Mukundan Madhavan — Software Engineer
Machine learning engineer with strong expertise in both classical machine learning and deep learning. Proven track record of delivering ML-based solutions in multiple domains. -- I currently work as a ML lead in Google Search. In this role, I have led the construction of multiple state-of-the-art entity embeddings for the billions of entities present in Google's Knowledge graph. My projects have typically centred on using LLMs and LLM-based dual encoders under different architectures. Prior to this, I've worked ~5-year stints in Goldman Sachs and IBM Research India. At Goldman Sachs (Technology division), my work involved predictive modelling on infra-generated datasets (telemetry generated by networks/disks, application logs etc.). As part of this, I led the delivery of highly scalable capacity outage prediction frameworks, real-time anomaly detection systems and application log-mining systems. At IBM Research, I worked on various areas including image classification and bandwidth-aware scheduling for cellular traffic. I typically lead projects through their complete lifecycle from problem formulation, ML solution design to prototyping and productionisation. I also have a strong track record of patenting and publishing my work in peer-reviewed venues.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Fintech and Tech industries.
Location: Bengaluru, Karnataka, India
Experience: 16 yrs 2 mos
Skills
- Machine Learning
- Deep Learning
- Predictive Modelling
Career Highlights
- Expert in machine learning and deep learning solutions.
- Led innovative projects in predictive modeling and anomaly detection.
- Strong track record in patenting and publishing research.
Work Experience
Software Engineer (4 yrs 5 mos)
Goldman Sachs
Data Scientist and Tech Lead (6 yrs 4 mos)
IBM
Research Sotware Engineer (5 yrs 2 mos)
Hewlett-Packard Laboratories
Intern (3 mos)
Education
M.S at Indian Institute of Technology, Madras
B.Tech at S.R.M University