Initializing systems...

Available for Contracts/jobs — Worldwide

AI & BackendDeveloper

Prakhar Masih

I build scalable backend systems, AI-powered automation, and data extraction pipelines for international clients — remote-first, deadline-driven, and product-minded.

India — Base

USA

London

Berlin

Dubai

Sydney

Remote — Worldwide

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FastAPIPythonAI IntegrationPostgreSQLMongoDBWeb ScrapingLLM APIsDockerRedisAutomationData ExtractionRemote-FirstFastAPIPythonAI IntegrationPostgreSQLMongoDBWeb ScrapingLLM APIsDockerRedisAutomationData ExtractionRemote-First

01 — About

Not just a developer.
A systems thinker.

Hey — I'm Prakhar.I'm a Backend & AI Systems Developer based in India, working with international clients across time zones. My work sits at the intersection of scalable backend architecture, AI automation, and data intelligence systems.

I don't just write code — I understand business problemsand architect solutions around them. Whether it's a high-throughput FastAPI backend, a web scraping pipeline that feeds structured data to an LLM, or a multi-database system for complex applications — I think in systems, not tickets.

I've delivered production-grade systems for remote clients, collaborated with PMs and cross-functional teams, written documentation, optimized slow queries, and shipped features that just work.

Remote-first workflow

Async communication

Timezone flexible

Ownership mindset

Clear documentation

Deadline driven

Product thinking

System architecture

prakhar@remote:~

~/ cat profile.json

{

"name": "Prakhar Masih",

"role": "Backend & AI Systems Dev",

"location": "India 🇮🇳",

"work": "Remote Worldwide",

"stack": [

"FastAPI", "Python",

"PostgreSQL", "MongoDB",

"LLM APIs", "Docker"

"status": "open_to_work",

"superpower": "AI + Backend + Data"

}

~/ ping availability

✓ Available for remote contracts

✓ Response time: < 24 hours

02 — Skills

Technical Arsenal

⚡

Backend Engineering

PythonFastAPISQLAlchemyAsync / asyncioREST APIsJWT AuthRBACPytestAPI DesignPagination

🗄️

Databases

PostgreSQLMongoDBRedisNeo4jSQLiteSchema DesignAggregation PipelinesIndexingData Modeling

🤖

AI / LLM / Data

OpenAI APIClaude APIPrompt EngineeringNLPWeb ScrapingData ExtractionAutomation PipelinesStructured OutputRLHF Concepts

🐳

DevOps & Tools

DockerLinux / UbuntuGit / GitHubMinIONginxREST ArchitectureDeployment

🎨

Frontend

React.jsNext.jsTailwind CSSAPI IntegrationFullstack (BE-heavy)

🤝

Soft Skills & Work Style

Remote CommunicationCross-timezone CollabClient RequirementsTechnical DocsSystem Design ThinkingPerformance DebugCode ReviewOwnership

03 — Projects

What I've Built

001

AI + Automation

Comedy Show Generator AI

End-to-end AI pipeline that generates comedy show scripts, synthesizes dialogue via chatbot interface, and produces video output. Integrated LLM orchestration with structured prompt engineering and content generation pipeline.

PythonLLM APIsFastAPIPrompt EngineeringVideo Gen

002

AI + RAG

Knowledgebase RAG Chatbot

Knowledge base chatbot built with a Retrieval-Augmented Generation (RAG) approach that answers queries strictly from indexed documents. Ensures accurate, concise, and source-backed responses — no hallucination, only grounded answers.

PythonRAGLLM APIsVector DBEmbeddings

003

AI + Legal Domain

AI Lawyer Chatbot

Domain-specific legal assistant built on top of LLMs with targeted prompt engineering for legal reasoning. Answers law-related queries with contextual accuracy and structured argumentation.

PythonLLM APIsPrompt EngineeringDomain AI

004

Web3 + Blockchain

DApp — My eDiary

Decentralized personal diary application built on blockchain. Entries are stored on-chain, giving users full ownership and immutability of their private records — no central server, no data exposure.

