Varshitha M S Gowda
@varshithamsgowda
I’m a Computer Science graduate building ML and full-stack solutions for real-world impact.
What I'm looking for
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
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
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.
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%.
Availability
Location
Authorized to work in
Portfolio
my-portfolio-jet-one-45.vercel.appJob categories
Skills
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