Sarabjit D.

Backend & Automation Engineer

About

Full Stack Python Engineer specializing in backend development, automation systems, API integrations, and AI-driven workflows. I build scalable backend platforms and intelligent automation systems that connect multiple services and streamline complex business processes.My primary expertise is in developing production-grade applications using Python frameworks such as FastAPI and Django, designing REST APIs, integrating third-party services, and deploying reliable cloud infrastructure.I have hands-on experience building automation systems that integrate payment platforms, communication APIs, AI services, and CRM systems to create efficient and scalable workflows.Key expertise:Backend & API Development• Python, FastAPI, Django• REST API architecture and microservices• Webhooks and event-driven systems• Scalable backend system designAutomation & Integrations• Business workflow automation• API integrations with third-party services• Payment gateway integrations (Stripe and similar systems)• Communication automation using Twilio APIs• CRM automation and system integrationsAI & Intelligent Systems• AI assistants and agents using OpenAI APIs• AI voice assistant workflows• AI-powered automation pipelines• Conversational AI integrationsCloud & Infrastructure• AWS cloud services• Docker environments and deployment workflows• Secure and scalable backend infrastructureFrontend Development• React.js for modern web interfaces• API integration with frontend applications• Building dashboards and operational toolsMy work includes developing AI voice assistant systems, automation pipelines connecting telephony services with CRM platforms, payment processing workflows, and backend architectures capable of handling large-scale API interactions.I enjoy solving complex engineering problems and building systems that combine automation, AI capabilities, and scalable infrastructure.Currently based in the UAE and available for immediate opportunities as a Python Developer, Backend Engineer, Automation Engineer, or AI Integration Engineer.

Country

United Arab Emirates

City

Dubai

Industry

Computer Software

Skill

Automation, AI Agents, Python (Programming Language), Django, React.js, Artificial Intelligence (AI), API Development, Snowflake Cloud, Kubernetes, Test Automation, MinION Object Storage Suite, Azure OpenAI, API Testing, FastAPI, Continuous Integration and Continuous Delivery (CI/CD), Test Automation Frameworks, Secruity test, Playwright, Docker, LambdaTest

Experience

Backend & Automation Engineer

Saadah Investment LLC

2025-7 - 2026-3 · 9 mos

Abudabi

🔹 Automated financial reporting and compliance workflows using Python and Django, reducing manual effort by ~75% 🔹 Built portfolio analytics and monitoring systems integrating Binance and OKX REST APIs for real-time trading insights 🔹 Designed scalable backend services using FastAPI and PostgreSQL handling high-volume financial data with Redis caching 🔹 Deployed LLM-based automation for compliance document Q&A using LangChain and vector search (Milvus) 🔹 Implemented CI/CD pipelines using GitHub Actions with Docker and Kubernetes for containerized deployments 🔹 Improved production reliability through structured logging, monitoring, alerting, and background task orchestration (Celery) 🔹 Applied AWS IAM least-privilege access and secrets management for secure API authentication in UAE financial environments

Python Backend Developer

Vetted Talents

2025-2 - 2025-8 · 7 mos

France

🔹 Designed Python backend services handling 5,000+ API requests per day with fault-tolerant async architecture 🔹 Integrated AI-powered Twilio Voice and WhatsApp APIs for automated appointment scheduling and reminders 🔹 Built LLM-powered async pipelines using OpenAI and LangChain for multi-turn conversational AI agents 🔹 Optimized PostgreSQL queries and Redis caching, reducing API latency by ~40% 🔹 Implemented fault-tolerant async workflows using asyncio and aiohttp for high-volume message processing 🔹 Contributed to CI/CD automation and deployment reliability using GitHub Actions

Data Analyst

Portdex - Blockchain Technology R&D

2023-10 - 2025-3 · 1 yr 6 mos

London, United Kingdom

🔹 Developed ETL pipelines in Python processing 2M+ blockchain transactions per month with automated quality checks 🔹 Integrated GPT-4 powered trading analytics and automated decision logic into production workflows 🔹 Built Zapier and Make (Integromat) automation pipelines for reporting, eliminating ~85% of manual work 🔹 Designed real-time data sync systems between blockchain networks and internal PostgreSQL databases 🔹 Automated dashboards and Google Sheets reporting using REST APIs and GPT-powered scripts 🔹 Built semantic search and embedding-based retrieval systems for blockchain transaction pattern analysis

Python Developer

Vcodify Technologies Pvt ltd

2023-6 - 2023-11 · 6 mos

Chandigarh, India

Built LinkedIn data scraping and enrichment pipelines integrated with Apollo.io supporting lead generation at scale 🔹 Developed Flask-based microservices with JWT authentication and rate limiting for secure API endpoints 🔹 Improved pipeline reliability by ~60% through intelligent retry logic, rate limiting, and data validation 🔹 Integrated OpenAI APIs for NLP-based data enrichment and intelligent lead qualification and scoring

python Developer

Maskottchen Technology

2022-7 - 2023-6 · 1 yr

India

🔹 Developed scalable web scraping and RPA frameworks using Selenium and Playwright for automated data extraction 🔹 Implemented distributed background processing with Celery and Redis for high-volume task orchestration 🔹 Built REST APIs and data processing modules for client automation workflows 🔹 Developed data transformation pipelines and automated reporting workflows for multiple clients

Python Developer

Solitaire Infosys Inc

2021-7 - 2021-9 · 3 mos

Mohali district

🔹 Built Python scripts and automation tools for internal data processing workflows 🔹 Assisted in developing REST APIs and backend modules using Flask 🔹 Gained hands-on experience with databases, API integration, and Python best practices