Ravikanth Kasamsetty

About Ravikanth Kasamsetty

Machine Learning & Engineering Executive with 20+ years of experience building and scaling AI-powered, cloud-native SaaS platforms across startups and Fortune 500 companies. Proven track record of aligning vision with business outcomes, balancing technical depth with organizational leadership to deliver measurable business impact- Led global AI/ML organizations of engineers, data scientists, MLOps, DevSecOps, SRE, and IT - driving innovation across MarTech, FinTech, AdTech, CRM, and B2B SaaS platforms- Deployed ML systems at scale, including anomaly detection, RAG-based text-to-SQL, LLM fine-tuning, and RLHF. Deep expertise in GenAI, Agentic Architecture, MLOps, cybersecurity, mobile, and platform modernization- Business impact: Led 10× revenue growth, scaled the team by 50%, increased customer adoption by 30%, and drove 8× customer growth- Managed $25M+ engineering budgets covering people, cloud, and tooling- Holds 16 patents (including 3 in NLP and text-to-SQL innovation); built 0→1 platforms and scaled real-time streaming and analytics systems processing billions of events and petabytes of data- Strong foundation in ML algorithms spanning supervised/unsupervised learning, deep learning (transformers, LLMs), reinforcement learning, and recommender systems, with a track record of productionizing models under strict SLAs and compliance frameworks (SOC2, GDPR, PCI).

Experience

1. VP of Engineering at Servicechannel

   ServiceChannel

   Mar 2025 — Present

   Drove organizational transformation by introducing agile delivery practices, architecture documentation standards, and engineering KPIs to improve accountability and velocity for web/mobile application teams- Championed multiple AI/ML initiatives including Conversational Analytics, AI Chatbot for self-service, and ML models to detect anomalous work orders and drive proactive interventions.

Education

• Indian Institute of Technology, Kharagpur

  B.Tech (Honors), Computer Science and Engineering

• Penn State University

  M.S., Computer Science and Engineering

Skills

• J2ee Application Development
• Architecture
• Java
• Technology Roadmapping
• Big Data
• Exadata
• Oracle
• Cloud Computing
• Databases
• Java Enterprise Edition
• Enterprise Software
• Spring
• Middleware
• Lamp
• Paas
• Mysql
• Distributed Systems
• Soap
• Soa
• C++
• Rest
• Olap
• Web Services
• Hadoop
• Saas
• Oracle Rac
• Agile Methodologies
• Scalability
• Software Engineering
• Business Intelligence
• Software Development
• Nosql
• Scrum