ZSZeeshan Shafique
@zeeshanshafique
Innovative Full Stack Developer specializing in AI solutions.
PakistanWhat I'm looking for
I'm an innovative Full Stack Developer with over 7 years of experience in building scalable web applications and more than 2 years specializing in AI-powered solutions. My expertise lies in integrating advanced technologies such as LLMs (GPT-4), LangChain, and RAG pipelines into production systems. I have a proven track record of developing AI automation platforms that enhance customer support, SaaS, and e-commerce functionalities.
In my current role at Techesthete, I developed RagAdvise, an AI customer support automation tool that leverages LLM technology to streamline communication for SMBs. My previous experiences include building HR modules and e-commerce features for Dubai Holding, as well as leading the development of an ad automation platform for Amazon and Walmart. I am passionate about creating impactful solutions that drive efficiency and improve user experiences.
Experience
Work history, roles, and key accomplishments
Full Stack & AI Developer
Techesthete
Mar 2023 - Present (2 years 5 months)
Developed an LLM-powered smart assistant for SMBs, automating email, SMS, chat, and voice support. Engineered an Auto RAG pipeline using LangChain and GPT-4 with document-based context retrieval.
Frontend Developer
Dubai Holding
Mar 2022 - Present (3 years 5 months)
Built HR modules including leave, payroll, and performance, along with e-commerce features for over 15 business units. Implemented real-time product catalogs and secure payment integrations.
MERN Stack Developer
Smart IS
Mar 2018 - Present (7 years 5 months)
Contributed to the development of an all-in-one business management platform for hybrid workplaces. Built core modules for scheduling, leave tracking, project planning, and internal forums.
Education
Degrees, certifications, and relevant coursework
Bahauddin Zakariya University, Multan
BS, Computer Science
2014 - 2018
Grade: 3.78/4.00
Graduated with a Bachelor of Science in Computer Science. Achieved a GPA of 3.78 out of 4.00, demonstrating strong academic performance in the field.
Availability
Location
PakistanAuthorized to work in
Job categories
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