• Tech Stack: FastAPI, PostgreSQL, Redis, Stock Analysis Algorithms, SP500, Web Scraping, Linux, Bash, GitHub• Worked as a Software Engineer for a Fintech startup founded by Cambridge graduates.• Developed and maintained APIs using FastAPI for efficient communication between various components.• Managed the database using PostgreSQL to ensure data integrity and optimal performance.• Utilized Redis for caching, enhancing the speed and responsiveness of the applications.• Implemented stock analysis algorithms as per the requirements of stakeholders.• Developed an in-house algorithmic trading system for SP500 companies.• Utilized web scrapers to gather data from various sources, ensuring a comprehensive and up-to-date dataset.• Implemented Linux cronjobs and Bash scripts for automations, streamlining routine tasks and improving efficiency.• Managed GitHub repositories, overseeing pull requests and conducting code reviews to maintain code quality.• Collaborated closely with stakeholders to understand and implement stock analysis algorithms effectively.• Contributed to the development and enhancement of financial systems and tools.

• Tech Stack: Python, PostgreSQL, Machine Learning, NLP, RESTful APIs• Worked as a Software Developer Trainee for 1 year, specializing in creating sophisticated scrapers for financial data in a FinTech startup.• Developed robust RESTful APIs for the in-house Mobile and Web applications.• Implemented advanced machine learning NLP models for sentiment analysis.• Engineered powerful scrapers capable of efficiently extracting data from multiple sources.• Designed and implemented database models to efficiently store and manage scraped financial data.• Managed database administration tasks, ensuring data integrity, security, and optimal performance.• Provided access to other developers by setting up and maintaining database user roles and permissions.• Parsed and processed the collected data in a highly useful manner and stored it in optimized formats.• Collaborated closely with team members, including a Senior Data Scientist, to ensure effective parsing, manipulation, and sentiment analysis of financial data.• Utilized industry-standard tools and technologies to create, maintain, and format reports.• Demonstrated excellent communication skills, presenting complex technical information clearly to both technical and non-technical stakeholders.

Tech Stack: Python and PostgreSQL• Worked as a Software Developer Intern for 6 months to create sophisticated scrapers for collecting financialdata for the FinTech startup company.• Collaborated closely with a Senior Data Scientist to efficiently parse, manipulate, and store the scrapedfinancial data in a highly usable format.• Utilized industry standard tools and technologies to create, maintain and format reports.