I am Shahid Hussain, an AI Software Engineer specializing in end-to-end LLM-powered platforms, multi-agent systems, and cloud-native microservices. I design and ship production-grade backends with OpenAI integrations, vector stores, and RAG pipelines that scale across enterprise APIs. Over the past three years, I’ve driven measurable improvements in throughput, latency, and API response times, contributed to frontier AI training on OpenAI-based projects, and led cross-functional teams through architecture, CI/CD automation, and live production rollouts.

Shahid Hussain

I am Shahid Hussain, an AI Software Engineer specializing in end-to-end LLM-powered platforms, multi-agent systems, and cloud-native microservices. I design and ship production-grade backends with OpenAI integrations, vector stores, and RAG pipelines that scale across enterprise APIs. Over the past three years, I’ve driven measurable improvements in throughput, latency, and API response times, contributed to frontier AI training on OpenAI-based projects, and led cross-functional teams through architecture, CI/CD automation, and live production rollouts.

Available to hire

I am Shahid Hussain, an AI Software Engineer specializing in end-to-end LLM-powered platforms, multi-agent systems, and cloud-native microservices. I design and ship production-grade backends with OpenAI integrations, vector stores, and RAG pipelines that scale across enterprise APIs.

Over the past three years, I’ve driven measurable improvements in throughput, latency, and API response times, contributed to frontier AI training on OpenAI-based projects, and led cross-functional teams through architecture, CI/CD automation, and live production rollouts.

See more

Experience Level

Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Software Engineer at Funavry Technologies
September 1, 2025 - March 1, 2026
Sole architect of GCP-based microservices powering real-time LLM-integrated enterprise APIs — owning infrastructure provisioning, OpenAI/embedding integration, and full production rollout with 99.9% uptime SLA. Integrated transformer model inference, Pinecone & FAISS vector stores, and RAG pipelines into production REST APIs, delivering a 25% reduction in inference latency while maintaining strict throughput benchmarks. Established org-wide CI/CD pipelines, A/B testing frameworks, and AI guardrails — reducing deployment risk and accelerating release velocity across multiple engineering teams.
Software Engineer at Ninesol Technologies
July 1, 2024 - September 1, 2025
Independently architected and deployed 60+ production REST APIs and microservices (Django/FastAPI, Redis, PostgreSQL, Pinecone) — expanding platform capability by 30% without architectural supervision. Sole owner of LLM API integrations (OpenAI, Qwen) across RAG pipelines, semantic search, and AI automation workflows, boosting processing efficiency by 60%. Led end-to-end backend performance optimization through async refactoring, profiling, and CI/CD automation — consistently delivering sprints on schedule.
Python Developer & LLM Model Trainer at Webbuggs
July 1, 2023 - July 1, 2024
Collaborated with a cross-functional AI team as a Python/LLM Trainer contributing to OpenAI's ChatGPT 5 model training pipeline — writing, evaluating, and refining high-quality prompt-response pairs and RLHF-aligned training data to improve model instruction-following and domain reasoning. Sole backend engineer across 20+ client projects, reducing API response times by 40% through Django refactoring, Docker containerization, and CI/CD pipeline optimization. Designed and implemented secure authentication frameworks and high-performance REST APIs from scratch, improving data security by 60% while meeting enterprise SLA requirements.

Education

Bachelor of Science in Computer Science at COMSATS University Islamabad
September 1, 2019 - August 1, 2023
Bachelor of Science in Computer Science at COMSATS University Islamabad
September 1, 2019 - August 1, 2023

Qualifications

Complete AI Engineer
January 11, 2030 - March 26, 2026
Data Science Expert with Python and Django
January 11, 2030 - March 26, 2026
Turing Developer Assessment
January 11, 2030 - March 26, 2026
Introduction to Docker
January 11, 2030 - March 26, 2026
Intermediate Python & Introduction to Python
January 11, 2030 - March 26, 2026
HTML, CSS & JavaScript for Web Developers
January 11, 2030 - March 26, 2026
Google Developer Club — Technical Core Member
January 11, 2030 - March 26, 2026
Complete AI Engineer: Python, NLP, Transformers, LLMs, LangChain, Hugging Face
January 11, 2030 - March 26, 2026
Data Science Expert with Python and Django
January 11, 2030 - March 26, 2026
Turing Developer Assessment — Passed (Django + Python)
January 11, 2030 - March 26, 2026
Introduction to Docker
January 11, 2030 - March 26, 2026
Intermediate Python & Introduction to Python
January 11, 2030 - March 26, 2026
HTML, CSS & JavaScript for Web Developers
January 11, 2030 - March 26, 2026
Google Developer Club — Technical Core Member
January 11, 2030 - March 26, 2026

Industry Experience

Software & Internet, Education, Professional Services
    paper AI Quran Learning App

    Unlock the beauty and precision of Quran recitation with our intelligent AI-driven platform. Designed for learners of all levels, the app provides real-time feedback on pronunciation, Tajweed rules, and recitation accuracy, ensuring a deep and correct understanding of the Quran.

    Key Features:

    Real-Time Recitation Feedback: The AI listens and highlights pronunciation mistakes instantly.

    Tajweed Guidance: Learn correct rules of recitation with contextual explanations.

    Progress Tracking: Monitor improvements with detailed performance reports.

    Interactive Learning: Engaging exercises and challenges to reinforce memorization and fluency.

    Personalized Lessons: Adaptive learning paths tailored to your pace and skill level.

    Multilingual Support: Accessible for learners worldwide with native-language hints.

    Whether you’re a beginner or an advanced student, this app makes learning the Quran easier, more accurate, and more interactive than ever before.

    paper Chaingpt.org AI Trading Assistant

    ChainGPT.org is a cutting-edge AI trading assistant designed to give traders a real edge in the market. Leveraging real-time market news, sentiment analysis, and advanced AI algorithms, it delivers accurate trading signals, insights, and alerts to help users make informed decisions quickly and confidently.

    Key Features:

    Real-Time Market Signals: AI analyzes global financial news, trends, and market data to provide timely buy/sell alerts.

    Sentiment & Trend Analysis: Detects market sentiment and emerging patterns to guide strategic trading.

    CMC-Based Data Processing: Works with CMC data for historical data analysis, backtesting, and reporting.

    Cross-Team Collaboration: Coordinated with design, product, and analytics teams to ensure seamless feature development and deployment.

    Customizable Alerts & Insights: Users can set preferences for asset types, risk levels, and notification channels.

    Secure & Scalable: Built on a robust backend for reliable performance and user data security.

    ChainGPT.org transforms complex market data into actionable insights, making trading smarter, faster, and more precise for both novice and professional traders.

Hire a AI Engineer

We have the best ai engineer experts on Twine. Hire a ai engineer in Islamabad today.