Headline

Software Engineer @ Commvault | Distributed Systems & AI | High Availability | Scalability | C++ • Python • Linux | Ex-AI Intern @ Bosch

About

Software Development Engineer experienced in building and optimizing enterprise-scale systems. Currently working at Commvault, where I develop backend and distributed systems components using C++ and work on high-throughput backup and recovery workflows. My interests lie in distributed systems, backend engineering, cloud, and AI. I enjoy solving challenging problems involving concurrency, scalability, performance optimization, and system reliability. I have experience working with C++, Python, SQL, and backend technologies, and I'm actively expanding my expertise in Go, gRPC, AWS, and modern AI systems. I’m particularly interested in building scalable distributed systems and exploring how AI agents and LLM-powered applications can be integrated into real-world software systems. Always learning, building, and looking for opportunities to solve complex engineering problems.

Location

Andhra Pradesh

AI stack

claude

gemini

github copilot

hugging face

langchain

ollama

Work experience

Software Engineer at Commvault, Jul 2024 - Present · 2 yrs 3 mos, Bengaluru, Working on core backup/restore and orchestration systems at Commvault. • Improved processing efficiency by 15–20% and reduced job failures by 25% through concurrency and performance optimizations • Built RAG-based AI troubleshooting pipelines and .NET REST APIs adopted across 40+ teams • Delivered multiple backend features end-to-end in C++/.NET with full CI/CD and production ownership

SDE Intern at Commvault, Feb 2024 - Jul 2024 · 6 mos, Bengaluru, Karnataka, India

SDE Intern at IBM, Jan 2024 - Feb 2024 · 2 mos, Kochi, Kerala, India

Deep Learning Researcher at Bosch, Oct 2023 - Dec 2023 · 3 mos, Bengaluru, Karnataka, India

Deep Learning Specialist at Bosch, Oct 2023 - Dec 2023 · 3 mos, Research and development on transformer-based and semi-supervised video object segmentation models and optimized architectures for internal datasets. Implemented and enhanced state-of-the-art computer vision models for video object segmentation fine-tuned on the Bosch Global Software dataset using pytorch, achieving a 15% improvement in accuracy.

AI Intern at SecqurAIse Technologies Private Limited, Sep 2022 - Feb 2023 · 6 mos, Remote, Built Siamese-network–based face recognition + anti-spoofing system; improved accuracy from 85% → 97%.

Engineering Team Lead at UST, Jun 2022 - Aug 2022 · 3 mos, Developed computer-vision–based attribute detection pipelines for e-commerce catalog automation.

Software developer intern at UST, Jun 2022 - Jul 2022 · 2 mos, Worked on product attribute detection

Education

Bachelor of Technology, Computer Engineering, Indian Institute of Information Technology Kottayam

Public links

leetcode: https://leetcode.com/Kashyap2502