Hi, I'm Rahul — AI Engineer.

Available for opportunities
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About me.

AI Engineer building end-to-end intelligent applications — RAG pipelines, LLM-powered backends with Python & FastAPI, and React UIs that bring it all together.

Skills & Stack

Languages

Python logo
Python
SQL logo
SQL
JavaScript logo
JavaScript
TypeScript logo
TypeScript

Frameworks / Libraries

FastAPI logo
FastAPI
LangChain
React logo
React
Pandas logo
Pandas
NumPy logo
NumPy
Scikit-learn logo
Scikit-learn

AI

RAG
LLM Integration
Prompt Engineering
AI Agents
NLP logo
NLP
Embeddings
Vector Databases logo
Vector Databases
Semantic Search
Reranking
Chunking Strategies

Databases

PostgreSQL logo
PostgreSQL
pgvector logo
pgvector

Tools & Platforms

Docker logo
Docker
Git logo
Git
GitHub logo
GitHub
Selenium logo
Selenium
Playwright

India

(Asia/Kolkata)

Experience

Software Engineer Intern

Sept 2025 - Mar 2026

RedSeal
Current

Leveraged AI prompting techniques and LLM-assisted workflows to accelerate debugging and improve testing infrastructure.

Leveraged AI prompting techniques and LLM-assisted workflows to accelerate debugging, reducing investigation time by 30%.
Engineered automated browser test suites using Playwright and Selenium, improving test coverage and reducing manual effort by 40%.
Implemented Behavior-Driven Development (BDD) for structured, maintainable test cases across the application.
Managed version control and collaborative development using Git and GitHub in a distributed team.
Operated in Linux environments for debugging, process execution, and system-level operations.

Machine Learning Intern

Jul 2024 - Aug 2024

Oasis Infobyte

Built and deployed end-to-end machine learning pipelines with data preprocessing, model training, and optimization.

Built and trained machine learning models using Scikit-learn on 100K+ data points, improving prediction accuracy by 15%.
Processed and transformed structured datasets using Pandas and NumPy for feature engineering and model input.
Optimized model performance through hyperparameter tuning, increasing inference efficiency by 25%.
Deployed 3 end-to-end ML pipelines covering data ingestion, preprocessing, training, and evaluation.

Open Source Contributions

Building and giving back to the community.

© 2026 Rahul. All Rights Reserved.