking for

```text
I’m looking for a role where I can build reliable NLP/ML systems end-to-end—preprocessing, inference, and cloud-native deployment—while leveraging APIs, observability, and CI/CD to ship scalable products.
```

## About

```text
I’m a Data Science student at IIT Madras (B.S. Data Science & Programming) with a strong track record of building production-minded systems. I’ve earned a CGPA of 9.04 and consistently push projects from prototype to reliable deployment.

As a Web Development Intern at NPTEL, IIT Madras, I optimized complex SQL for large-scale reporting, deployed production-grade Flask REST APIs, and automated backend data pipelines using PHP and SQL. I also implemented automated validation routines to ensure backend data quality and schema compliance across live pipelines.

In my NLP Engineering Internship (IIT Madras), I engineered preprocessing pipelines to turn messy text into clean schemas and built internal data visualization components to extract actionable insights from high-dimensional datasets. I also served as a Teaching Assistant (Computer Science), mentoring 100+ students in Python, algorithms, and software engineering practices.

My projects blend NLP, scalable infrastructure, and reliability. I architected a Distributed MLOps & Infrastructure Pipeline using FastAPI, Docker, GitHub Actions, GKE, HPA, OpenTelemetry, DVC, and MLflow—plus safeguards against prompt injection. I’ve also built a FAISS-powered document QA engine, and end-to-end multilingual sentiment and speech pipelines using Gemma LLM and Whisper/Faster-Whisper.
```

## Experience

### Web Development Intern

NPTEL. Sep 2025 - Jun 2026

```text
Developed and optimized complex SQL queries to process large-scale datasets, improving reporting performance and data retrieval speeds. Built and deployed production-grade Flask REST APIs, and automated backend data pipelines in PHP/SQL with validation routines to ensure schema compliance.
```

Skills: REST-APIs, SQL, Flask, PHP, Data-Pipelines, Data-Validation, Performance-Optimization

### Teaching Assistant

IIT Madras. Jan 2024 - Jan 2026

```text
Instructed and mentored 100+ students in core Python programming, foundational algorithms, and software engineering principles. Guided students on clean code practices, logical debugging, and algorithmic problem-solving strategies.
```

Skills: Python, Software-Engineering, Debugging, Teaching, Code-Quality, Mentorship

### NLP Engineering Intern

Department of Management Studies, IIT Madras. Sep 2025 - Dec 2025

```text
Engineered data preprocessing and extraction pipelines to transform unstructured text into cleanly structured schemas. Implemented system-level analysis and optimization for messy real-world datasets and built internal data visualization components for actionable insights.
```

Skills: NLP, data-preprocessing, Data-Pipelines, Data-Cleaning, Data-Visualization, Python, Data-Analysis

## Education

### Indian Institute of Technology Madras

Bachelor of Science, Data Science & Programming. 2023 - 2027. Grade: CGPA: 9.04; Project CGPA: 9.5; IELTS: 7.5

```text
B.S. in Data Science & Programming at IIT Madras on an accelerated track, expected completion by Sept 2027. Achieved CGPA 9.04 (Project CGPA 9.5) and IELTS 7.5 (C1).
```

### CBSE (Class 12)

Grade: 80.2%

```text
Completed CBSE Class 12 with a score of 80.2%.
```

### CBSE (Class 10)

Grade: 92%

```text
Completed CBSE Class 10 with a score of 92%.
```

## Tech stack

- Google Cloud Platform
- GitHub
- Kubernetes
- GitHub Actions
- Pandas
- PostgreSQL
- SQLite
- Gmail
- Next.js
- Tailwind CSS
- Redis
- JavaScript
- Java
- PHP
- MLflow
- scikit-learn
- Streamlit
- FastAPI
- OpenTelemetry
- Linux
- Wrk
- SQL
- Google Kubernetes Engine
- Transform
- Faiss
- Task
- SAFe

To contact Sagandeep, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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