Aashay Sachdeva

Co-Founder

Bangalore Urban, Karnataka, India8 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

5 years of diverse data science experience
Two patents in gaming and healthcare ML systems
Passionate about driving business impact with ML

Stackforce AI infers this person is a Data Scientist specializing in Machine Learning applications across Gaming and Healthcare industries.

Contact

aashay96@gmail.com LinkedIn

Skills

Core Skills

Machine LearningAi DevelopmentData ScienceComputer VisionHealthcare Analytics

Other Skills

A/B TestingBackground RemovalC++Customer ServiceData AnalysisData StructuresDeep LearningDigital MarketingError AnalysisFoundational model trainingFraud detectionImage ProcessingLeadershipManagementMatchmaking infrastructure

About

As a data scientist with 5 years of experience in various industries, including healthcare, SaaS, and gaming, I have experience in building real-time ML systems. I am passionate about creating robust ML systems for solving complex problems to drive business impact and improve decision-making. I have a track record of success in developing innovative solutions, as evidenced by my patent in matchmaking in gaming and real-time ML in healthcare. My goal is to continue pushing the boundaries of what is possible with ML, and to use my skills and experience to drive positive change in the world.

Experience

Sarvam ai

Founding Team/ ML

Nov 2023 – Present · 2 yrs 4 mos · Greater Bengaluru Area

Building the full Stack platform for GenAI. Ping me if you have interesting usecases!
Working on -
Foundational model training
Scaling pretraining for code and agentic tasks

Foundational model trainingScaling pretraining for code and agentic tasksMachine LearningAI Development

Rebright partners

Senior Associate

Jul 2023 – Nov 2023 · 4 mos · Bengaluru, Karnataka, India

If you are building in Deep Tech, please reach out to me at aashay@rebrightpartners.com

Mobile premier league (mpl)

3 roles

Senior Data Scientist

Promoted

Aug 2022 – Jul 2023 · 11 mos · Bengaluru, Karnataka, India

Joined as the first Data Scientist. Worked mostly on building the matchmaking infra(our team got 2 patents!), other projects included fraud detection, recommendations.

Matchmaking infrastructureFraud detectionRecommendationsData ScienceMachine Learning

Data Scientist-II

Aug 2021 – Aug 2022 · 1 yr · Bengaluru, Karnataka, India

Data Scientist

Aug 2020 – Aug 2021 · 1 yr · Bengaluru, Karnataka, India

Kubric

Member Of Technical Staff, Data Science

Jan 2019 – Aug 2020 · 1 yr 7 mos · Bangalore

Saliency Detection System - Generating a Hard-Saliency map for an image which tries to
estimate the human viewpoint focus,Currently being used in Multiple projects - Smart Crop, Auto-Position,Image Quality Check, Optimised Metric of Time to live creative from avg. 5-6 minutes to 1 minute
per creative.
Background Removal - Trained two convolutional neural networks - one for semantic segmentation and one for generating alpha matting for two classes - products and foods. Metric tracked online - how many images were usable.

Saliency Detection SystemBackground RemovalComputer VisionMachine Learning

Stasis labs

2 roles

Data Scientist

Jun 2018 – Dec 2018 · 6 mos

Worked in a team of 3 Data Scientists, build an ML system to predict Patient Deterioration. Granted Patent for State of the art implementation.
Created A/B test system for checking different heuristics and Models, Error Analysis and Alert System Quality Check.

Patient Deterioration PredictionA/B TestingError AnalysisMachine LearningHealthcare Analytics

Data Science Intern

Jan 2018 – Jun 2018 · 5 mos

Most hospital patients around the world are only seen by a nurse once every six hours. Due to the high cost and complexity of existing monitoring devices, these vulnerable patients are left alone without even a vitals monitor. Tragically, up to 75% of injuries and deaths in hospitals happen to these patients who lack basic medical supervision.
Stasis has built a cloud-connected vital signs monitoring system that rescues these patients. We are expanding access to a fundamental tool of modern medicine to the 11 million under-monitored beds around the world.
Stasis was a part of the first cohort of the Techstars Healthcare Accelerator, in Partnership with Cedars-Sinai. We received endorsement by the International Finance Corporation, part of the World Bank Group, to help improve and expand the reach of medical technology worldwide. Our monitors are currently live in Indian hospitals, and we continue to deploy our system in India as we prepare to expand our life-saving solution across the globe.
To learn more go to: www.stasislabs.com (http://www.stasislabs.com/)