Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I’m Shoaib Abid, a Senior AI/ML and Backend Engineer based in Lahore, focused on building production-grade, high-concurrency systems and practical GenAI solutions. Over 5+ years, I’ve architected agentic AI pipelines, advanced RAG/Graph RAG solutions, and LLM-backed workflows that integrate directly with real-world business operations—especially in telecom, fintech, and healthcare. I enjoy turning complex requirements into reliable software: designing fault-tolerant FastAPI backends, implementing scalable ETL/ELT pipelines, and strengthening LLM/MLOps with evaluation, CI/CD, and model lifecycle tooling. Recently, I’ve been deploying multi-agent systems for enterprise automation (including ticketing and IVR/voice agents) and predictive deep learning for operational forecasting, with an emphasis on measurable outcomes and low-latency user experiences.…I’m Shoaib Abid, a Senior AI/ML and Backend Engineer based in Lahore, focused on building production-grade, high-concurrency systems and practical GenAI solutions. Over 5+ years, I’ve architected agentic AI pipelines, advanced RAG/Graph RAG solutions, and LLM-backed workflows that integrate directly with real-world business operations—especially in telecom, fintech, and healthcare. I enjoy turning complex requirements into reliable software: designing fault-tolerant FastAPI backends, implementing scalable ETL/ELT pipelines, and strengthening LLM/MLOps with evaluation, CI/CD, and model lifecycle tooling. Recently, I’ve been deploying multi-agent systems for enterprise automation (including ticketing and IVR/voice agents) and predictive deep learning for operational forecasting, with an emphasis on measurable outcomes and low-latency user experiences.

Shoaib Abid

AI Engineer, Data Scientist, Software Engineer, +2





I’m Shoaib Abid, a Senior AI/ML and Backend Engineer based in Lahore, focused on building production-grade, high-concurrency systems and practical GenAI solutions. Over 5+ years, I’ve architected agentic AI pipelines, advanced RAG/Graph RAG solutions, and LLM-backed workflows that integrate directly with real-world business operations—especially in telecom, fintech, and healthcare. I enjoy turning complex requirements into reliable software: designing fault-tolerant FastAPI backends, implementing scalable ETL/ELT pipelines, and strengthening LLM/MLOps with evaluation, CI/CD, and model lifecycle tooling. Recently, I’ve been deploying multi-agent systems for enterprise automation (including ticketing and IVR/voice agents) and predictive deep learning for operational forecasting, with an emphasis on measurable outcomes and low-latency user experiences.…I’m Shoaib Abid, a Senior AI/ML and Backend Engineer based in Lahore, focused on building production-grade, high-concurrency systems and practical GenAI solutions. Over 5+ years, I’ve architected agentic AI pipelines, advanced RAG/Graph RAG solutions, and LLM-backed workflows that integrate directly with real-world business operations—especially in telecom, fintech, and healthcare. I enjoy turning complex requirements into reliable software: designing fault-tolerant FastAPI backends, implementing scalable ETL/ELT pipelines, and strengthening LLM/MLOps with evaluation, CI/CD, and model lifecycle tooling. Recently, I’ve been deploying multi-agent systems for enterprise automation (including ticketing and IVR/voice agents) and predictive deep learning for operational forecasting, with an emphasis on measurable outcomes and low-latency user experiences.

Available to hire

I’m Shoaib Abid, a Senior AI/ML and Backend Engineer based in Lahore, focused on building production-grade, high-concurrency systems and practical GenAI solutions. Over 5+ years, I’ve architected agentic AI pipelines, advanced RAG/Graph RAG solutions, and LLM-backed workflows that integrate directly with real-world business operations—especially in telecom, fintech, and healthcare.

I enjoy turning complex requirements into reliable software: designing fault-tolerant FastAPI backends, implementing scalable ETL/ELT pipelines, and strengthening LLM/MLOps with evaluation, CI/CD, and model lifecycle tooling. Recently, I’ve been deploying multi-agent systems for enterprise automation (including ticketing and IVR/voice agents) and predictive deep learning for operational forecasting, with an emphasis on measurable outcomes and low-latency user experiences.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Senior AI & Machine Learning Engineer at Ibex

March 1, 2025 - Present

Architected and deployed an enterprise agentic RAG engine for telecom operations (Jazz Omni360), orchestrating vector search (FAISS/Pinecone) with multi-agent tool calling to automate ticket management, dynamic call routing, and CRM integrations—reducing average resolution time from 48 hours to under 10 minutes. Engineered real-time voice-enabled AI/IVR systems for enterprise telecom platforms (Amdocs amAIz, Netcracker), integrating STT/TTS with tool calling to perform backend database updates and call routing. Built high-throughput fintech ETL pipelines and analytical microservices for unstructured financial communications. Developed multi-step agentic workflows for credit/finance decisioning using LangChain/LangGraph/LlamaIndex with fallback mechanisms. Engineered an enterprise knowledge graph + Graph RAG recommendation engine with Docker microservices and semantic caching to reduce LLM costs, using Airflow for ingestion. Also delivered other agentic workflows (e.g., intent parsing

Backend AI & Machine Learning Engineer at Cloudeva Tech

February 1, 2024 - January 31, 2025

Designed a real-time, low-latency backend for trading platforms using FastAPI, Asyncio, and Redis caching to handle high-concurrency transactions under strict SLAs. Built a fault-tolerant crypto market data aggregation platform (CoinMarketCap) ingesting and standardizing 50+ million daily tick-level points across 20+ exchanges with sub-second WebSocket delivery. Architected automated GenAI market reporting pipelines using fine-tuned LLMs to generate weekly executive dashboards with high accuracy. Developed real-time time-series anomaly detection models with PyTorch/scikit-learn, containerized services with Docker, and managed experiments/tracking with MLflow, leveraging GCP for platform needs.

AI Backend Engineer at Tech Bridge Consultancy

December 1, 2022 - January 31, 2024

Integrated Rasa conversational bots with Asterisk via REST APIs for real-time speech processing, improving call center efficiency and driving increased sales outcomes. Architected an NLP-driven healthcare routing engine for patient appointment scheduling and clinical workflow routing (Regard), reducing administrative overhead. Built data augmentation pipelines for European hospital partners using diffusion models and supported end-to-end deployment of medical diagnostic models onto AWS SageMaker for Viz.ai, including logging/observability. Implemented SQL-based ETL pipelines on Microsoft Azure Data Warehouse for UK healthcare entities (eMed UK), optimizing query execution times and enabling structured clinical reporting.

Software Engineer at Ibrahim Developers

May 1, 2021 - December 31, 2022

Engineered an enterprise attendance management system across a multi-floor facility, implementing real-time data synchronization across distributed endpoints. Built Python-based ETL pipelines to parse and clean raw attendance logs, designed scalable PostgreSQL database schemas, and optimized complex SQL queries for transaction streams.