Summary
Overview
Work History
Education
Skills
Accomplishments
Certificates
Projects
Extracurricular Activities
Languages
Timeline
Generic
ALITTA DIXON

ALITTA DIXON

Ernakulam

Summary

Highly motivated Solution Engineer with experience in designing and deploying scalable software solutions. Skilled in full stack development, microservices and REST APIs. Strong work ethic, adaptable, and excellent with people. Works well independently and in Agile and Scrum teams. Quickly learns new skills and consistently meets project goals.

Overview

3
3
years of professional experience

Work History

Solution Engineer

IBS Software
Ernakulam
10.2021 - Current
  • Analyzed user requirements to develop software solutions and created technical specifications.
  • Developed, tested, debugged and documented software programs using Java, JavaScript and HTML and CSS.
  • Coordinated with quality assurance teams to ensure software met all testing criteria.
  • Documented software designs and architecture for future reference and maintenance.
  • Managed and executed a 6-month onsite upgrade of Nippon Cargo Airlines' system.
  • Resolved complex technical issues in a timely manner.
  • Monitored production environments for errors or unexpected behavior.

Education

Bachelor of Technology - Information Technology

Toc H Institute of Science And Technology
Ernakulam
01.2021

Skills

  • Programming Languages: Java, JavaScript
  • Frameworks & Tools: Spring Boot, RESTful APIs
  • Databases: PostgreSQL

Accomplishments

  • Customer Champ Award : Development Manager ( Mr. Jeba John Shelton )

Certificates

  • Database Management System NPTEL: Indian Institute of Technology Kharagpur February 2019
  • Coursera, Google Cloud Certification on Architecting with Google Compute Engine February 2021

Projects

Leukemia Cancer Cell Detection using CNN, An automated system is developed which can detect the Neutrophil, Lymphocyte, Monocyte and Eosinophil leukemia from the microscopic blood images to improve the accuracy and enable early detection compared to manual approach. In this project a proposed method is used to build an image classifier which uses the concept of convolution neural network in classifying the leukemia type (Neutrophil, Lymphocyte, Monocyte and Eosinophil) which can help the doctor correctly identify the present condition of the patient so that appropriate treatment can be given.

Extracurricular Activities

  • NSS Volunteer
  • Participated in National level Tech Fest 'Techizer 2020' for the event "Nytro Type"
  • Volunteered College Arts Day Mudra at Toc H Institute of Science and Technology
  • Won still model, Physics in district level school fest (2016)
  • Won working model, Social Science in district level school fest (2011)

Languages

  • Malayalam
  • English

Timeline

Solution Engineer

IBS Software
10.2021 - Current

Bachelor of Technology - Information Technology

Toc H Institute of Science And Technology

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ALITTA DIXON