Veeresh R G — Software Engineer
At Cisco, I've built production applications using LLMs, orchestration frameworks, and cloud data platforms to solve complex business workflows and improve operational efficiency. Outside of work, I'm deeply passionate about endurance sports. As a competitive runner and active member of Bengaluru's running community, I'm fascinated by how data and machine learning can help athletes train smarter, stay healthier, and perform better. This interest has led me to build projects around athlete performance and sports integrity, including: • GPS anomaly detection systems using self-supervised contrastive learning • Reinforcement learning-based training optimization • Time-series modeling on real athlete activity data • End-to-end ML pipelines for sports analytics I enjoy working on problems that sit at the intersection of software engineering, machine learning, and real-world user impact. Whether it's designing scalable backend systems, building intelligent applications, or exploring new approaches in applied ML, I'm motivated by turning ideas into products people actually use. Currently exploring: 🏃 Athlete Performance & Sports Intelligence 🤖 Machine Learning Systems 📈 Time-Series Modeling & Reinforcement Learning ⚡ Distributed Systems & Data Infrastructure 🚀 AI Products at Scale Always happy to connect with engineers, builders, runners, and anyone working on the future of Tech and Sports.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and machine learning applications.
Location: Bengaluru, Karnataka, India
Experience: 3 yrs 1 mo
Skills
- Large Language Models (llm)
- Amazon Web Services (aws)
- Recommendation
- Openai Products
Career Highlights
- Expert in building ML applications for operational efficiency.
- Passionate about athlete performance and data-driven training.
- Led successful hackathon project leveraging LLMs.
Work Experience
Cisco
Software Development Engineer II (0 mo)
Software Development Engineer I (1 yr 8 mos)
SDE Intern (5 mos)
Adobe
Technical Consultant Intern (3 mos)
Subspace Community
Chief Innovation Officer (4 mos)
PESU Venture Labs
Full Stack Developer (4 mos)
6inc
Software Developer (4 mos)
Cisco thingQbator
Web Developer (2 mos)
IEEE Computer Society PES University
Web Dev Lead (1 yr)
Web Developer (8 mos)
Under 25
Snapchat Opinion Leader (8 mos)
Education
Bachelor of Technology at PES University
at Army Public School, PRTC