HARsha VARdhana B

As owner and maintainer of an agent node, I developed a key component for the Patient Journey Smart Targeting (PJST) project. This component, part of an agentic AI graph architecture, leverages LLMs to provide intelligent, real-time suggestions. My responsibilities included development, testing, and metrics evaluation. Contributed to the development of LLM-based chatbot applications and developed ReactJS and Python solutions for the medical sector to enhance user interaction, business insights, and research capabilities. Managed and streamlined application access requests, including a multi-level user authentication system, in collaboration with product management to ensure secure data access and optimize turnaround time.

Led junior developer mentoring initiatives, fostering their professional growth, improving their technical skills, and increasing overall team productivity. Orchestrated sprint planning and tracking, ensuring the timely delivery of project milestones and adherence to project timelines. Architected server-side and UI solutions, including REST API and SSR, demonstrating advanced technical design skills and contributing to the application's scalability and performance. Ensured code quality through rigorous review processes, addressed production bugs to maintain system stability, and collaborated with cross-functional teams to translate business needs into technical requirements. Utilized ReactJS, NextJS, NodeJS, ExpressJS (REST API), and MongoDB to develop and deploy web applications.

Provided freelance services for NFT projects, assisting clients across various time zones with NFT contract deployment and website creation. Integrated Metamask wallets to facilitate user interaction with blockchain networks, managed NFT contract interactions via RPC, and handled NFT asset storage solutions. Utilized ReactJS, Web3js, ethersJS, NodeJS + ExpressJS (REST API), Python, and MySQL to deliver comprehensive Web3 solutions.

Architected and maintained a web application with authentication, CRUD, and RBAC functionality, ensuring secure data management and user access control. Designed a no-code UI solution for generating SQL-based data set requests, empowering non-technical users to retrieve and analyze data efficiently. Streamlined the data request process through reviews, edits, and approvals, and developed an RBAC layer with Keycloak to manage user permissions and application workflows. Developed analytics dashboards and web portals to provide insights into business data and support decision-making processes. Utilized ReactJS, NextJS, NodeJS, ExpressJS (REST API).

Directed front-end development for talent acquisition applications, contributing to the development of tools to expedite the hiring process. Managed a team of engineers, fostering a collaborative and productive environment, and promoting knowledge sharing within the team. Translated stakeholder expectations into actionable development stories, providing clear guidance to the development team, and managed sprint planning to align feature deployments with project timelines. Ensured code quality through rigorous code reviews, collaborated with backend teams for seamless integration of front-end and back-end systems. Influenced technical decisions for UI streams, providing technical leadership, and collaborated with backend teams on API contracts and web automation tasks. Proficient in ReactJs, Redux, Redux-saga, Styled-components, JavaScript, HTML, and CSS.

Worked on internal products as a Python developer, developing Selenium-based automation scripts for data mining, and built microservices and a scraping engine to extract and process data. Normalized, standardized, and updated mined data in Elasticsearch, ensuring data accuracy and consistency for analysis and reporting. Oversaw parallel data mining operations in AWS, optimizing performance and resource utilization. Transitioned to Talent500 (formerly FastNext) as a founding engineer, contributing to the early development and growth of the company.