Anmol Jaising

Backend AI Engineer with 6+ years of experience designing and delivering scalable, cloud-native systems from prototype to production. Specialized in LLM integration, RAG pipelines, and multi-agent orchestration using Python, LangChain, LangGraph, FastAPI, & cloud infrastructure (AWS, Azure, GCP). Experienced in migrating legacy platforms to modern microservices, reducing infrastructure costs, & accelerating development velocity.

Passionate about leveraging AI to eliminate mundane aspects of software engineering and boost developer productivity

Independent AI Engineer, San Francisco, CA

Jan 2025 - Present

• Designed and shipped 7 end-to-end AI systems in rapid iteration cycles, spanning multi-agent orchestration, RAG pipelines, voice AI, and supply chain optimization. Developed expertise in agentic architectures (LangGraph, MCP), vector databases (Pinecone, FAISS), and real-time voice systems (LiveKit, Plivo, Whisper) using Python, Claude, and OpenAI.

Athenahealth, Inc., Member of Technical Staff, Boston, MA June 2022 - June 2024

• Designed and implemented scalable microservices architecture on Azure, integrated RESTful APIs with Azure Service Bus and Azure Functions, cutting infrastructure costs by 25% while improving system throughput and reliability. • Eliminated 25% of GraphQL service downtime through proactive monitoring infrastructure using AWS CloudWatch, Prometheus, Grafana, and SNS alerts, accelerating incident detection and resolution by 40%. • Led enterprise-wide migration of critical business features from a legacy Perl monolith to Java Spring Boot microservices, reducing system downtime by 20% and significantly improving long-term maintainability and scalability. • Developed a Java-based scaffolding automation tool generating standardized project templates, cutting initial setup time by 50% and accelerating time-to-market for new product deliverables. • Created a lightweight MockServer API testing framework simulating backend services, eliminating external server dependencies and boosting development cycle velocity by 25%. • Mentored 10+ engineering interns through structured onboarding programs, reducing support queries by 40% and boosting team development velocity by 25%.

Copart, Inc., Software Engineering Intern, Dallas, TX June 2021 - Aug 2021

• Designed and delivered event-driven web platforms for Copart’s Auto Program using Java, Spring Boot, Kafka, and Apache Solr, accelerating real-time data processing performance by 80%. Built a proof-of-concept Kafka Streams application transforming events into KTables and GlobalKTables, enabling near-real-time analytics for business stakeholders.

Rochester Institute of Technology, Undergraduate Teaching Assistant, Rochester, NY Aug 2020 - Dec 2021

• Mentored and coached over 50 students in foundational Python programming and data structures, fostering confidence and technical problem-solving skills among first-time programmers. Built a full-stack assignment platform for student submission uploads and automated grading, streamlining academic workflows for instructors and students.

Accenture Solutions Private Ltd, Application Development Associate, Mumbai, India Nov 2016 - Jun 2018

• Architected an end-to-end test automation framework using C#, ASP.NET MVC, and SQL for Accenture’s Duck Creek Platform, achieving 85% efficiency improvement by eliminating manual QA processes. • Built a proof-of-concept automation suite validating intelligent workflow optimization, establishing the foundation for enterprise-wide automation adoption.

Rochester Institute of Technology, M.S. Computer Science, GPA - 3.39/4.0 May 2022