Production Mindset
I focus on systems that can be shipped, monitored, and maintained in real usage.
Open To WorkBackend FocusedAI Systems
Chikte
Backend Engineer (AI Systems)
I build backend systems that power AI products in production. From async pipelines and auth design to deployment and observability, I focus on reliability that survives real traffic.
Core Strength
Async API Architecture
Tools
FastAPI, Flask, Redis, Celery
Deployment
DigitalOcean + Vercel
Hiring Signal
Why Teams Hire Me
I build backend-heavy products with a production-first approach and clear delivery focus.
Backend Ownership
API design, async workflows, auth, data modeling, and deployment handled end-to-end.
Fast Execution
I move from architecture to implementation quickly without sacrificing reliability.
Team Ready
Clear documentation, clean handoffs, and pragmatic engineering decisions in collaborative settings.
About
About Me
I build backend-first AI products with a production mindset. I care about clean services, stable APIs, and deployments that teams can trust.
My recent work includes async task pipelines with Flask, Celery, and Redis, secure auth flows with token lifecycle controls, and conversational recommendation systems powered by Gemini integrations.
I work across the full lifecycle: architecture, implementation, documentation, testing workflows, and deployment across DigitalOcean and Vercel. I optimize for systems that survive real usage.
Graduating May 2026, available immediately. Looking for an early-stage team where I can own backend systems and move fast.
Portfolio
Featured Projects
Production systems built end-to-end: architecture, implementation, and deployment.
Project Case Study9 technologies
CineScope
Full-stack movie platform with conversational recommendations, Redis caching, and secure token rotation.
Problem
Movie discovery and watchlist workflows are fragmented across multiple tools and weak recommendation systems.
Solution
Built a backend-first platform with Gemini recommendations, Redis caching, and secure session controls.
Outcome
Faster repeated lookups, cleaner user journeys, and production-ready movie exploration.
FastAPIPostgreSQLRedisSQLAlchemy 2.0Gemini ProDocker ComposeNext.js
Project Case Study9 technologies
Finsight AI
AI-powered expense manager with async processing, robust auth, and production-ready full-stack deployment.
Problem
Manual expense tracking creates friction, and synchronous AI calls make finance workflows feel slow.
Solution
Implemented queue-backed AI processing with Flask, Celery, and Redis plus secure auth controls.
Outcome
Responsive user experience with resilient async backend behavior under concurrent usage.
FlaskCeleryRedisGemini APIMongoDBDockerNext.js
Engineering Workflow
How I Build
My workflow is focused on shipping robust systems quickly and keeping them easy for teams to extend.
Step 1
Design For Failure
I design service boundaries, retries, and fallback behavior early so the system remains stable under real-world conditions.
Step 2
Build Clean Service Layers
I keep route handlers thin, push business logic into services, and keep data access explicit for easier iteration.
Step 3
Automate Delivery
I deploy with repeatable workflows, environment separation, and docs that let teams ship without hidden tribal knowledge.
Capabilities
Technical Skills
My technical toolbox for building scalable, production-ready applications.
AI / ML
- Google Gemini API (2.5-flash, Pro)
- LLM Integration
- Async AI Processing
- Prompt Engineering
- Vector Embeddings
- Machine Learning
- Scikit-learn
- Pandas
- NumPy
Backend & Data
- Python
- FastAPI
- Flask
- Celery
- Redis
- PostgreSQL
- MongoDB
- SQLAlchemy 2.0
- JWT (PyJWT)
- REST APIs
- Swagger / OpenAPI
DevOps & Tools
- Docker
- Docker Compose
- CI/CD
- DigitalOcean
- Vercel
- Git
- GitHub
- Pytest
Frontend
- TypeScript
- JavaScript
- Next.js
- React
- Tailwind CSS
Credentials
Certifications
Verified credentials from Harvard, Coursera, IBM, and Udemy.
Education
Education
P.R. Pote Patil College of Engineering and Management, Amravati
B.E. in Artificial Intelligence and Data Science | CGPA: 8.0/10.0
Nov 2022 – May 2026
Jagruthi Vidyaalya Akola
Higher Secondary (12th), Computer Science
May 2020 – Jul 2022
Gurukul Dnyanpeeth Telhara
Secondary Education (10th)
Jun 2010 – Mar 2020
Contact
Let's Build Together
Get In Touch
I'm open to new opportunities. Send me a message, and I'll get back to you.
chiktepranav1378@gmail.com