Data Engineer

• Apr 2023 - Present

Machine Learning Engineer

• Jan 2023 - Apr 2023

- Engineered a real-time vehicle taillights detection algorithm using Machine Learning for autonomous vehicle applications. - Curated a diverge taillight dataset using a Python-based data annotation tool; achieved 95% accuracy on training and testing the algorithm and reduced manual annotation time by 60%.

Data Engineer

• Sep 2022 - Jan 2023

Data Engineer

• May 2022 - Sep 2022

- Led an Autonomous Driving Data Acquisition Campaign, automated data export pipeline, reducing manual processing time by 90%, improving accuracy by 30%.- Verified and analyzed the perception results leveraging different AI algorithms and performed KPI analysis.- Gained strategic insights by analyzing false positive data frames to understand the corner cases.- Developed a distance estimation algorithm for the farthest visible obstacle based on radar/lidar point cloud clustering.

Member

• Jan 2022 - Present

Data Scientist

• May 2021 - Nov 2021

- Managed the Market Configuration data comprising relevant Codes for Fasenra, an AstraZeneca drug for Asthma. - Developed patient cohorts and implemented a Fasenra initiation deep learning model; increased drug sales by 60%. - Built a Streamlit Application for visualizing the drug usage patterns for Fasenra patients grouped at multiple levels. - Managed the Market Configuration data comprising relevant Codes for Fasenra, an AstraZeneca drug for Asthma. - Developed patient cohorts and implemented a Fasenra initiation deep learning model; increased drug sales by 60%. - Built a Streamlit Application for visualizing the drug usage patterns for Fasenra patients grouped at multiple levels.

Machine Learning Intern

• Jan 2021 - May 2021

- Devised a Scalable Computer Vision and Augmented Reality based Jewelry Try-On Application in Python and Node.js. - Deployed a Deep Learning based Jewelry Background Removal algorithm as a Flask API using U-Net, HTML & JQuery. - Presented the product at Sparkle’21, an International Gems and Jewelry Exhibition organized by Indian State Government followed by its commercial launch as ‘Noor’ fetching 5 major Jewelry brand clients. - Devised a Scalable Computer Vision and Augmented Reality based Jewelry Try-On Application in Python and Node.js. - Deployed a Deep Learning based Jewelry Background Removal algorithm as a Flask API using U-Net, HTML & JQuery. - Presented the product at Sparkle’21, an International Gems and Jewelry Exhibition organized by Indian State Government followed by its commercial launch as ‘Noor’ fetching 5 major Jewelry brand clients.

Summer Intern

• Jun 2020 - Jul 2020

- Built an algorithm for IoMT based product – WellNest 12L, a Bluetooth based portable cardiac care device in Python. - Applied signal processing concepts on ECG signals and generated a personalized patient report for possible cardiac risks. - Built an algorithm for IoMT based product – WellNest 12L, a Bluetooth based portable cardiac care device in Python. - Applied signal processing concepts on ECG signals and generated a personalized patient report for possible cardiac risks.