John shajan
@johnshajan
AI/ML Engineer experienced in delivering real-world Generative AI solutions.
What I'm looking for
I am an AI/ML Engineer with a strong focus on delivering real-world Generative AI solutions that enhance operational efficiency and business processes. My expertise lies in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents, as well as deploying AI at scale. I am proficient in Python, TensorFlow, and cloud-native development, which allows me to create impactful AI strategies in collaboration with cross-functional teams across various domains.
Currently, I work as a Junior Software Engineer at Zealogics IT Solutions, where I lead the design and development of enterprise-level AI and GenAI solutions tailored for document intelligence use cases in the Risk and HR domains. My role involves developing scalable RAG pipelines and LLM-based agents to automate internal document Q&A and report generation workflows. I am committed to continuous improvement, regularly refining model performance based on stakeholder feedback and operational needs.
Experience
Work history, roles, and key accomplishments
Jr. Software Engineer
Zealogics IT Solutions
Jun 2024 - Present (1 year 1 month)
Led the design and development of enterprise-level AI and Generative AI solutions for document intelligence in Risk and HR domains, including scalable RAG pipelines and LLM-based agents. Collaborated with cross-functional teams to integrate AI models into production workflows, utilizing Azure DevOps for CI/CD deployment. Documented and evaluated model performance, refining solutions based on stake
Education
Degrees, certifications, and relevant coursework
Sahrdaya College of Engineering & Technology
Bachelor of Technology, Computer Science
Grade: 8.18 CGPA
Activities and societies: Final project presented at MITADT Conference (2024)—demonstrated AI application in document intelligence.
Studied Computer Science with a focus on AI/ML and GenAI solutions. Achieved a CGPA of 8.18 and published a paper on AI applications in document intelligence at the MITADT Conference in 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
johnshaj-portfolio-cpnd.vercel.appSocial media
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