Headline

Trainee at Ooliga Research

About

I build AI systems that solve real problems — from detecting student attention in live classrooms to flagging coronary artery disease from ECG data. Recently graduated with a B.E. in Artificial Intelligence & Data Science (CGPA: 9.5/10), I've spent the last two years turning that foundation into hands-on production experience across two industry internships and five end-to-end projects. At AiRobosoft, I implemented and benchmarked 6+ ML algorithms and co-built a YOLOv8-powered smart classroom monitoring system capable of real-time attendance and engagement tracking — replacing manual roll call entirely. At ELite, I owned an end-to-end ETL pipeline and built a YouTube Analytics Dashboard (Power BI + API integration) that cut reporting time from weekly to near real-time. My technical focus spans: • Computer Vision — YOLOv8, OpenCV, real-time object detection • Machine Learning — classification, regression, clustering, model evaluation (F1, accuracy) • NLP — TF-IDF pipelines, sentiment analysis (~88% accuracy on public benchmarks) • Data Analytics & BI — Power BI, Tableau, ETL pipelines, stakeholder dashboards I care about interpretable, deployable outputs — not just notebooks. Every project I've shipped includes an inference interface or reporting layer that a non-technical user can actually use. Currently seeking entry-level roles in AI Engineering, Machine Learning, or Data Science where I can contribute from day one and grow into a full-cycle ML engineer. 📍 Bengaluru, Karnataka | 📩 hamshitha04@gmail.com | Open to relocation

Location

Greater Bengaluru Area

AI stack

claude code

claude

gemini

lovable

metaai

ChatGPT

Work experience

Trainee at Ooliga Research, Aug 2026 - Present · 2 mos, Bengaluru, Karnataka, India

Artificial Intelligence Machine learning at AiROBOSOFT Products And Services, Feb 2026 - May 2026 · 4 mos, Bengaluru, Karnataka, India, Benchmarked 6+ supervised and unsupervised ML algorithms (Decision Tree, Random Forest, SVM, K-Means) on structured datasets; selected optimal models using F1-score and accuracy metrics. Designed and deployed an AI-based Smart Classroom Monitoring system using YOLOv8 + face recognition on live camera feeds — achieving real-time student attention tracking and automated attendance logging, reducing proxy attendance risk to near-zero. Integrated detection pipeline with a per-student reporting dashboard; delivered CSV-based attention score exports for teacher review after each class session. Maintained clean, documented Python notebooks reviewed by senior engineers; contributed model training and evaluation scripts to a shared codebase.

Data Analyst at ELITE, Aug 2025 - Sep 2025 · 2 mos, Bengaluru, Karnataka, India, Designed and deployed an end-to-end ETL pipeline that cleaned, transformed, and loaded raw operational data into Power BI dashboards consumed by business stakeholders. Built a YouTube Analytics Dashboard integrating the YouTube Data API with Power BI, tracking views, engagement rate, and subscriber growth across multiple channels — reducing manual reporting from weekly cycles to near real-time. Conducted exploratory data analysis on structured datasets; translated findings into plain-English insights and presented directly to team leads, supporting data-driven decisions.

Education

Bachelor of Engineering, Artificial Intelligence, coorg institute of technology