Hire me
Python Backend Developer · Jaipur, IN
Open to remote
Available for new projects · 2025

I build software
that works.

Python backend developer with 1+ year crafting production Django systems — REST APIs, async pipelines, microservices, and the database tuning that makes them all fast. Currently shipping at CreateBytes.

At a glance
1.5+Years of experience
100+Cameras in production
RAGCurrently building
PythonFastAPIRAGQdrantAWS
✦
Remote-ready
Open to new opportunities
Currently
Software Developer
at CreateBytes
Specialty
Django + DRF,
async & microservices
Education
B.Tech CSE Honours
RTU Jaipur, 2025
Looking for
Remote backend roles
product or service-based
◆Python◆Django◆DRF◆FastAPI◆RAG◆Qdrant◆Claude◆OpenAI◆Celery◆Redis◆RabbitMQ◆PostgreSQL◆Docker◆AWS◆GCP◆WebSockets◆Stripe◆Razorpay◆Open to remote◆Python◆Django◆DRF◆FastAPI◆RAG◆Qdrant◆Claude◆OpenAI◆Celery◆Redis◆RabbitMQ◆PostgreSQL◆Docker◆AWS◆GCP◆WebSockets◆Stripe◆Razorpay◆Open to remote◆Python◆Django◆DRF◆FastAPI◆RAG◆Qdrant◆Claude◆OpenAI◆Celery◆Redis◆RabbitMQ◆PostgreSQL◆Docker◆AWS◆GCP◆WebSockets◆Stripe◆Razorpay◆Open to remote◆Python◆Django◆DRF◆FastAPI◆RAG◆Qdrant◆Claude◆OpenAI◆Celery◆Redis◆RabbitMQ◆PostgreSQL◆Docker◆AWS◆GCP◆WebSockets◆Stripe◆Razorpay◆Open to remote
01 / About
Engineering is a craft,
not a commodity.
Anubhooti · Jaipur · Available now

I'm Anubhooti Nagar — a Python backend developer who cares about the difference between code that runs and code that lasts. I got into programming in college, fell in love with how Django turned messy ideas into production systems, and never really stopped.

My specialty is the parts of the stack most people don't see: REST API design, async pipelines, database query tuning, and the migrations that don't break at 2am. For over a year I've been owning Django + DRF systems end-to-end at CreateBytes — from serializer-level validation, through Celery + Redis task queues, all the way to Dockerized CI/CD and structured production logging. I care about the 10% that separates good software from great software.

At CreateBytes I drove a migration from monolithic components to fault-tolerant event-driven microservices that cut downtime by 40%, set up Celery async queues that reduced execution latency by 35%, and automated CI/CD pipelines reducing manual deployment effort by 60%. I've shipped Yugyog.ai — a multi-tenant CCTV analytics platform supporting 100+ cameras in production — and Spolto, a sports coaching backend with Razorpay billing maintaining 99.9% payment consistency.

Before backend, I spent a summer at Celebal Technologies doing data science — EDA, feature engineering, model tuning with Scikit-learn — which left me with a healthy respect for clean data and a habit of profiling everything before optimizing. I graduated with a B.Tech (Honours) in Computer Science from Rajasthan Technical University in 2025.

I believe in code reviews that teach, documentation that actually gets read, and tests that catch real bugs — not just inflate coverage numbers. Good software is invisible to its users. My job is to keep the seams hidden. I'm open to remote roles — product or service-based — where I can keep shipping reliable systems and learn from engineers who take the craft seriously.

