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AI Engineer with 5+ years in Python, FastAPI & LLM Orchestration
AI-focused Full Stack / Backend Engineer with over 6 years of experience developing scalable, distributed systems using Python, FastAPI, Django, React.js, and PostgreSQL across the fintech, healthcare, and e-commerce sectors. At GenieShop, I design multi-agent, LLM-powered routing systems (RAG, agent-to-agent architectures) using FastAPI and OpenAI/Gemini APIs to provide low-latency, fault-tolerant AI applications. At S&P Global, I helped enhance a real-time commodity pricing platform, increasing editorial validation speed by 40% through Kafka-based streaming, microservices, and distributed system design. Previously at Aodh Lifesciences, I built a HIPAA-compliant multi-tenant healthcare SaaS on AWS with Django, React, Cognito, and PostgreSQL, supporting over 15 facilities. Core strengths include LLM orchestration, RAG, microservices, Kubernetes (EKS), Docker, CI/CD, REST APIs, and secure SaaS architectures using OAuth2, JWT, RBAC, and TDD.
Auburn University at Montgomery
Master of Science · Computer Science
January 1, 2024 – May 1, 2025
GenieShop
Software Engineer – AI Focus
August 1, 2025 – Present
USA
Neotas
Senior Python Developer • Full-time
July 1, 2023 – November 1, 2023
India
S&P Global – Commodity Insights
Software Developer II • Full-time
March 1, 2022 – July 1, 2023
India
Aodh Lifesciences
Software Engineer
March 1, 2019 – January 1, 2022
India
AWS Certified Developer – Associate
AWS
August 1, 2025 – August 1, 2030
Cultural Fit Analysis
The candidate's diverse experience across fintech, healthcare, and e-commerce sectors, coupled with a strong focus on AI/ML systems, indicates a broad adaptability and a proactive approach to learning new domains. Their involvement in building multi-tenant SaaS architectures and integrating with various third-party APIs suggests a collaborative mindset and an ability to work with diverse stakeholders. The commitment to security, compliance, and quality assurance reflects a responsible and detail-oriented work ethic, which is crucial for cultural alignment in high-stakes technical environments. The ongoing Master's degree in Computer Science and AWS certification further highlight a commitment to continuous learning and professional growth.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills, as evidenced by leading and mentoring engineers, conducting code reviews, and delivering scalable platform features. Their experience in agile methodologies (Agile, Scrum, Kanban) and commitment to code quality (SonarQube, automated testing, 90%+ test coverage) indicate a strong operational fit. The focus on fault-tolerant systems, security (OAuth 2.0, MFA, RBAC, HIPAA compliance), and robust testing practices aligns well with senior-level expectations for reliability and maintainability.