Summary
Junior software engineer with 2 years of experience in developing scalable and maintainable applications in Java and Python. One of my main objective is to work in a technically strong team with a good balance of power and responsibility, especially leveraging Open-Source technologies.
Education
B.Tech in Electrical Engineering (CGPA - 8.1)
National Institute of Technology Calicut
July 2019 – Sept 2023
- Coursework: Data Structures and Algorithms, Artificial Intelligence and Machine Learning
- Senior-Executive of Registration Committee-Ragam’23, Executive of Public Relations Committee-Tathva’22.
Experience
Software Engineer
Wells Fargo – Hyderabad, India
Aug 2023 – Present
- Spearheaded the development of a real-time data pipeline with Kafka, Camel, and Solace, scaling to 1 million+ trades/day with subsecond latency.
- Engineered a Python automation to streamline API onboarding, resulting in a 300% reduction in the average onboarding timeline.
- Engineered a cross-environment configuration synchronization utility that automated a critical manual task during Business Continuity Exercises (BCE), eliminating hours of manual effort.
- Drove modernization in parts of a monolith into cloud native microservices, cutting down release time by 50%.
Project Trainee
Bosch Global Software Technologies – Coimbatore, India
May 2022 – July 2022
- Investigated and analyzed the oil cooling topologies of current EV electric motors, focusing on key design trade-offs and efficiency metrics.
- Delivered a comprehensive technical report to senior engineering staff, outlining research conclusions and proposing design improvements.
Software Engineering Intern
Gallant Technologies – Remote
Oct 2021 – Feb 2022
- Developed and delivered two cross-platform mobile applications using Flutter and Dart focusing on API integration and state management.
- Contributed to a dynamic application framework for rapid white-labeling and branding changes with limited code modifications.
Projects
Image-2-Sudoku Solver [GitHub]
Developed an application that reads sudoku boards from images, loads them into a UI, and provides an option to solve the puzzle.
Tools Used: Python, OpenCV, Tensorflow, Tkinter, Pygame
FACTS: Facial Attendance and Class Tracking System [GitHub]
Developed a web app with role-based access to create class schedules and track attendance using facial recognition.
Tools Used: React, Python, RabbitMQ, Firebase, Supabase(PostgreSQL)
Technologies
Certifications
- • Deep Learning Specialization by Andrew Ng, Coursera.
- • Computer Vision with Deep Learning, Udemy.