Vikas Swami

Software Engineer

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Proficient in software development and automation.
Hands-on experience in machine learning and computer vision.
Active participant in competitive programming events.

Stackforce AI infers this person is a Software Development and Machine Learning specialist with a focus on innovative solutions.

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Skills

Core Skills

Software DevelopmentAutomationMachine LearningComputer Vision

Other Skills

ARAlgorithmsAmazon Web Services (AWS)Beautiful SoupC (Programming Language)C++CNNCompetitive ProgrammingData structureDeep LearningDjangoGo (Programming Language)GolangGoogle Cloud Platform (GCP)HTML

About

Currently pursuing a B.Tech. in Engineering at IIT Patna, with hands-on experience as a Software Development Intern at Nirmata and prior exposure as a Machine Learning Engineer Intern at InfiVR. Proficient in Docker, Linux, and Shell Scripting, contributing to software development projects while leveraging a strong foundation in engineering principles. Actively enhancing problem-solving abilities through competitive programming, including participation in IICPC and Meta Hacker Cup. Dedicated to applying technical skills to impactful and innovative projects.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Nirmata

Software Development Intern

Dec 2024 – Jun 2025 · 6 mos · San Jose, California, United States · Remote

I had the opportunity to work on impactful automation projects that enhanced development efficiency at Nirmata.
Engaged in the Golang development of NCTL, which improved application reliability and performance.
Automated frontend and backend processes, leading to a more streamlined development cycle.
Gained proficiency in Kubernetes and testing frameworks, enriching my software development skill set.

GolangKubernetesAutomationSoftware Development

Infivr

Machine Learning Engineer intern

Aug 2024 – Nov 2024 · 3 mos · Bengaluru, Karnataka, India · Remote

I successfully designed a fall detection system that utilized advanced imaging technologies and machine learning techniques.
Implemented point cloud data processing and keypoint extraction using MediaPipe to enhance system accuracy.
Optimized a hybrid architecture of CNN and LSTM models for effective 3D space tracking and pattern recognition.
Gained hands-on experience in machine learning, computer vision, and spatial data analysis while contributing to InfiVR's safety solutions.

Machine LearningComputer VisionMediaPipeCNNLSTM