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Manas Jha

@manasjha2

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Backend Developer Intern at WhatBytes who developed AI agents and Dockerized 10+ ETL pipelines.

India

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At WhatBytes, I developed a Python-based AI agent with Redis-backed caching and prompt chaining, and built and Dockerized 10+ ETL pipelines using Airbyte CDK. I also worked on Django and React.js features, REST API testing, and third-party API integrations.

At Swapeco Solutions Pvt Ltd., I engineered a multimodal AI agent with LangGraph and Pinecone, using RAG for document retrieval. I also optimized a scikit-learn model and deployed the solution on AWS EC2.

In personal projects, I built Distributed-API-Gateway, an asynchronous FastAPI reverse proxy with Redis-based distributed rate limiting, and Nexum, a conversational agent for finding files in Google Drive. I’ve also contributed to Django and LangChain backend development with the Computer Society of India.

Experience

Work history, roles, and key accomplishments

Backend Developer Intern

WhatBytes

Nov 2025 - Apr 2026 (5 months)

Engineered production-grade Python-based AI agent with Redis-backed caching and improved LLM response quality through prompt chaining. Developed features and resolved critical bugs in a full-stack application using Django and React.js, with unit and integration testing of REST APIs.

Python Django React Redis Docker AWS CDK REST APIs Postman Testing Debugging

Machine Learning Engineer Intern

Swapeco Solutions Pvt Ltd.

Jun 2025 - Aug 2025 (2 months)

Engineered a multimodal AI agent using LangGraph and Pinecone, implementing Retrieval-Augmented Generation (RAG) with document chunking, vector embeddings, and retrieval. Optimized an ML model built using Python and Scikit-learn through data preparation, feature engineering, cross-validation, and evaluation using Precision, Recall, and F1-score, deploying the solution on AWS EC2.

Python LangGraph Pinecone RAG scikit learn EC2 Data Preparation Feature Engineering Cross Validation Precision Recall F1 Score

Python Developer (Team Lead)

Computer Society of India

Oct 2023 - Nov 2024 (1 year 1 month)

Led a frontend development seminar for 300+ participants while contributing to Django and LangChain-based Python backend development within a 15-member team.

Python Django Lang Chain Frontend Development Team Leadership