Jan 2025 – Mar 2025 · 2 mos · New York, United States · Remote

Aug 2024 – Dec 2024 · 4 mos · New Jersey, United States · Hybrid

• Developed an AWS pipeline to process raw data in S3 using Lambda and store the results back to S3.
• Built a recommendation system pipeline using S3, Lambda, and SageMaker for real-time recommendations and weekly model training.
• Enhanced scalability and maintainability by modularizing a 2000+ line Lambda function into smaller, manageable functions.

Feb 2024 – May 2024 · 3 mos · New Jersey, United States · Hybrid

• Orchestrated dataset creation for a Computer Vision task on vehicle damage segmentation using Segment Anything Model
• Trained a deep neural network to accurately segment surface damage on vehicles, aim to enhance the accuracy by 20%
• Formulated evaluation metrics for Grounding DINO and SAM by analyzing IoU scores, utilizing COCO annotations
• Integrated Snowflake with machine learning models to store, analyze, and visualize prediction results, enhancing the accuracy and reliability of vehicle damage forecasts
• Performed image visualization of car damage segmentations and bounding boxes using voxel51
• Implemented an ML pipeline using ClearML to streamline the entire process from data collection to model evaluation
• Implemented machine learning models for predictive analytics using Python, boosting forecast accuracy by 20%
• Configured Snowpipe for continuous data ingestion from S3 into Snowflake, ensuring real-time updates and availability of image datasets for ongoing model training and evaluation.
• Responsible for configuring the Tomcat Server to access the Database by setting up Data source and Connection Pool
• Developed machine learning algorithms for data classification and anomaly detection using TensorFlow

Sep 2023 – May 2024 · 8 mos · United States · On-site

• - Educated 80 students in AWS fundamentals as a Teaching Assistant for Big Data course, enhancing their cloud computing skills

Sep 2023 – Dec 2023 · 3 mos · United States · On-site

• - Assisted as a Graduate Tutor, offering support in Data Structures & Machine Learning, helping peers master complex concepts

Jul 2023 – Sep 2023 · 2 mos · New Jersey, United States · Hybrid

• Crafted a Python framework to validate use cases through alarm correlation within a communication network, significantly accelerating the analysis process from hours to mere minutes
• Utilized advanced Python libraries such as NetworkX and Bokeh to construct and visually represent graphs for alarm correlation
• Designed and implemented a data cleansing and topic modeling pipeline utilizing NLP methods for customer care call logs.

Jun 2021 – Jul 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Streamlined workflows by creating a C++ framework to reuse code libraries for common functions, improving the code reusability by 60%.
• Optimized the codebase, mitigating core overloading and improving performance, aligning with the best practices for software development.
• Upgraded 5G GBR services feature, achieving notable enhancements in video call clarity and a reduction in latency for live gaming, demonstrating expertise in network performance optimization.

Mar 2021 – Jun 2021 · 3 mos

• Led a Python automation initiative for executing test cases, increasing code coverage by 8% and reducing manual work significantly.
• Collaborated in a cross team project that migrated over 10K lines of legacy C code to C++, ensuring thorough unit testing for reliability.
• Significantly contributed to the development of advanced 4G features targeting enhanced mobile device throughput.
• Earned the 'ProCoder' Badge at Samsung for excelling in a C++ assessment, showcasing mastery in Tries, Hashmaps, and API design.

Jun 2019 – Feb 2021 · 1 yr 8 mos