Agentic AI / LLM Engineer & Full-Stack Developer - Azeus Systems (Agentic AI and LLM powered SaaS products for corporate governance and enterprise knowledge search)
Duration: May 2024 – Apr 2026
Summary:
- Developed advanced agentic AI and large language model powered SaaS platforms focused on corporate governance, board meetings, document processing, and enterprise knowledge search
- These products automate complex workflows and improve enterprise document handling and knowledge retrieval
Responsibilities:
- Architected tool-calling agents for autonomous multi-step governance workflows across document-heavy enterprise processes.
- Built agent orchestration logic to plan, route, and recover from failed tool calls, enhancing task completion reliability.
- Designed and implemented RAG pipelines with embeddings, vector search, and retrieval filtering including source previewing.
- Created over forty production API endpoints handling data ingestion, metadata indexing, access control, logging, and asynchronous jobs.
- Established an LLM evaluation harness with curated datasets and prompt libraries to measure output accuracy and hallucination rates.
- Engineered production safeguards such as retry strategies, response validation, streaming output, and graceful fallbacks.
- Reduced average document processing time from nine to under four minutes through batching, caching, and task coordination.
- Developed reviewer-facing UIs in React and TypeScript for confidence scoring, workflow assignment, document previewing, and agent configuration.
- Modularized legacy services into decoupled domain services for stable delivery of new AI capabilities.
- Drove rapid delivery using Claude Code and Cursor while managing architecture, deployment, and system decisions.
Technologies: Python, FastAPI, Node.js, TypeScript, React, PostgreSQL, MongoDB, Redis, LangChain, OpenAI API, Claude, vector databases, Docker, AWS, GitHub Actions, GraphQL
Backend Developer & LLM Engineer - Accenture (Cloud-native backend services and AI automation tools for digital transformation)
Duration: Feb 2022 – Apr 2024
Summary:
- Delivered cloud-native backend services and early AI automation tools supporting digital transformation and application modernization programs for enterprise clients
- Focused on workflow automation, AI-driven business platforms, and integration of LLM capabilities
Responsibilities:
- Developed backend services in Python and Node.js for enterprise modernization programs involving workflow automation and AI business platforms.
- Built REST APIs for ingestion of customer records, workflow events, document payloads, and integration data.
- Delivered proof-of-concept LLM automation for document Q&A, email summarization, content categorization, and knowledge retrieval.
- Designed and optimized PostgreSQL and MySQL schemas, significantly reducing reporting query times.
- Integrated early OpenAI API workflows with reusable prompt patterns and structured output handling.
- Automated testing and deployment using Docker and GitHub Actions across multiple environments.
- Collaborated with frontend engineers to define API contracts, error handling, pagination, and response formats.
Technologies: Python, Node.js, Spring Boot, TypeScript, PostgreSQL, MySQL, OpenAI API, Docker, GitHub Actions
Python Backend Engineer - CGI (Backend services and integrations for enterprise consulting and cloud migration)
Duration: Mar 2020 – Feb 2022
Summary:
- Built backend services, APIs, and integrations to support large-scale enterprise consulting, systems integration, and cloud migration projects
- Focused on scalable and performant backend solutions
Responsibilities:
- Developed backend services using Python frameworks Django, Flask, and FastAPI.
- Implemented REST APIs for user account management, reporting, notifications, file processing, and third-party integrations.
- Optimized database queries and indexing to achieve sub-500 millisecond response times on high-traffic endpoints.
- Collaborated with business analysts and QA teams to translate requirements into tested, production-ready functionality.
Technologies: Python, Django, Flask, FastAPI, PostgreSQL, MySQL, Redis, REST APIs, Docker, Linux, Nginx, Git, Pytest
Full Stack Developer - Shore360 (Custom web applications, customer portals, CRM workflows, and business automation tools)
Duration: Sep 2014 – Jan 2019
Summary: Delivered fully integrated custom web applications and business automation tools for offshore client teams, including CRM workflows, admin portals, reporting dashboards, and customer-facing sites.
Responsibilities:
- Developed bespoke business tools replacing spreadsheet-driven operations with searchable dashboards.
- Designed responsive front-end interfaces and data entry forms to streamline operational workflows.
- Integrated third-party services such as payments, email, and mapping to automate client workflows.
Technologies: PHP, Laravel, JavaScript, React, Vue.js, jQuery, MySQL, HTML, CSS, Bootstrap, REST APIs, WordPress, Git
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