# Devyani Tyagi

Devyani Tyagi is a remote worker on Himalayas, Full Stack and AI Engineering Intern at Programming Pathshala, based in India.

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

```text
Software engineer at Programming Pathshala who shipped a DSA recommender processing 2,500+ problems into semantic vectors.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 30k+ USD |
| Job categories | Software Engineer |
| Skills | Data Structures And Algorithms, C++, Java, Python, JavaScript, NodeJS, fastAPI, REST APIs, Microservices Architecture, Distributed Systems, System Design, Object Oriented Programming, MongoDB, Redis, Relational Databases |
| Website | https://the-decent-engineer.onrender.com |
| Portfolio | https://github.com/DevyanifanofRDJ |
| LinkedIn | https://linkedin.com/in/devyani-tyagi-713591257 |
| GitHub | https://github.com/DevyanifanofRDJ |

## What I'm looking for

```text
I’m seeking SDE-1 roles to build scalable software and grow in a high-ownership engineering culture.
```

## About

```text
At Programming Pathshala, I took full ownership of designing and shipping the backend for a DSA Recommender system. I processed 2,500+ unique problems into 384-dimensional semantic vectors for personalized recommendations.

I built the recommendation engine in Python and FastAPI using cosine similarity, and independently architected a decoupled Node.js and MongoDB data service. The system used microservices architecture and was designed for fault tolerance and horizontal scalability.

On my Build With Decency project, I owned the security architecture, combining Google OAuth 2.0 and JWT authentication with Redis-based OTP caching and token blacklisting. I also implemented rate limiting and injection prevention; the system maintained sub-200ms latency while visualizing 4,000+ live data points.

I also built a Python and scikit-learn pipeline for hallucination detection in LLM outputs, achieving 87% accuracy on a 500-sample benchmark. I’m seeking SDE-1 roles where I can build scalable software and grow in a high-ownership engineering culture.
```

## Experience

### Full Stack and AI Engineering Intern

Programming Pathshala. Jun 2025 - Jul 2025

```text
Designed and shipped a backend for a DSA Recommender system, processing 2,500+ problems into semantic vectors. Built a high-performance AI recommendation engine in Python/FastAPI and a decoupled Node.js/MongoDB data service.
```

Skills: Python, fastAPI, NodeJS, MongoDB, Microservices, Object-Oriented-Design, Cosine-Similarity, REST-APIs

## Education

### ABES Engineering College

B.Tech, Information Technology. 2022 - Present. Grade: 8.1/10

```text
Pursuing B.Tech in Information Technology with a CGPA of 8.1/10, expected graduation in May 2026.
```

## Tech stack

- NumPy
- MongoDB
- Node.js
- Redis
- JavaScript
- Python
- Java
- JSON
- C++
- scikit-learn
- FastAPI
- Git
- AWS

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

## People also viewed

- [Soham Vaghela](https://himalayas.app/@sohamvaghela): Machine Learning Intern, Groovy Web
- [Srestha Mishra](https://himalayas.app/@sresthamishra): IIT Delhi iHub (IHFC), IIT Delhi iHub
- [Anshul Tiwari](https://himalayas.app/@anshultiwari2): SD Intern, LaunchX Labs
- [Nitish Prajapati](https://himalayas.app/@nitishprajapati): Machine Learning Trainee, Pyramid
- [Kaushal Lakshya](https://himalayas.app/@kaushallakshya): Data Analytics & Systems Simulation, IBM SkillsBuild
- [sai teja](https://himalayas.app/@saiteja16): Software Engineering Intern, Aude.ai
- [Harsh Gupta](https://himalayas.app/@harshgupta21): Hackathon Participant, Multiple college and national level hackathons
- [Arin Goyal](https://himalayas.app/@aringoyal): Software Development Intern, Topmate
- [kedar mashalkar](https://himalayas.app/@kedarmashalkar): Full Stack Python Developer Intern, Vertex Career Times
- [Anushka Sharma](https://himalayas.app/@anushkasharma13): AI/ML Intern, Infosys Springboard