Kondaveeti Venkata Jaya Harsha
Ai Engineer Intern @Oscowl Ai
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WORK HISTORY
Ai Engineer Intern @Oscowl Ai
Hyderabad, IN
EDUCATION
Indian Institute of Information Technology, Raichur
Bachelor of Technology - BTech
Tirumala IIT & Medical Academy
12th
International Institute of Information Technology Hyderabad (IIITH)
Minor, Modern Machine Learning
Little Flower School, Uppal
10th
ABOUT KONDAVEETI VENKATA JAYA HARSHA
I’m a pre-final year B.Tech CSE student at Raichur, pursuing a Minor in Modern Machine Learning from Hyderabad, with a strong interest in core machine learning and applied ML systems.I enjoy working on problems that span model development and real-world deployment — from experimenting with architectures and training pipelines to integrating models into production workflows. My interests include representation learning, optimization, and building ML systems that are efficient, reliable, and scalable.Previously, I worked as an AI Developer Intern at VISWAM AI, where I contributed to production-oriented and open-source ML infrastructure, including model pipelines, retrieval-based systems, and deployment workflows. Alongside this, I work as a Web Developer at Raichur, which has given me solid exposure to building and maintaining end-to-end software systems.I’ve worked with Azure, Databricks, and modern ML/data tooling, and I’m particularly interested in bridging core ML ideas with applied constraints such as latency, reliability, and system design.Beyond technical work, I’ve served as Public Relations Head at Raichur, helping me develop strong communication, leadership, and cross-team collaboration skills, which I value when working in engineering and research-driven environments. Areas of Interest1. Core Machine Learning (representation learning, optimization, modeling)2. Applied ML & ML Systems3. MLOps, Experimentation, and Model Lifecycle4. Cloud Platforms & ML Infrastructure (Azure, Databricks)5. Open-Source ML / AI Contributions What I’m Looking For :Opportunities in Applied ML, ML Engineering, or ML Systems, where I can work on real-world problems, contribute to production-grade ML solutions, and continue learning from experienced engineers and researchers.
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