FlowCV Logo
Profile

I am a perseverant, ambitious, and hardworking Software Engineer with a robust background in Python, web development, and machine learning. Passionate about solving complex problems and creating user-friendly solutions, so I keep abreast of the latest technological advancements. A fast learner and agile developer, who’s always eager to acquire new skills. I have mentored over a thousand students, organized multiple boot camps and hackathons during my college years, led several successful teams, and conducted numerous induction programs for first-year students.

Education

BTech in Computer Science and Engineering

College of Engineering Thalassery
2020 – 2024
Professional Experience

Software Engineer

UST
09/2024 – presentTrivandrum, India

Software Engineering Intern

Palmate Technologies Co. Ltd.
  • Developed Python automation software for WhatsApp bulk messaging with image flexibility, innovated a group number extraction tool, and applied SCRUM for adaptable, high-quality code.
  • 05/2023Saudi Arabia
    Projects

    Empact (Platform to Streamline Organizational Training Programs)

  • Developed and delivered a high-performance web application using React (TypeScript) for the frontend, Node.js microservices for the backend, and MongoDB for efficient data handling. Utilized AWS services like EC2 for scalable deployment and Cognito for secure authentication.
  • Managed project planning and execution using agile tools like Kanban, ensuring efficient team coordination and timely delivery of key milestones.
  • iRecruit360 (Interview Portal with Personality Prediction)

  • Utilized machine learning and NLP for real-time analysis during interviews, enabling HR access to comprehensive candidate profiles and automated question generation through Gemini LLM integration.
  • Designed and implemented the project stack using NextJS for frontend, Flask for backend REST API development, and Python for machine learning tasks. Employed the K-means clustering algorithm for personality prediction.
  • SignLingo (Real-Time Sign Language Recognition with SVM and MediaPipe)

  • Developed a real-time sign language recognition system using Python Django, OpenCV, and MediaPipe, employing SVM for accurate gesture classification.
  • Skills
    ReactJS|NextJS|NodeJS|Express JS|Python|Java|Spring Boot|Microservices|Flask|REST API|HTML & CSS|Docker|Apache Kafka|Machine Learning|LangChain|SQL|PostgreSQL|NoSQL — MongoDB|AWS|Firebase|Git|Github|Distributed Systems|Leadership
    Organizations

    Innovus COET

    Organized a web development hackathon at my college, fostering innovation and teamwork. Managed event planning, team coordination, judge liaison, and logistics to ensure a successful program.

    04/2024

    Hack Club

    Execom Member

    Served as an Executive Committee Member for Hack Club COET, organizing multiple successful tech events.

    01/2021 – 12/2021