Architected and built an Agentic AI platform with fully customizable LLM-powered workflows.

Led the deployment and scaling of a microservices infrastructure using AWS, Docker, and Kubernetes.

Developed reusable agents using LangGraph and LangChain for multi-agent orchestration with integrations to APIs, vector databases, and enterprise datasets.

Managed a lean, high-impact team of back-end, infra, and prompt engineers, driving rapid experimentation and production deployment.

Designed dynamic RAG pipelines and tool-using agents, enabling context-rich, multi-step task automation with real-world tool execution.

Owned and optimized a cloud-native, multi-LLM DevOps pipeline on AWS (Lambda, ECS, S3), implementing scalable, observable, and cost-efficient infrastructure from day one.

Developed a Ruby on Rails CMS with YAML-based DSL for blog management and React component library.

Led a research initiative that improved web vitals to over 95/100 by optimizing public pages.

Conducted research on image optimization, implementing adaptable image cropping with focal points and flexible logo grids.

Regularly contributed to React component library aligned with in-house design systems.

Worked across the full stack in React and Ruby on Rails.

Worked on microservice architecture, event-driven architecture, dockerized services, Kafka, Phoenix (Elixir) services, Ruby on Rails, GraphQL, and Golang.

Developed new features, optimized and refactored existing services, and ensured stable production environments.

Resolved production bugs and contributed to cross-functional improvements.

Improved matcher service throughput by 45% by migrating the matching algorithm to a functional Elixir service, resulting in multi-fold improvements in calculation speed and enabling high-concurrency, low-latency performance under heavy load.

Orchestrated GraphQL APIs and containerized services with Docker, improving developer efficiency and deployment reliability.

Built and maintained micro-frontend architecture using React, enabling modular deployment and faster iteration across product teams.

Maintained and extended Kafka Schema Registry configurations, ensuring robust contract enforcement and backward compatibility across Kafka-based streaming services.

Collaborated closely with Ops and QA to transform unstructured, manual workflows into structured, testable digital experiences.

Managed microservices architecture and orchestrated deployment pipelines with Docker and GitHub Actions.

Worked on scaling a geolocation matching algorithm to handle millions of requests efficiently and cost-effectively using pre-calculated distance caching between map sections, significantly reducing redundant computations and API load.

Managed a team to build a warehouse management platform using Ruby on Rails, jQuery, and Bootstrap.

Increased team productivity by planning sprints and achieved a 3.97 GPA on Codebeat through regular code reviews.

Led security audits to patch vulnerabilities and maintained a high QA automation coverage of 90%.

Conducted technical screenings and supported the onboarding of new hires.

Managed a team of 7 across back end, front end, and QA, collaborating with cross-functional teams (Product, Design, Ops) to provide ongoing engineering support and drive innovation in internal processes and tooling, resulting in increased delivery velocity and cross-team alignment.

Led the end-to-end development of a warehouse and order management system, overseeing API integrations, JWT-based authentication, and Elasticsearch-backed querying, streamlining logistics workflows and improving system reliability.