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Varshitha M S GowdaVG
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Varshitha M S Gowda

@varshithamsgowda

I’m a Computer Science graduate building ML and full-stack solutions for real-world impact.

India
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What I'm looking for

I want to contribute and grow in a dynamic technology environment, building practical, user-focused ML/AI and full-stack solutions. I’m excited to work on predictive models, automation, and measurable improvements while learning from strong teams.

I’m a Computer Science graduate with internship experience in Machine Learning, Generative AI, and Full-Stack Development. I enjoy turning data into practical products that solve everyday problems.

During my internship, I engineered an ML-driven train delay prediction system that analyzed delays and recommended alternative transportation options. It improved travel planning efficiency by up to 40% through intelligent delay forecasting.

I also built a full-stack product description generator using ML techniques like TF-IDF and cosine similarity. It reduced manual content effort by nearly 70% while accelerating product onboarding.

From my academic projects, I learned to ship with measurable outcomes—like a deep learning system for fruit and vegetable identification that improved evaluation efficiency by ~70%, plus a recommendation platform that cut topic selection time by 65%. I’m motivated by strong problem-solving, analytical thinking, and building user-focused solutions while continuing to grow in a dynamic technology environment.

Experience

Work history, roles, and key accomplishments

CO

Machine Learning & GenAI Intern

Contriver

Feb 2026 - May 2026 (3 months)

Completed a 3-month internship in machine learning, generative AI, and full-stack development, building end-to-end applications with REST APIs. Engineered a train delay prediction system that improved travel planning efficiency by up to 40% and built a product description generator that reduced manual content effort by nearly 70%.

Education

Degrees, certifications, and relevant coursework

GH

Government Engineering College, M H Halli, Hassan

Bachelor of Engineering, Computer Science & Engineering

2022 - 2026

Grade: CGPA: 8.88

B.E. in Computer Science & Engineering from Government Engineering College, M H Halli (Hassan) with a CGPA of 8.88. Coursework included Data Structures and Algorithms, DBMS, Operating Systems, Computer Networks, Machine Learning, and Finite Automata.

BH

Brigade PU College, Hassan

Higher Secondary Education, Pre-University (PCMB)

2020 - 2022

Grade: 93%

Studied PCMB (Physics, Chemistry, Mathematics, Biology) at Brigade PU College, Hassan from 2020 to 2022, scoring 93%.

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