Software Engineer Computer Science

Samuel Karumanchi Software Engineer

******.************@*****.*** 669-***-****

Santa Clara, CA, US GitHub LinkedIn

Professional Summary

Entry-level Software Engineer passionate about building scalable, high-quality software solutions. Strong academic foundation in computer science, with hands-on experience in Python, SQL, and web development. Fast learner and enthusiastic team player ready to contribute to full-stack, DevOps, or database engineering projects. Education

Santa Clara University, CA

Masters in Computer Science, 2023 – 2025

Relevant Coursework: Distributed Systems, Operating Systems, Networking, Data Science, Web Search, AI, machine learning Keshav Memorial Institute of Technology, India

Bachelors in Computer Science, 2017 – 2021

Technical Skills

• Languages: Python, Bash, C++, SQL, Dart, React, HTML, CSS, Javascript

• Tools: Git, Docker, Kubernetes, CI/CD,, ServiceNow, computer vision, PyTorch, Jira, Azure, REST APIs, Linux

• Cloud: AWS (Lambda, S3, EKS, SQS)

• Concepts: Pattern recognition, LLMs, Recommendation Systems, Data Visualization, UI/UX, IAM Work Experience

Tata Consultancy Services, Hyderabad, India

Assistant Systems Engineer, June 2020 – July 2023

• Supported ServiceNow platform for ITSM operations, incident management, and audit readiness.

• Automated Snowmirror monitoring, reducing manual effort by 30%.

• Developed scripts for audit trails and RCA documentation.

• Collaborated with cross-functional teams to improve problem-solving efficiency by 50%. SCU Frugal Innovation Hub, Santa Clara, CA, USA

Software Engineer, Nov 2023 – Present

• Developed a bilingual science weather app for interactive learning.

• Implemented text-to-speech, state management, and localization for a seamless user experience.

• Skills: Flutter, Dart, JSON, Cmake, C++/C, Ruby, Swift and Lottie animations. Research on Data Centers, Santa Clara University

Student Researcher, Feb 2025 – Mar 2025

• Analyzed modern data center architectures, energy efficiency, and security concerns.

• Explored distributed systems and optimization strategies. Projects

• Movie Recommendation System: Implemented collaborative filtering algorithms (user-based, item-based, neural) with Python, SQL, NumPy; compared MAE for large datasets.

• Driver Drowsiness Detection: Built real-time predictive vision system using OpenCV, Keras, Python.

• Face Detection with Deep Learning: Developed face recognition model using MTCNN, Facenet, SVM.

• Distributed Emergency Notification System: Designed publish/subscribe system using Kubernetes, RabbitMQ, and Docker for real-time messaging.

Certifications

• Front-End JS Frameworks – Angular, The Hong Kong University of Science and Technology

• Neural Networks and Deep Learning, DeepLearning.AI

• Deep Learning Specialization, Coursera

• Best Delivery Team - IT Operations - TCS

Contact this candidate