AI & Backend Experience

Production systems, enterprise AI pipelines, API reliability, and cloud delivery across client-facing engineering roles.

Current Role

AI Systems & Backend Engineer

CCRIPTRemote
March 2026 - Present
35% manual work reduction
1M+ daily requests
Sub-200ms latency
99.9% uptime
Multi-agent AIRAGFastAPICI/CD

Building production multi-agent systems, API platforms, and AI data workflows for client environments where reliability, latency, and integration quality matter.

Key Achievements

Built custom multi-agent systems combining deep learning and reasoning, reducing manual tasks by 35%
Architected scalable APIs and data pipelines processing 1M+ daily requests with sub-200ms latency and 99.9% uptime
Implemented real-time tool use, advanced RAG, and deterministic API calling for legacy enterprise software, cutting data latency by 12%
Integrated full-stack LLM workflows and optimized cloud infrastructure via CI/CD pipelines, accelerating release cycles by 15%
2026 - Now

AI Engineer

NexiumLahore
Feb 2025 - Jan 2026
10+ enterprise engagements
35% latency reduction
AI SaaSNext.jsSupabasePipelines

Translated enterprise customer requirements into AI pipelines and high-performance SaaS architecture across product and engineering teams.

Key Achievements

Translated customer requirements into comprehensive AI pipelines across 10+ enterprise engagements
Architected high-performance AI SaaS products using Next.js and Supabase, reducing system latency by 35%
2025 - 2026

MEAN Stack Developer

10PearlsLahore
Dec 2024 - Feb 2025
5+ REST APIs
30% data flow efficiency
MEANREST APIsAngularTeam Delivery

Worked across responsive interface development and REST API optimization in a client-focused engineering environment.

Key Achievements

Built responsive UI components and optimized 5+ RESTful APIs, improving data flow efficiency by 30%
Collaborated with cross-functional teams to deliver client-focused web solutions ahead of schedule
2024 - 2025

Software Developer

TechlogixLahore
Aug 2024 - Dec 2024
10% performance lift
8% uptime improvement
MicroservicesCloudReliabilityPerformance

Contributed to scalable web and microservice foundations while gaining hands-on experience with distributed cloud integrations.

Key Achievements

Contributed to scalable microservice architectures, optimizing overall system performance by 10%
Implemented distributed cloud integrations, boosting service uptime by 8% and improving system reliability
2024
Systems With Measurable Impact

Each role sharpened my ability to connect AI workflows, backend architecture, and product delivery into reliable software.