Project: JobQuest

● Engineered a platform leveraging LLM and AI to optimize resumes for targeted job opportunities.

● Constructed the backend with FastAPI (Python), integrating LLM (primarily OpenAI) for enhanced functionality. UI created

using React.

● Developed the applications base boilerplates from scratch to further scale upon

● Data extraction, manipulation and structuring done in python for efficient LLM ready data and data analytics

● Managed data storage using MongoDB (pyMongo) and AWS S3, employing AWS EKS, EC2, S3, DocumentDB, lambda and ElasticCache. Pydantic used for database models.

● Python & Javascript driven cloud functions and scripts for data extraction and insights with large datasets. Used for Dashboards and billing. (Numpy, Panda). Databases: MySQL, Postgres, Azure MsSQL

● Our system generated ATS-compliant resume templates with a 100% scan rate.

Tools: Visual Studio Code, Pycharm, Anaconda, flake8, eslint, Postman, Docker, Github, Jira

Project: Televox

● Collaborated with TeleVox (US) on a multi-channel engagement platform (SMS, IVR, Email, LiveChat) for hospital-patient

interactions, integrating EHR systems for patient data.

● Spearheaded the development of a GSM messaging-based chat application using NodeJS, React, Sockets, Sequelize

(MySQL), and Redis. Application was deployed on Azure and made use of Twilio.

● Python and JavaScript driven cloud functions and scripts for data extraction and insights. Used for Dashboards and billing.

(Numpy, Anaconda, Panda)

● Enhanced the platform with analytical dashboards and scheduled events, impacting approximately 2.2 million patients.

● Led a 12-member developer team, managing requirements, analysis, documentation, and task allocation to align with product

objectives.

● Maintained high code quality, resolved application issues, and fostered team growth by conducting 2-3 interviews monthly

● Co-Founder balancing technical work, business management, and development, managing a technical team of up to 5 members,

architecting and integrating services for 15 institutions nationwide.

● Scaled a chatbot application to support 3 different use cases, developed data aggregation and analytics modules, handled AWS

deployments (EC2, Elastic Beanstalk, S3, Route 53, CloudFron, RDBMSt), utilizing Python (Panda, numpy, scipy Anaconda,

matplotlib), Laravel PHP, and MySQL.