Kedar P. Waghmode
San Francisco
Summary
- Served as Vice President of Engineering, leading the organization to achieve 55x revenue growth in 5 years at Stovell AI.
- Architected and built a scalable ML platform enabling large-scale experimentation, multi-model development, and automated inference, scoring, and canary monitoring to detect data and model drift—reducing model development time by 65%
- Supporting the creation of thousands of models over 7 years, with 140 models deployed in production.
- Oversaw the ML Platform organization, enabling revenue expansion with unmatched cost efficiency - $1 of top-line gain requires only 0.5¢ in additional GPUs and infra.
- Hired and onboarded engineers, business executives, and contractors across all stages of the ML model lifecycle; successfully built and scaled on-site and offshore engineering teams in the USA and South America.
- Contributed to 4 successful startup exits, managing both technical and business responsibilities across multiple domains.
- Successfully pitched product, technology roadmap, and vision to investors, channel, and business partners.
- Supported early customers from proof of concept through production and post-deployment support to customers in North and South America, Europe, and APAC.
Overview
21
21
years of professional experience
1
1
Certification
Work History
Vice President of Engineering
Stovell AI Systems
03.2021 - Current
- Built and scaled a multi-regional engineering organization by hiring and structuring ML Research, MLOps, and Data Engineering teams, defining ownership boundaries and execution interfaces that improved delivery velocity and reliability of complex enterprise platform capabilities.
- Co-defined company-wide technical strategy with executive and architecture leadership, driving a multi-year engineering roadmap that scaled the platform by 10× while sustaining performance, reliability, and accelerated revenue growth.
- Directly supported enterprise customer acquisition by leading architecture reviews, technical evaluations, and executive-level demos, influencing purchasing decisions by demonstrating platform differentiation, scalability, and production-grade reliability.
- Designed and institutionalized a guided onboarding system (documentation, hands-on labs, and production runbooks) that reduced new-engineer ramp-up time from weeks to 2 days while maintaining production readiness.
- Established a structured mentorship and career-development program that enabled ML, MLOps, and Data Engineers to progress into higher-scope roles, resulting in multiple successful promotions and a durable leadership pipeline.
Tech Lead
Stovell AI Systems
06.2020 - 03.2021
- Built a scalable operating model supported by targeted hiring - mix of full-time and contractors, defining roles, workflows, and quality controls that increased delivery throughput during rapid demand growth, driving 10× revenue and 2× profit expansion.
- Directed cross-functional execution across Engineering, Sales, Product Management, and external partners, streamlining coordination and removing delivery blockers, which ensured critical initiatives launched on schedule and contributed to overall organizational momentum.
Senior Staff Engineer
Stovell AI Systems
06.2019 - 05.2020
- As the first engineering hire for the energy vertical, I designed and implemented the end-to-end MLOPS stack for time series forecasting (price and volume), creating the technical backbone for the vertical’s product roadmap.
Lead MLOPS Engineer
Parallel M(Acquired by Data Robot)
12.2016 - 06.2019
- Designed and developed REST APIs for ML governance, explainability, custom statistics for MCenter ML pipelines, user management, log rendering, and user activity tracking—reducing customer onboarding time by 75% and accelerating platform adoption.
- Built and optimized MCenter’s backend to run, monitor, and upgrade ML pipelines across Kubernetes, Apache Spark, Cloudera, and Hortonworks - improving pipeline reliability and reducing operational issues by 40% for enterprise deployments.
- Developed a microservices-based deployment solution with end-to-end encryption and enterprise integrations (LDAP/LDAPS, Kerberos) - cutting deployment time from hours to minutes and enabling secure, repeatable rollouts for large customers.
- Drove the company’s first customer engagement from proof of concept to production - achieving a successful launch, establishing a long-term strategic relationship, and creating the deployment blueprint used for all future customers.
- Acquired by DataRobot
Member of Technical Staff
Springpath(Acquired by Cisco)
07.2015 - 12.2016
- Co-engineered the integration of HyperFlex with Cisco UCS Manager, delivering a one-click infrastructure configuration workflow that cut manual deployment effort by 80% and scaled deployments from 8 customers in the prior 3 years to 2,100 in 18 months post partnership with Cisco.
- Designed and delivered REST APIs to deploy and validate compute, storage, and networking components for HyperFlex, extending the same framework for continuous production health monitoring across large-scale clusters.
- Acquired by Cisco
Senior Software Engineer
Fusion-io(Acquired by SanDisk)
08.2011 - 07.2015
- Designed and built the backend for Fusion-io’s ioSphere platform—supporting caching, workload profiling, and SSD health monitoring—which prevented up to 65% of customer downtime and performance degradation across large-scale deployments.
- Led development of IoT-Direct, the physical caching engine for ioTurbine, enabling enterprise-wide adoption on Windows—the dominant enterprise OS at the time—and expanding Fusion-io’s addressable market significantly.
- Acquired by SanDisk
Software Engineer
ioTurbine
06.2011 - 08.2011
Software Engineer Intern
Symantec
06.2010 - 12.2010
Software Engineer
Uniken Systems Inc.
10.2006 - 06.2009
Software Engineer Intern
Calsoft Inc.
06.2005 - 06.2006
Education
M.S - Computer Science
Syracuse University
NY05.2011
B.E. - Computer Engineering
P.I.C.T
Pune, India05.2006
Continued Education through Coursera, Deeplearning.ai, Books, Blogs, Podcasts etc.
Skills
- AI/ML Platform Architecture
- Observability
- Monitoring & Health Automation
- Enterprise Software Engineering
- Cloud & Distributed Systems
- Team Building
- Organizational Scaling
- Executive Leadership
- Technical Leadership
- Go-to-Market
- Sales
- Investor Engagement
- Program Management
- Delivery Management
Certification
- Deep Learning Specialization - Coursera
- Sequences, Time Series, and Predictions - Coursera
- Big Data Modeling and Management Systems - Coursera
Programming Languages And Tools
Cursor, Leading LLMs, Torch, Tensorflow, Numpy, Pandas, Python, Bash, SQL, Kubeflow, Kubernetes, Jenkins, Airflow, Lambda Functions, Docker, MySQL, Amazon RDS, Snowflake, dbt, Google Cloud Platform, AWS, Azure, On-Premises, Miro, git, JIRA, Confluence, REST, Google Protobuff, GRPC, SOAP
Timeline
Vice President of Engineering
Stovell AI Systems
03.2021 - Current
Tech Lead
Stovell AI Systems
06.2020 - 03.2021
Senior Staff Engineer
Stovell AI Systems
06.2019 - 05.2020
Lead MLOPS Engineer
Parallel M(Acquired by Data Robot)
12.2016 - 06.2019
Member of Technical Staff
Springpath(Acquired by Cisco)
07.2015 - 12.2016
Senior Software Engineer
Fusion-io(Acquired by SanDisk)
08.2011 - 07.2015
Software Engineer
ioTurbine
06.2011 - 08.2011
Software Engineer Intern
Symantec
06.2010 - 12.2010
Software Engineer
Uniken Systems Inc.
10.2006 - 06.2009
Software Engineer Intern
Calsoft Inc.
06.2005 - 06.2006
M.S - Computer Science
Syracuse University
B.E. - Computer Engineering
P.I.C.T