Jul 2023 – Apr 2024 · 9 mos · San Carlos, California, United States · Hybrid

May 2022 – Aug 2022 · 3 mos

• Part of Monitoring.AI team which operates in the intersection of Machine Learning and Monitoring
• Developed an end-to-end Thrift Service API to leverage Machine Learning and recommend criteria to flag anomalies in Meta's products and infra services for real-time data
• Optimized 70% processing of user requests using concurrency and multi-threading
• Implemented OOPs concepts to make a modular and extendable code
• Rated as top 20% as "Exceed the Expectation"

Jan 2022 – May 2022 · 4 mos · Long Beach, California, United States

• Independently conducting labs to teach MATLAB to sophomore and junior students in Civil Department.

Dec 2021 – May 2023 · 1 yr 5 mos · Long Beach, California, United States

• Member of Deep Learning Research Lab led by Dr. Jucheol Moon
• Reduced training dataset by 90% and attain 93% accuracy, for Few-Shot Learning using modified CNN for GAIT dataset
• Achieved 97% accuracy on Gait Classification Model using Encoder-Decoder in a Two-Head Network Classifier

Oct 2021 – Dec 2021 · 2 mos · Long Beach, California, United States

• Member of Civil and Construction Engineering- Transport Project team led by Prof. Vahid Balali.
• Working on a deep learning model to identify heart rate and heart rate variability from dash cam recordings of driver’s face, using the technique of remote photoplethysmography(rPPG).
• Constructed an end-to-end process to counter video compression loss and recover rPPG signals from highly compressed videos.

Sep 2018 – Jul 2021 · 2 yrs 10 mos · Delhi Area, India

• Built a face recognition system that operates on a live video feed for the product marketing booth using OpenCV and deep learning in Python
• Developed voice command automation for Oracle Siebel using natural language processing in Python.
• o Build an extension to allow users to issue voice commands instead of clicking through multiple UI pages
• o Automated key actions for using Siebel Tools
• SBI Credit Cards – ETL Team:
• o Automated redundant file pre-processing tasks for Informatica mappings using Python
• o Created Informatica mappings for ETL operations on transactional databases and data file generation
• o Part of project planning and managed major project deliveries.
• o Sole recipient of Young Achievers Award, Jan 2021, in my domain of 20,000 people for my automation work
• Received Star Performer Award for receiving top score during TCS Training Program and LIREL Award for following TCS ethics and values in November 2018