02 / Experience
Where I've
been shipping.
CurrentFeb 2025 – Present
Software Developer
CreateBytes · Gurugram, IN
Built and optimized Django + DRF REST APIs with serializers, viewsets, custom middleware, and Redis caching. Maintained high test coverage with pytest — improving p95 response times by 30%.
Drove migration from monolithic components to fault-tolerant, event-driven microservices with RBAC, reducing system downtime by 40% and enabling independent service scaling.
Set up Celery + Redis async task queues with retry logic for background jobs — cutting execution latency by 35% under concurrent load.
Automated CI/CD pipelines with Docker, environment-based configuration, structured logging, and health checks — reducing manual deployment effort by 60%.
DjangoDRFCeleryRedisDockerPostgreSQLCI/CD
01
InternshipMay 2024 – Aug 2024
Data Science Intern
Celebal Technologies · Jaipur, IN
Executed exploratory data analysis and feature engineering on structured datasets using Python, Pandas, and SQL — improving model readiness by 25% and reducing preprocessing time by 20%.
Optimized classification models via Scikit-learn through cross-validation and hyperparameter tuning — achieving a 10% improvement in prediction performance over baseline.
PythonPandasScikit-learnSQLEDA
EducationJun 2021 – May 2025
B.Tech, Computer Science & Engineering (Honours)
Rajasthan Technical University · Jaipur
Core CS coursework in Data Structures & Algorithms, OOP, Operating Systems, and Database Management.
Built backend-heavy capstone projects during the program — laying the foundation for systems-thinking.
03 / Skills
Tools in my
daily rotation.
Languages & Core CS
PythonJavaSQLDSAOOP
Frameworks & APIs
DjangoDRFFastAPIPydanticREST API designJWT Auth
AI & LLM
RAGQdrantAnthropic ClaudeOpenAIPortkeyspaCy
Async & Messaging
CeleryRedisRabbitMQWebSocketsRedis Pub/SubGCP Pub/Sub
Databases & Optimization
PostgreSQLAuroraMySQLMongoDBNeo4jQuery Optimization
Cloud & Infra
AWS (Lambda/ECS/S3)GCPDockerCI/CDGitHub ActionsLinuxOpenTelemetry
Testing & Integrations
PytestMicrosoft GraphSharePointDatabricksServiceNowStripeRazorpayTwilio
Py
Python
Language
Dj
Django
Framework
◉
FastAPI
API
AI
Claude / OpenAI
LLM
Qd
Qdrant
Vector DB
⌘
RAG
Retrieval
⚡
Celery
Async
R
Redis
Cache & Broker
PG
PostgreSQL
Database
☁
AWS / GCP
Cloud
Dk
Docker
Container
⚙
CI/CD
DevOps
04 / Work
Selected
work →

Scroll or use arrows · swipe on mobile

01AI Surveillance
Yugyog.ai
Multi-tenant CCTV analytics platform with real-time event distribution and NLP-based video search.
Multi-tenant backend with JWT auth, RBAC, rate limiting — supporting 100+ cameras in production.
Real-time dashboard over WebSockets + GCP Pub/Sub, with RabbitMQ fanout — cut incident detection time by 60%.
HLS video streaming with GCP presigned URLs, thousands of events/day with load-tested throughput.
spaCy-powered NLP video search — cut manual review effort by 70%.
Stripe billing with idempotent webhook validation — 99.9% payment consistency.
DjangoDRFPostgreSQLCeleryRedisRabbitMQWebSocketsGCPStripe
02Agentic RAG
Enterprise AI Assistant
Conversational access to organizational knowledge across SharePoint, OneDrive, Databricks, Neo4j, and ServiceNow — built as an agentic RAG platform.
Backend services for an enterprise assistant over SharePoint, OneDrive, Microsoft Graph, Databricks, Neo4j, and ServiceNow through an agentic RAG architecture.
Project-based workspaces with RBAC, custom AI instructions, and source/catalogue scoping, with access checks via Microsoft Graph.
Multimodal knowledge-base pipeline ingesting PDFs, presentations, spreadsheets, and audio/video via vision understanding and transcription.
Hybrid dense and sparse retrieval on Qdrant with recursive chunking and LLM-based chunk quality scoring.
Agent orchestration over Anthropic Claude and OpenAI via Portkey — tool calling, sandboxed code execution, streaming over Redis Pub/Sub — deployed on AWS Lambda, Batch, Aurora, and S3.
FastAPIQdrantClaudeOpenAIRAGAWSRedisNeo4j
03Sports & Coaching
Spolto
Sports coaching, subscriptions and CMS workflows — built for high-volume secure auth and payments.
Django backend with custom middleware, Redis caching, composite indexing and ORM tuning — improved API response time by 200ms.
OTP-based auth via Twilio + AWS SNS, with JWT issuance, refresh handling and rate limiting on auth endpoints.
Razorpay integration with idempotent webhook verification — 99.9% payment consistency across subscription workflows.
DjangoDRFPostgreSQLRedisRazorpayAWSTwilioDocker
04Data Science
Loan Prediction Model
Classification pipeline for predicting loan approvals based on applicant features.
Analyzed 10K+ records via EDA and feature engineering to identify key approval drivers.
Trained and evaluated classification models — improved baseline prediction accuracy with cross-validation and tuning.
PythonPandasScikit-learnSQLEDA
05 / Contact
Let's make
something great.

I'm open to remote backend roles, freelance Django projects, and interesting problems worth solving. If it's worth building, I want to hear about it.