I am a software engineer with 4+ years of experience designing and delivering scalable, high-performance applications across modern distributed architectures. I am proficient in Python, JavaScript/TypeScript, Node.js, and React, with strong expertise in RESTful API development, microservices, and cloud-native design. I thrive in agile environments, translating complex business needs into robust technical solutions, optimizing system performance, and delivering production-grade software. I have hands-on experience with Docker, Kubernetes, AWS/Azure, CI/CD, and databases like PostgreSQL and MongoDB, and I enjoy collaborating with cross-functional teams to drive impactful results.

Mustaq Sohail Shaik

I am a software engineer with 4+ years of experience designing and delivering scalable, high-performance applications across modern distributed architectures. I am proficient in Python, JavaScript/TypeScript, Node.js, and React, with strong expertise in RESTful API development, microservices, and cloud-native design. I thrive in agile environments, translating complex business needs into robust technical solutions, optimizing system performance, and delivering production-grade software. I have hands-on experience with Docker, Kubernetes, AWS/Azure, CI/CD, and databases like PostgreSQL and MongoDB, and I enjoy collaborating with cross-functional teams to drive impactful results.

Available to hire

I am a software engineer with 4+ years of experience designing and delivering scalable, high-performance applications across modern distributed architectures. I am proficient in Python, JavaScript/TypeScript, Node.js, and React, with strong expertise in RESTful API development, microservices, and cloud-native design.

I thrive in agile environments, translating complex business needs into robust technical solutions, optimizing system performance, and delivering production-grade software. I have hands-on experience with Docker, Kubernetes, AWS/Azure, CI/CD, and databases like PostgreSQL and MongoDB, and I enjoy collaborating with cross-functional teams to drive impactful results.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

AI Software Engineer at Berkshire Hathaway
December 1, 2024 - Present
Built an internal RAG-based Q&A system using LangChain and OpenAI API, reducing policy document lookup time by 60% across underwriting teams. Designed an agentic AI workflow to automate multi-step data extraction from unstructured financial reports, cutting per-analyst manual processing from 4 hours to under 30 minutes. Integrated LLM-based summarization into the document review pipeline, reducing review time by 40% while maintaining 95%+ accuracy on flagged items. Deployed the AI service on AWS Lambda with auto-scaling to handle 200+ concurrent requests and latencies under 1.2s.
Software Development Engineer at Travelers
June 1, 2022 - November 1, 2023
Developed a microservices-based claims processing API in Node.js/Express, reducing average endpoint response time from 900ms to 220ms through query restructuring and Redis caching. Migrated a legacy monolithic billing module to containerized services on Kubernetes, reducing deployment time from 3 hours to under 20 minutes per release. Automated CI/CD pipelines via GitHub Actions across six backend services, cutting manual release steps by 80%. Optimized PostgreSQL queries on a 5M+ record claims database, reducing scheduled report generation time by 55%. Implemented JWT authentication and RBAC across four internal APIs, resulting in zero unauthorized access incidents post-rollout.
Associate Software Engineer at Cinch Home Services
January 1, 2021 - May 1, 2022
Built RESTful APIs for the home warranty claims module in Python, handling 10,000+ daily requests with 99.5% uptime. Streamlined MongoDB data models for service request tracking, reducing average query execution time by 45% and supporting a 3x increase in concurrent users. Configured Docker-based development environments for a five-member team, shortening onboarding from two weeks to three days. Refactored a Python batch processing script for vendor invoice ingestion, reducing runtime from 12 minutes to under 2 minutes for batches of 50,000+ records. Wrote unit and integration tests with PyTest achieving 80%+ code coverage, reducing production bugs by 30% across two releases.

Education

Masters of Information Technology at Northern Arizona University
January 1, 2024 - May 1, 2025

Qualifications

Gen AI Foundational Models for NLP & Language Understanding (IBM)
January 11, 2030 - May 8, 2026
Generative AI and LLMs: Architecture and Data Preparation (IBM)
January 11, 2030 - May 8, 2026
Introduction to Databases for Back-End Development (Meta)
January 11, 2030 - May 8, 2026

Industry Experience

Software & Internet, Financial Services, Professional Services