MAAZ ASHRAF / LEAD BACKEND ENGINEER / LAHORE, PAKISTAN
Maaz.
Backend systems for search, routing, onboarding, and platform infrastructure.
I build backend systems that improve conversion, reduce latency, and hold up under production scale. My work centers on distributed services, event-driven processing, cloud infrastructure, search, data onboarding, and the operational parts of a product that directly affect revenue and reliability.
I work on the backend layers that become critical as a product grows: retrieval paths, request routing, async processing, service orchestration, schema mapping, release pipelines, and production observability. The common pattern in this work is that technical improvements have visible business effects.
Across recent roles, I have shipped search systems supporting 800M+ identities, delivered sub-500ms retrieval paths, rebuilt mission-critical services to cut execution time by more than 80%, and launched onboarding and enrichment systems tied directly to conversion and revenue growth.
My primary stack is Node.js, TypeScript, Python, SQL, AWS, and Elasticsearch, with an emphasis on reliability, throughput, fault tolerance, and systems that are legible to operate in production.
Selected Impact
30% increase in lead submissions through profile enrichment workflows.
20% lift in conversion rate and 15% increase in RPC from backend-driven improvements.
$300K+ additional quarterly revenue tied to identity enrichment and conversion gains.
Sub-500ms search and retrieval across systems serving 800M+ identities.
Critical routing path reduced from 1500ms to under 300ms.
70% reduction in manual onboarding work through AI-assisted schema mapping.
30+ automated connectors delivered across ad, storage, and CRM platforms.
70% lower latency on large-scale people and geo-location search workloads.
50%+ faster MongoDB aggregation performance on large user and transaction datasets.
25% increase in automated backend test coverage and 60%+ reduction in manual deployment effort.
Areas
Search and retrieval: Elasticsearch-backed systems, indexing strategies, response-time reduction, and query paths where speed affects product usage and revenue.
Routing and orchestration: Event-driven services, queue-backed processing, request routing, and service coordination designed around latency budgets and reliability.
Data onboarding: Structured data ingestion, CSV onboarding, schema mapping, and connector-based imports that reduce manual handling.
Platform engineering: Cloud-native backend services, infrastructure automation, CI/CD, monitoring, rollback safety, and production visibility.
Enterprise automation: Hiring, scheduling, attendance, support, and internal workflow systems where software replaces repeated operational coordination.
Designed and launched a profile enrichment system on top of the company identity graph, driving 30% more lead submissions, 20% lift in CVR, 15% boost in RPC, and $300K+ in additional quarterly revenue.
Owned search architecture for a platform managing 800M+ identities with Elasticsearch-based retrieval and sub-500ms response times.
Rearchitected a mission-critical intelligent router using Lambda, ElastiCache, CloudWatch, and EventBridge, reducing execution time from 1500ms to under 300ms.
Led an AI-powered CSV onboarding and schema-mapping platform with 30+ automated connectors across Google Ads, Google Drive, Meta, Salesforce, and FreshSales.
Built scalable backend services and event-driven microservices using Node.js, TypeScript, Python, SQS, SNS, and AWS to improve resilience and async throughput across critical platform workflows.
Built a large-scale search engine indexing 80M+ people and 100M+ geo-locations, reducing search latency by 70% and contributing to a 20% lift in conversions.
Defined CI/CD pipelines and infrastructure automation with CloudFormation and GitHub Actions to improve release reliability and rollback safety.
Nextbridge Pvt Ltd
Senior Software Engineer / Jul 2022 - Aug 2023
Led end-to-end backend development for an enterprise HR automation platform covering resume filtering, candidate tracking, interview scheduling, and internal coordination.
Built a Calendly-style scheduling system and an attendance automation bot to reduce operational friction for hybrid and remote teams.
Designed modular backend APIs and service workflows using Node.js and NestJS for a multi-portal SaaS platform.
Integrated Twilio, SendGrid, Stripe, HubSpot, and Webflow to support automated business workflows.
Improved MongoDB aggregation pipeline performance by more than 50% and increased automated test coverage by 25% using Jest and SuperTest.
Supported AWS-based deployments across EC2, S3, Lambda, and CloudWatch while automating CI/CD pipelines with GitHub Actions.
TDC (The Dev Corporate)
Software Engineer / Jan 2021 - Jul 2022
Built backend services for Peoppl, a digital employee engagement platform focused on recognition, rewards, and redemption flows.
Designed core modules for gifting, internal e-store flows, digital certificate generation, inventory handling, and notification delivery.
Implemented transactional workflows for reward redemption and real-time user interactions across distributed product flows.
Built chatbot and real-time communication services for the Swvl platform to improve support efficiency and workflow automation.
Selected Systems
Profile enrichment system: identity-graph workflow to detect unconverted users and enrich profiles, tied directly to leads, CVR, RPC, and revenue.
800M+ identity search: Elasticsearch-powered retrieval architecture delivering sub-500ms responses across very large identity datasets.
Intelligent router service: Lambda- and EventBridge-backed routing layer redesigned for faster, more reliable request orchestration.
AI CSV onboarding platform: schema-mapping and ingestion workflow with 30+ automated connectors across ad, storage, and CRM systems.
People and geo-location search: large-scale indexing across 80M+ people and 100M+ geo-locations with a 70% latency reduction.
Athena-backed data access layer: low-latency querying and dynamic dataset generation over structured S3 data for product and reporting workflows.
Enterprise HR automation platform: backend systems for filtering, candidate tracking, scheduling, and coordination in a custom enterprise environment.