Rohan Kabadi

Enhanced a SaaS legal tool utilizing Python, Django, PostgreSQL, and GraphQL to improve legal data management and accessibility.

Engineered data scrapers with Scrapy to efficiently gather and process legal information, optimizing the data integration process.

Managed the application's codebase using Git, conducting code reviews and verifying the implementation of feature changes to maintain software excellence.

Leveraged AWS Textract for OCR purposes to extract text from scanned documents, further optimizing data handling and retrieval.

Managed AWS S3 bucket to ensure seamless storage and accessibility of crucial data.

Collaborated with peers to design, test, and deploy new application features, ensuring high-quality functionality and user satisfaction.

Led the development of a robust backend infrastructure, API system and an estimation engine for a prominent UK marketing firm's AI marketing consultancy project.

Utilized PostgreSQL, MySQL, ExpressJS, and NodeJS for enhanced scalability.

Integrated OpenAI's LLM strategically to build and enhance natural language processing for the AI Chat Consultant.

Developed comprehensive documentation for backend and APIs, ensuring clarity. Ensured system reliability and security through thorough API testing with Postman.

Deployed the infrastructure on AWS, configuring Nginx as a reverse proxy and load balancer to ensure efficient distribution of client requests and high availability.

Collaborated effectively with cross-functional teams to synergize efforts and to optimize project outcomes.