Kaustubh S. — Lead ML Engineer
Machine Learning Engineer with 3+ years of experience building and deploying large-scale ML systems across predictive analytics, computer vision, and language models. I specialize in taking ML from research ideation to production including owning model design, deployment, monitoring, and business impact. Currently working as an Associate Tech Lead at Intangles, where I architect predictive maintenance and real-time inference pipelines processing millions of telemetry events per day. My work has directly reduced component failures, improved fleet reliability, and optimized fuel usage across tens of thousands of vehicles. I have a strong research background with multiple peer-reviewed publications in computer vision and video understanding, and hands-on experience with distributed systems, streaming pipelines, and MLOps. I enjoy working at the intersection of ML, systems, and product --> aligning model outcomes with real business KPIs. Core strengths: • End-to-end ML ownership (research → deployment → monitoring) • Computer Vision, Time-Series Forecasting, Language Models • Real-time systems, distributed pipelines, MLOps • Strong collaboration with product and engineering teams Open to ML Engineer, Applied Scientist, and ML-heavy product roles where deep technical work meets real-world impact
Stackforce AI infers this person is a Machine Learning Engineer with a focus on Automotive and Computer Vision technologies.
Location: Pune, Maharashtra, India
Experience: 6 yrs 5 mos
Skills
- Machine Learning
- Mlops
- Computer Science
- Computer Vision
- Research
Career Highlights
- Expert in deploying large-scale ML systems.
- Strong research background with peer-reviewed publications.
- Proven impact on fleet reliability and fuel optimization.
Work Experience
Intangles
Associate Tech Lead (11 mos)
Machine Learning Engineer (2 yrs 7 mos)
SETES GmbH
Software Developer (2 mos)
ZeMA gGmbH
Student Assistant (2 mos)
Universität des Saarlandes
Master Thesis (9 mos)
Graduate Teaching Assistant (1 yr 6 mos)
DreamVu Inc.
Applied Computer Vision Engineer (1 yr)
Inria
Computer Vision Intern (4 mos)
Indian Statistical Instiute, Kolkata
Research Intern (2 mos)
Gesture Research International Ltd.
Computer Vision Intern (1 mo)
SEDS India
Computer Science Co-head (1 yr 2 mos)
Creation Labs
Research lead (1 yr 9 mos)
Education
Master of Science - MS at Universität des Saarlandes
Bachelor of Technology (B.Tech.) at Vellore Institute of Technology
HSC at Kalmadi shamrao junior college
High School at Abhinav Vidyalaya English Medium High School