Backend Developer
8+ years exp
5+ years ML exp
SQL
TypeScript
JavaScript
Python
Node JS
Active 2 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Senior Full Stack AI & Backend Engineer with 8+ years of experience building and scaling production backend systems. Specialized in Python-based backend architectures (Django/FastAPI/Flask) and performance optimization with PostgreSQL and TimescaleDB. Experienced with AI pipeline engineering including RAG workflows with multi-agent orchestration and vector search using Pinecone.
Technical skills
SQL
TypeScript
JavaScript• 8y+
Python• Senior • 5y+
Node JS• Junior
Python
Celery
SQLAlchemy
Django• 8y+
Flask• 8y+
Asyncio• 5y+
FastAPI• 5y+
Node JS
Express
Nest.JS
Databases
PostgreSQL• 8y+
Redis• 8y+
Pinecone• 5y+
TimescaleDB
Milvus
Qdrant
AI/ML
Fine-tuning
Hallucination
LangChain
LlamaIndex
LLM
Prompt Engineering
PyTorch
RAG
RLHF
Time Series Forecasting
Computer Vision• 5y+
LangGraph
Pandas
Scikit-learn
Transformers
Frontend
Next.js
Redux
Tailwind CSS
PostCSS
React.js• 8y+
Redux Toolkit• 7y+
Mobile
State Management
DevOps
Amazon EC2
Amazon EKS
AWS
AWS Lambda
CI/CD
GCP
Git
GitHub Actions
gRPC
Kubernetes
WebSockets
Rest API
Docker• 5y+
Vector
QA
Pytest• 5y+
Timeline
Senior Backend & Predictive Analytics Engineer
•
Senior
Reventure App
•
Full-Time
Designed a multi-threaded Python ETL workflow in Django to aggregate large housing datasets across ZIP codes and support high-throughput requests. Co-developed a time-series price forecasting engine using scikit-learn and pandas. Optimized PostgreSQL and TimescaleDB query performance by refactoring schemas into partitioned tables and tuning indexes to significantly reduce API latency. Built a Node.js microservice layer for premium queries, Stripe webhook handling, and PDF report compilation, plus a React UI for analytics.
Python
Django
PostgreSQL
TimescaleDB
Scikit-learn
Pandas
Node JS
React.js
Senior Full Stack AI & Backend Engineer
•
Senior
Datopian
•
Full-Time
Built an automated visual AI tagging and classification pipeline using Python with FastAPI and asyncio, enabling low-latency vector search over large media collections. Developed and maintained open data management platforms and custom CKAN extensions for institutional deployments, combining Python (Flask/Django), React, and Docker. Implemented multi-agent RAG workflows with LangGraph to connect LLMs with enterprise data sources, improving retrieval accuracy. Added automated PyTest coverage and developed computer-vision processing microservices to populate vector indexes.
Pythonsince 2021
FastAPI
Asyncio
Flask
Django
React.js
Docker
LangGraph
Pinecone
Computer Vision
Pytest
Full Stack Engineer
•
Middle
Devsinc
•
Full-Time
Developed backend REST APIs and validation layers, optimizing PostgreSQL queries and schema indexes to reduce latency during traffic spikes. Built web applications and workflow tools using Django/Flask on the backend and React on the frontend. Consolidated user management dashboards and standardized client state management, including Redux Toolkit usage. Improved application throughput by refactoring API routes and adding Redis-based caching for sessions.
PostgreSQLsince 2018
Djangosince 2018
Flasksince 2018
React.jssince 2018
JavaScript
Redux Toolkit
Redis
Lahore University of Management Sciences (LUMS)
Master's Degree •
Computer Science
