Software Engineer @ Beans.ai

Nikhil Yadav

Software engineer building full-stack applications, production systems, and AI-powered software.

I work across frontend, APIs, databases, and cloud — from React and Next.js interfaces to Java and PHP services on GCP. At Beans.ai I ship production automation and data workflows; in side projects I build RAG systems, marketplaces, and ML applications.

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Currently Working With

React
Next.js
TypeScript
Java
PHP
Python
Flask
PostgreSQL
MySQL
Google Cloud Platform
Docker
Git
LLMs

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About

Software engineer who enjoys building complete products.

I'm Nikhil Yadav, a Software Engineer at Beans.ai. I studied computer science at Sitare University and grew from data analysis and software testing into building production software across the stack.

I work with APIs, databases, and cloud infrastructure in Java, PHP, and Python — and build full-stack side projects with React, Flask, and AI tooling in RAG and ML.

Areas of interest

Full-Stack Development
AI Applications
Cloud Infrastructure
System Design
APIs
Software Architecture

I understand systems before changing them. Clear interfaces, honest testing, and maintainable code matter more than clever shortcuts.

Full-Stack Development
React, Flask APIs, and end-to-end application workflows.
AI Engineering
RAG pipelines and ML applications with LLaMA and PostgreSQL.
Cloud & Data
GCP, MySQL, and data processing in production environments.
Continuous Learning
System design, DSA, and software architecture.

Experience

Professional Journey

From data and QA work into software engineering in production.

Software Engineer
Current
Beans.ai2026 — PresentNoida, India
- Develop and maintain production services in Java, PHP, and Python.
- Work with MySQL for data processing, storage, and reporting workflows.
- Build QA automation for dispatch console flows and related internal tooling.
- Run and extend automation suites on Google Cloud Platform.
- Support data processing pipelines and collaborate on defects and releases.
- Java
- PHP
- Python
- MySQL
- Google Cloud Platform
- QA Automation
- Git
Software Testing Intern
Beans.aiMay 2025 — Aug 2025Noida, India
- Built Selenium WebDriver automation for 130+ regression scenarios in JavaScript.
- Improved test reliability with stronger DOM locators, explicit waits, and dynamic element handling.
- Validated APIs with Postman and verified data correctness with SQL checks.
- Partnered with developers to reproduce, debug, and close defects using Git, Mocha, and Selenium.
- JavaScript
- Selenium
- Mocha
- Postman
- SQL
- Git
Data Analyst Intern
MoglixMay 2024 — Aug 2024Noida, India
- Wrote Python scripts to extract product details, reviews, and URLs from e-commerce sites.
- Built Flask APIs combining Selenium and BeautifulSoup for repeatable scraping workflows.
- Used MongoDB, Postman, and Gemini AI to automate collection and preprocessing.
- Improved extraction efficiency through reusable pipelines and API-driven data flows.
- Python
- Flask
- Selenium
- BeautifulSoup
- MongoDB
- Postman

Current Focus

Production software at Beans.ai
Dispatch console automation and QA tooling
Cloud-native data processing on GCP
System design and distributed systems

Projects

Engineering case studies

Selected work across AI systems, full-stack applications, and ML software — each with a distinct engineering focus.

Featured Project

Featured

Dharma RAG

AI system for Bhagavad Gita queries with semantic search and grounded generation.

An AI-powered Q&A application that retrieves relevant passages from the Bhagavad Gita and generates grounded responses through a Flask API backed by PostgreSQL.

Problem

General-purpose models answer scriptural questions without reliable source grounding. The goal was a focused AI system that retrieves relevant text first, then generates answers from that context.

Solution

I built a RAG pipeline using SentenceTransformers for semantic search and LLaMA 3.1 for response generation. Flask APIs expose query and retrieval endpoints, with PostgreSQL storing documents and supporting efficient lookup.

Python
Flask
PostgreSQL
LLaMA 3.1
SentenceTransformers

Engineering challenges

Retrieval quality for verse-level text
Passages needed to stay semantically complete when chunked. I tuned embedding and retrieval to return coherent context for generation.
Connecting retrieval and generation cleanly
The API had to pass retrieved context into LLaMA 3.1 in a consistent format so responses stayed tied to source material.
PostgreSQL-backed document flow
Indexed documents and retrieval results needed a reliable storage layer. PostgreSQL kept document data and API access in one place.

