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Adnan Sakib

@adnansakib

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AI engineer and full-stack developer building scalable LLM-driven systems and production web apps.

United States

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What I'm looking for

I seek roles where I can build scalable, privacy-first LLM systems and production web apps, collaborate cross-functionally, and deliver measurable product and cost improvements.

I am an AI engineer and full-stack developer who builds production-grade, privacy-first systems that automate workflows, optimize performance and cost, and deliver strong UX across the stack.

At DvinciGroup I developed generative task decomposition frameworks, fine-tuned a 7B model to GPT-4-level accuracy for job-matching, and re-architected high-performance e-commerce systems that reduced operational issues and saved significant labor hours.

Previously I delivered end-to-end solutions using modern web frameworks, optimized legacy software with role-based access and analytics, and built adaptive offline AI that learns from user behavior to provide predictive insights with high privacy and speed.

I combine deep learning (PyTorch, TensorFlow, Transformers) and LLM engineering (RAG, tool-calling, vLLM, OpenAI API) with full-stack skills (React/Next.js, FastAPI, Laravel) to deliver measurable business impact across products and pipelines.

Experience

Work history, roles, and key accomplishments

AI Engineer & Full-Stack Developer

DvinciGroup

May 2022 - Jun 2025 (3 years 1 month)

Developed LLM pipelines and production-grade web apps, built a generative task decomposition framework surpassing Claude-3.7-Sonnet on benchmarks, fine-tuned a 7B model to GPT-4-level accuracy while reducing inference costs, and re-architected e-commerce checkout to cut ops labor and eliminate stock mismatch incidents.

Python React Next.js RAG Fine Tuning Azure Functions PostgreSQL CI CD

Full-Stack Developer

KomBea

Aug 2020 - Feb 2022 (1 year 6 months)

Architected and built end-to-end Shopify/WordPress solutions from Figma/Photoshop designs, reducing handoff times by over 50% and implemented role-based access control and optimized SQL queries for scalable performance.

PHP Liquid Shopify WordPress SQL Figma Performance Optimization Access Control JavaScript

Web Developer

NerdsToGo

Sep 2016 - Feb 2020 (3 years 5 months)

Built adaptive, privacy-focused AI features that observe user behavior for offline predictive insights and replaced select LLM calls with NER models to achieve 8x faster inference while preserving accuracy and contextual understanding.

JavaScript NER Privacy Engineering Python Performance Tuning UX

Education

Degrees, certifications, and relevant coursework

University of Houston

Bachelor of Computer and Information Science, Computer and Information Science

2012 - 2016

Completed a Bachelor of Computer and Information Science focusing on software development, systems, and AI-related coursework from May 2012 to August 2016.