Adan Sarfaraz

About

Senior Python Backend Engineer and AI Application Engineer (7 years) building production REST APIs, scalable cloud systems, and AI-enabled backend services. Hands-on expertise in FastAPI/Flask/Django, REST/microservices, AWS & GCP, Docker/Kubernetes, CI/CD, and production reliability (testing, observability, incident response). Experienced implementing LLM integrations and RAG-style workflows using OpenAI API, LangChain, embeddings, semantic retrieval, pgvector, and vector search, including deployed AI backends and data pipelines. Available immediately for remote work.

Experience

• Senior Backend Engineer · Place Exchange2026

  • Built and maintained Python and Django backend services processing billions of advertising events per month across distributed microservices — owning production reliability, throughput targets, and system health end-to-end. • Designed high-performance REST APIs and real-time streaming workflows using WebSockets and AWS Kinesis — building scalable data pipelines with strict latency and correctness requirements. • Improved system efficiency by reducing data-pipeline volume by approximately 4TB and lowering annual AWS infrastructure cost by roughly $700K through systematic optimisation and root-cause analysis. • Maintained thoroughly tested Python codebases using Pytest and GitLab CI monitoring production systems with Datadog and Prometheus and performing structured incident response.

• Backend & Full-Stack Engineer · TrueCar Inc.2024 – 2026

  • Built and maintained Python/Django REST Framework backend services and APIs for a customer-facing SaaS platform developing well-documented endpoints with extensive Pytest coverage and automated validation pipelines. • Implemented secure API authentication and data handling using OAuth 2.0, JWT, and encryption best practices maintaining compliance-conscious production systems processing sensitive business data. • Built event-driven inventory and data-synchronisation pipelines using AWS Kinesis and SQS designing reliable, idempotent workflows with systematic quality controls and failure-recovery mechanisms. • Deployed and maintained production workloads on AWS with CI/CD automation, feature flags, and automated smoke tests ensuring high uptime and zero-regression releases.

• Senior Software Engineer · Letsremotify2022 – 2024

  • Architected distributed microservices platform using Python, Node.js, and React designing scalable APIs and event-driven service boundaries supporting 100K+ monthly API requests at 99.9% uptime. • Designed and scaled REST APIs on AWS EKS using Docker and Kubernetes owning cloud infrastructure, deployment automation, and production reliability across three client-facing applications. • Reduced deployment time from approximately 45 minutes to 8 minutes by redesigning CI/CD automation enabling fast, safe continuous delivery across production platforms. • Implemented PostgreSQL sharding and connection pooling — reducing database read latency by 60% under peak load through systematic profiling and query optimisation.

• Software Engineer · Devsinc2020 – 2022

  • Built REST and GraphQL APIs using Python backend frameworks for healthcare and e-commerce platforms supporting systems processing 25K+ daily transactions with zero data-loss incidents. • Improved PostgreSQL query performance by 40% through targeted indexing and Redis-backed caching reducing average API response time from 3.2 seconds to 1.9 seconds. • Automated CI/CD workflows reducing deployment failures by 70% and increasing release frequency from biweekly to daily through systematic pipeline improvements.

Education

• University of LahoreBachelor of Computer Science, Computer Science

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