GitHub Read Case Study

Architecture Preview

Flask API

REST

SentenceTransformers

Retrieval

PostgreSQL

Storage

LLaMA 3.1

Generation

Screenshot placeholder

Dharma RAG

Other Projects

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Campus Marketplace
Campus Marketplace
A complete campus marketplace where students list products, search listings, and manage transactions through RESTful Flask APIs and a React frontend backed by PostgreSQL.
- Python
- Flask
- React
- PostgreSQL
- JavaScript
Architecture Preview
React Client
SPA
Flask API
REST
PostgreSQL
Listings
Search
Browse
GitHub Read Case Study
Screenshot placeholder
ML Chatbot
ML Chatbot
An ML-powered chatbot that answers technical questions using semantic retrieval from PostgreSQL and context-aware generation with LLaMA 3.1, with Scikit-learn supporting the ML workflow.
- Python
- Flask
- PostgreSQL
- LLaMA 3.1
- Scikit-learn
Architecture Preview
Flask API
Chat
PostgreSQL
Documents
LLaMA 3.1
Generation
Scikit-learn
ML
GitHub Read Case Study

Engineering Identity

How I think, what I build, and what I'm focused on as an engineer.

Engineering Principles

Understand Before Building
I spend time understanding systems before implementing solutions.
Maintainability First
Readable and maintainable software is more valuable than clever code.
Think in Systems
I enjoy understanding how frontend, APIs, data, and cloud fit together.
Measure Before Optimizing
Profile first. Optimize later.
Continuous Learning
I improve through production work, DSA, system design, and AI.
Build for Scale
Design software that can evolve without major rewrites.

Currently Exploring

Distributed Systems
AI Agents
System Design
Software Architecture
Cloud Infrastructure
Full-Stack Architecture
LLM Evaluation
PostgreSQL Optimization
Vector Databases
Docker

What I'm Building Now

Current FocusProduction Software at Beans.ai
LearningDistributed Systems
BuildingPersonal Portfolio
StudyingAdvanced System Design
ExploringAI-Powered Applications

Engineering Philosophy

“I enjoy building software that stays simple as it grows. The best systems are easy to understand, easy to debug, and easy to extend.”

Outside Coding

Reading about Software Architecture
Improving Communication Skills
Daily DSA Practice
Learning AI
Building Side Projects

Professional Presence

Connect, verify my work, and review my background.

Resume

Software Engineer @ Beans.ai

Nikhil Yadav

Software engineer at Beans.ai working across Java, PHP, Python, MySQL, and GCP. Background in data analysis, QA automation, and AI side projects.

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Professional Profiles

Current Availability

Available for

Software Engineering
Full-Stack Development
AI Engineering
Open Source
Technical Discussions

Professional Highlights

Current Role
Software Engineer @ Beans.ai
Core Expertise
Full-Stack Development
Current Focus
Backend Systems + AI
Learning
Distributed Systems

Continuous Learning

Learning roadmap

System Design
Distributed Systems
Software Architecture
Cloud Infrastructure
AI Engineering
Database Internals

Contact

Get in Touch

Reach out for engineering conversations, opportunities, or collaboration.

Software Engineer @ Beans.ai

Nikhil Yadav

Noida, India

Email: nikhilyadav1921@gmail.com

Currently working as a Software Engineer at Beans.ai. I'm always happy to connect with engineers, recruiters, and developers interested in full-stack development, cloud systems, distributed systems, AI applications, and production software.

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Nikhil Yadav

Software engineer who enjoys building complete products.

Professional Journey

Software Engineer

Software Testing Intern

Data Analyst Intern

Engineering case studies

Dharma RAG

Campus Marketplace

ML Chatbot

Engineering Principles

Currently Exploring

What I'm Building Now

Engineering Philosophy

Outside Coding

Resume

Professional Profiles

Current Availability

Professional Highlights

Continuous Learning

Nikhil Yadav

Software engineer who enjoys building complete products.

Professional Journey

Software Engineer

Software Testing Intern

Data Analyst Intern

Engineering case studies

Dharma RAG

Campus Marketplace

ML Chatbot

Engineering Principles

Currently Exploring

What I'm Building Now

Engineering Philosophy

Outside Coding

Resume

Professional Profiles

Current Availability

Professional Highlights

Continuous Learning