JavaScriptSolidityWeb3.jsBlockchainDApp

04 — Experience

Work History

Jan/2025 — Jan/2026

Backend Developer

ShiftBoolean · (Remote, IND)

Built and scaled FastAPI backend services using async architecture, query optimization, and Redis caching, significantly improving API performance, reliability, and system throughput. Designed a graph-based friend recommendation system using Neo4j and optimized MongoDB aggregations to deliver low-latency, high-relevance suggestions with strong system stability through robust testing.

FastAPIRedisNeo4jMongoDBAsync SystemsSystem Design

Nov/2024 — Jan/2025

AI/ML Engineer

Strollr · (Remote Contract, AU)

Delivered AI-driven backend systems and features for a remote-first product, including NLP pipelines, web scraping infrastructure, and high-performance APIs. Collaborated across time zones to ship reliable, production-ready systems with a strong focus on scalability, performance, and clean architecture.

AI/MLNLPFastAPIMongoDBPostgreSQLRemote Collaboration

Oct/2023 — Nov/2024

AI-Focused Backend Developer

Madeline & Co. · (NYC, Remote Collaboration)

Built AI-powered backend systems for business automation, content generation, and research workflows, including API development, database design, and automation pipelines. Established efficient remote delivery practices, enabling consistent execution and collaboration across distributed teams.

PythonREST APIsAutomationSystem DesignClient Delivery

05 — Case Studies

Engineering Deep Dives

🔍

Scaling a Web Scraping Pipeline for Lead Gen

Built a fully automated pipeline that takes a geographic query, discovers relevant business websites, scrapes structured data, and uses an LLM to extract clean JSON. Handled rate limiting, deduplication, and relevance filtering.

10k+

Records/run

95%

Data accuracy

⚡

Optimizing MongoDB Aggregation for Complex Queries

Identified bottlenecks in multi-stage aggregation pipelines for a real-time ride system. Redesigned schema, added compound indexes, and rewrote pipeline stages — reducing query time dramatically.

Faster queries

60%

Less CPU load

🤖

Building an AI Automation System with Structured Outputs

Designed a prompt engineering architecture that coerces LLM outputs into strict JSON schemas for downstream processing. Implemented retry logic, validation layers, and fallback strategies.

99%

Parse success

Dev speed

🏗️

Designing a Multi-Database Architecture for Social App

Architected a system using Neo4j for graph relationships, MongoDB for user/content data, and Redis for hot-path caching. Designed data flow and sync strategies between all three stores.

DB systems

<50ms

Graph query

06 — Services

What I Offer

Backend Development

Scalable FastAPI backends, RESTful API design, authentication systems, and performance-optimized server architecture.

AI Integration

LLM API integration, prompt engineering, AI-powered workflows, chatbot backends, and structured output systems.

Data Extraction & Scraping

Web scraping pipelines, AI-powered extraction, lead generation systems, and structured data delivery at scale.

Database Design

Schema design for relational and NoSQL databases, aggregation pipelines, indexing strategy, and query optimization.

Automation Systems

End-to-end automation pipelines, workflow orchestration, notification systems, and background job processing.

System Architecture

Early-stage system design, microservice planning, multi-database architecture, and technical documentation.

MVP Development

Fast, clean MVPs for startups — from backend architecture to API-ready systems with the right tech for scale.

Remote Contract Work

Available for part-time or full-time remote contracts. Experienced with async teams, time zone gaps, and clear deliverables.

07 — Contact

Let's build something
extraordinary.

Whether you need a scalable backend, an AI automation system, or a data pipeline — I'm ready to help. Remote-first, deadline-driven, and easy to work with.

✉

prakhar2002masih@gmail.com

→

GitHub

github.com/prakharmasih

→

linkedin.com/in/prakhar-masih-004ba6214/

→

📅

Schedule a Call

calendly.com/prakharmasih

→