Rahul Kamath

Rahul Kamath Email and Phone Number

Lead Machine Learning Engineer, athenaCollector AI Zone @ athenahealth
Chennai, TN, IN
Rahul Kamath's Location
Bengaluru, Karnataka, India, India
About Rahul Kamath

Strong background in Machine Learning (ML) and Natural Language Processing (NLP) including model development, deployment and support.• 9+ years professional experience in developing and implementing ML-based solutions across multiple domains including life sciences, technology and finance. • Deployed multiple ML models in production covering all aspects of model life cycle management.• Led multiple teams of data scientists providing quality technical guidance and mentorship. • Strong expertise in leveraging cloud platforms (AWS, Azure) to deliver ML solutions at scale.• Presented a research paper at the international conference PACLIC-29, subsequently published in the Association of Computational Linguistics (ACL) anthology.• Masters in Engineering from the University of Tokyo - conducted research under the guidance of Prof. Yutaka Matsuo, one of the foremost Deep Learning experts in Japan. Skills:Machine Learning, Deep Learning, Natural Language Processing, MLOps ML tools - Pytorch, TensorFlow, Scikit-Learn, XgBoostMLOps tools - Docker, Kubeflow, AWS (ECS, CloudWatch), Kubernetes

Rahul Kamath's Current Company Details
athenahealth

Athenahealth

View
Lead Machine Learning Engineer, athenaCollector AI Zone
Chennai, TN, IN
Website:
athenahealth.com
Employees:
8372
Rahul Kamath Work Experience Details
  • Athenahealth
    Lead Machine Learning Engineer, Athenacollector Ai Zone
    Athenahealth
    Chennai, Tn, In
  • Athenahealth
    Lead Data Scientist
    Athenahealth Dec 2023 - Present
    Bengaluru, Karnataka, India
    • Fine-tuned Large Language Models (LLM’s) on clinical text implementing advanced scaling techniques, including model parallelism, data parallelism and pipeline parallelism to automate complex medical coding tasks.• Developed and deployed ML models for insurance claims denial prevention and management which is projected to decrease BPO tasks and spends by 20-25% resulting in savings of approx. $5Mn/year. • Investigated and addressed issues with production ML systems by systematically analyzing metrics and logs across different production system components including our prediction service and prediction store.
  • Athenahealth
    Senior Data Scientist
    Athenahealth Nov 2021 - Nov 2023
    Bengaluru, Karnataka, India
    • Member of athena intelligence (athenahealth’s R&D division)• Medical coding using Electronic Health Records (EHR)• Insurance claim denial prediction and management for Revenue Cycle Management team
  • Zs
    Data Scientist Iii
    Zs Jan 2021 - Nov 2021
    Bangalore Urban, Karnataka, India
    Led a team of 4 data scientists in managing 20+ ML models in production for the analytics team of Microsoft Azure including model enhancements, prod. issue resolution, migration to cloud and performance monitoring.
  • Zs
    Data Scientist Ii
    Zs Dec 2018 - Dec 2020
    Bangalore Urban, Karnataka, India
    • Leveraged Bayesian models, tree-based models and survival analysis to identify drivers of sales erosion for a large Swiss pharmaceutical company leading to 30% increased chance of non-erosion and 3-4 months delay in erosion.• Modelled the propensity of a physician adopting a new drug using Gradient Boosting technique providing 4x lift over a random model and 1.5x lift over traditional rule-based approach.• Managed vendor implementation of a web application showcasing 15+ ML use cases which was very well received by partners across the company and clients across the globe.
  • Scobo
    Founder
    Scobo Sep 2016 - Nov 2018
    • Built a next generation AI-powered people search engine targeted at the UK market which provides useful information aggregated from a variety of sources using advanced Artificial Intelligence algorithms.• Indexed more than a million professionals with detailed information obtained using distributed web crawlers and processed using Machine Learning algorithms. The service had around 20000 page-views per month at its peak.• Optimized the websites' performance which resulted in Google Pagespeed Insights score of 97/100 across devices.• The web application is built using cutting edge technologies including Containerization (Docker), Web Components (Polymer), NoSQL (MongoDB), Full-Text Search (Elasticsearch) and deployed using AWS tools like EC2, S3, CloudFront and Route53.
  • Ohma Inc
    Backend Engineer
    Ohma Inc Oct 2015 - Jul 2016
    Tokyo, Japan
    • Worked from scratch on the design and development of a people search engine SPYSEE 2 (http://spysee2.jp), which automatically collects and visualizes information with a strong focus on human relations.• Developed contemporary Machine Learning and Natural Language Processing based algorithms for the extraction of various types of information about people (bio-data, profile picture, social network, related webpages etc.) from unstructured and noisy web data.• Developed a solution for name disambiguation problems in short texts using a probabilistic classifier.• Implemented a high-performing face recognition solution using a combination of Google’s OpenFace library and K-Means clustering.• Crawled millions of webpages efficiently using programs built to run using Amazon Web Services.• Solely responsible for maintaining the legacy site SPYSEE (http://spysee.jp), which at one point was Japan's most popular people search engine which had more than 20 million page-views per month at its peak.
  • Ohma Inc
    Backend Engineer
    Ohma Inc Jan 2015 - Sep 2015
    Tokyo, Japan
    • Developed modules capable of extracting a person's social network from the web using heuristic techniques.• Developed a face detection module using OpenCV capable of identifying faces of people from images with a high degree of accuracy and at scale.• Developed a module to identify people trending on news websites using Klienberg's burst detection algorithm.

Rahul Kamath Skills

Python Microsoft Azure Docker Amazon Web Services Mongodb Machine Learning Linux Data Science Mlops Deep Learning Javascript Django Cascading Style Sheets Natural Language Processing Nosql Html Sql

Rahul Kamath Education Details

Frequently Asked Questions about Rahul Kamath

What company does Rahul Kamath work for?

Rahul Kamath works for Athenahealth

What is Rahul Kamath's role at the current company?

Rahul Kamath's current role is Lead Machine Learning Engineer, athenaCollector AI Zone.

What schools did Rahul Kamath attend?

Rahul Kamath attended The University Of Tokyo, B. M. S. College Of Engineering.

What skills is Rahul Kamath known for?

Rahul Kamath has skills like Python, Microsoft Azure, Docker, Amazon Web Services, Mongodb, Machine Learning, Linux, Data Science, Mlops, Deep Learning, Javascript, Django.

Who are Rahul Kamath's colleagues?

Rahul Kamath's colleagues are Abhishek Singh, Melissa Harding, Vijaykrishnan M, Angela Kinsey, Christina Hankins Davison, Robin Twyman, Walter Delevich.

Not the Rahul Kamath you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.