Amritha G K

Software Engineer

Hyderabad, Telangana, India2 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in AI and Machine Learning solutions.
Experience in developing educational content for large student groups.
Proficient in automated testing frameworks and DevOps practices.

Stackforce AI infers this person is a skilled Software Engineer with a focus on AI and Machine Learning in the technology sector.

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Skills

Core Skills

Artificial IntelligenceMachine LearningDevops

Other Skills

AI-based solutionsSeq2Seq modelsFine-tuning modelsYOLOv9-c-segPyTorchDeepSVGOpenCVPythonSeleniumJenkinsAllureBig DataDigital Image ProcessingData AnalyticsData Analysis

About

Passionate about cutting-edge technology and providing innovative solutions to real-world problems. Currently exploring Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Cloud Computing, Computer Systems and Software Design.

Experience

2 yrs 3 mos

Total Experience

9 mos

Average Tenure

11 mos

Current Experience

Apple

2 roles

Software Engineer

Jun 2025 – Present · 11 mos

SDE Intern

Jan 2025 – Jun 2025 · 5 mos

Pes university

Teaching Assistant (Data Analytics)

Jul 2024 – Dec 2024 · 5 mos

Created assignments on recommender systems and data mining for a batch of 650+ students
Curated course content on Multi-modal Recommender Systems.
Worked in a team of six to manage the assignments for the course from start to end.

Nissi agency llp- india

Intern

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India

Worked on developing AI-based solutions to an industry-specific problem.
Developed Seq2Seq models, Fine-tuned Gemma-2B with LoRA, fine-tuned YOLOv9-c-seg with Ultralytics.
Tools used: PyTorch, DeepSVG, PyTorch Geometric, OpenCV, Inkscape.

AI-based solutionsSeq2Seq modelsFine-tuning modelsYOLOv9-c-segPyTorchDeepSVG+3

Hewlett packard enterprise

Student Intern

Jun 2023 – Jul 2023 · 1 mo

Developed an Automated software testing framework focused on Behaviour-Driven Development and implemented it in the 'Test' phase of the DevOps lifecycle. This opportunity was offered through the Centre for Cloud Computing and Big Data(CCBD), PES University.
Tools used: Python, Selenium, Jenkins, Allure