Jafar Beldar

AI Software Engineer specializing in production GenAI systems, RAG pipelines, and agentic AI workflows. Delivered secure, self-hosted AI solutions for government and enterprise use cases, with a strong focus on system design, semantic retrieval, workflow orchestration, and operational efficiency. Have around 2 years of professional experience in IT/Software Development. Skilled in Java, Python, JavaScript, and Linux server administration.

Motivated IT professional with excellent problem-solving, critical thinking, and teamwork skills. Passionate about leveraging technology to improve business processes, automate workflows, and build solutions that create measurable impact.

Master of Management Studies (MBA) in Information Systems & Business, Mumbai University (2025–2026), CGPI: 7.4/10

Bachelor of Engineering in Information Technology, Finolex Academy of Management and Technology, Mumbai University (2022–2025), CGPA: 8.96/10

Diploma in Computer Engineering, Government Polytechnic Ratnagiri (2019–2022), Percentage: 89.49%

Built a secure, multi-tenant AI-powered RAG system for the Government of India's PPPAC division, processing over 5,000 confidential documents in a fully air-gapped environment. Designed and implemented a production-grade hybrid retrieval system using LangChain, LangGraph, BGE-M3, BM25, and cross-encoder re-ranking. Developed an AI-powered inventory intelligence platform with conversational analytics, semantic-to-SQL querying, and automated alerts. Built an internal Prompt Studio enabling teams to create and manage AI prompt workflows without writing code. Earned industry certifications in AWS Cloud Practitioner Essentials, Docker Mastery, and API Security.