Senior Backend engineer

Candidate is a backend-focused Software Engineer with over 5 years of experience specializing in Node.js, Python, and TypeScript (NestJS), with additional expertise in DevOps practices including AWS, Docker, Kubernetes, and Terraform. Experienced in designing and scaling distributed systems, implementing microservices architectures, and optimizing cloud infrastructure to reduce operational costs and improve system reliability. Strong background in NLP and LLM development, with approximately 2 years of hands-on experience applying RAG-based architectures, semantic search, and vector similarity using tools such as PyTorch, FastAPI, FAISS, Qdrant, LangChain, and OpenAI models. Skilled in building high-performance APIs, designing real-time blockchain syncing systems, and developing AI-enhanced legal and financial platforms.

Islamic Azad University, Najafabad Branch / Bachelor's Degree in Computer Software Engineering

2016 - 2020

Software Engineer

Industry: IT Services and IT Consulting

May 2023 – Feb 2025

• Spearheaded development of AI-driven legal platform achieving 90%+ accuracy using Australian case law datasets

• Engineered AWS serverless microservices reducing operational costs by 25% through automated deployments

• Architected data similarity platform with vector databases, enhancing legal research efficiency

• Implemented custom ReRanker using PyTorch and spaCy reducing similarity search costs by 20%

• Fine-tuned LLMs improving prediction accuracy by 15% and reducing inference time by 20%

Software Engineer

Industry: Investment Management

Nov 2021 – Apr 2023

• Launched REST API for NFT platform, introducing syncing service reducing external tool dependency by 40%

• Developed real-time blockchain syncing system ensuring 99% data integrity

• Engineered resumable upload system for large files under unstable network conditions

• Mentored and trained an intern for over two months

Back End Developer

Industry: Telecommunications

Nov 2020 – Nov 2021

• Designed and developed LMS with 5,000+ daily sessions, ensuring scalability and high reliability

• Built media-based support system for bank call center handling 1,000+ daily calls

• Developed auto-quality optimization with resolution options and server-side recording

Back End Developer

Industry: Media & Entertainment

Oct 2019 – Oct 2020

• Reduced delivery time by 40% through implementation of Microservices architecture

• Cut operational costs by 90% with self-hosted VOD system using Nginx

Back End Developer (Intern)

Industry: Computer and Network Security

Jul 2019 – Oct 2019

• Deployed SD-Perimeter using Unix Iptables and OpenVPN to ensure zero-trust data protection