Mar 2024 – Jun 2025 · 1 yr 3 mos · Mountain View, California, United States

• Contributing in building Gen AI Platform with Enterprise Readiness
• Improving data isolation and privacy for LLM Agents
• Improved reliability and scalability for Code Interpreter and File Search for Azure Open AI Assistant , reduce incidents by 30%.
• Added support for network isolation for LLM inference output to attached tool resources.
• Implemented multimodal content moderation in Azure Open AI Assistant API.
• Implemented infra for Assistant API in Azure to serve million requests.
• Improved LLM model token monthly usage by 8% in Assistant API
• Implemented and improved the resiliency and fault tolerance for Agent management by 30%.

Sep 2022 – Feb 2024 · 1 yr 5 mos · Mountain View, California, United States

• Responsible to deliver Azure Open AI Services.
• Implemented Open AI plugins capability in Azure Open AI Studio.
• Intgerated Auth mechanism to isolate data for customers.

Aug 2021 – Aug 2022 · 1 yr · San Francisco, California, United States

• Contributed in building scalable ML platform to run models.
• Improving code practices in ML pipelines like Kubeflow, TFX, Apache Airflow

Oct 2020 – Aug 2021 · 10 mos · Atlanta, GA, United States

• Contributed in building models to improve financial health of digital banking customers.
• Build a self-checkout for retail customers that multiple cameras to detect and classify the item and add to cart in a mobile application.
• Contributed Data Pipeline using Apache Beam in Cloud Dataflow for batch processing.

Jan 2019 – Sep 2020 · 1 yr 8 mos · Atlanta, GA, United States

• Performed exploratory data analysis on datasets to understand the categorical, continuous features through statistical methods and visualization.
• Implemented machine learning algorithms to find the correlation between multiple time series data.
• Developed time series modeling to forecast the transaction activities of users of financial institutions using historical data.
• Developed data ingestion pipeline for an application such as visualization, feature engineering, training, and testing machine learning and deep learning models using Apache beam and TensorFlow in Google Cloud Platform.
• Developed a machine learning model to estimate the financial wellness of a customer based on their historical events like bill payments, transfer, login activities, and demographics.
• Implemented a cloud dataflow job in GCP using Python to perform aggregation using a window on a large dataset stored in BigQuery.
• Realized topic modeling on a dataset of the frequently asked question in banking using LDA.
• Used Sequence modeling to extract credit card details from short text descriptions available in transactions of checking accounts and later developed a binary logistic regression classifier that tells the customers who are eligible for a low-interest card or not.
• Implemented frictionless self-checkout for retail items using computer vision in the C-Store and Hospitality area. Developed a data modeling pipeline to train the deep learning model. Implemented YOLOv3 and DenseNet architecture for object recognition and classification.
• Build and deploy environments/platforms using Kubernetes to enable artificial intelligence/data science across large data sets in GCP.

Aug 2018 – Nov 2018 · 3 mos · Atlanta, Georgia

• Worked for Innovation Lab as a Data Scientist.
• Responsible for implementing machine learning, NLP, Computer Vision algorithms.
• Use AI methodologies for the transformation of the Digital Banking.
• Enhanced personalized recommendation algorithms to offer more preferred products for the user based on their historical interests.

May 2018 – Aug 2018 · 3 mos · Atlanta, Georgia

• Designed a framework that helps ATM customers to monitor the performance of devices across the USA.
• Contributed to the development of three phases- Data Engineering, Machine Learning Model and Benchmark formulation.
• Analyzed the direct and indirect attributes for performance score, generated tableau dashboard for data exploration developed
• various machine learning models and used SHAP (Shapely additive Explanation) to interpret the models.

Sep 2017 – Nov 2017 · 2 mos · Greater Atlanta Area

• The role was to design the architecture of business mobile app in Android/iOS which offers recommendation to users in nearby locations for different shops (restaurants, hotels, etc.)
• Developed the native mobile apps integrated with AWS services for identity management and backend business logic.

Aug 2017 – May 2018 · 9 mos

• - Lab Assistant for Topic of Computing(CSCI1100 Lab)

Oct 2016 – May 2018 · 1 yr 7 mos

• Worked on sentimental analysis of Social Meadia Data for Center for Disease Control and Prevention, United States
• My role was to design optimized solution for fetching data related to diseases, school unplanned holidays from the social media platforms.
• Developed Multi-Lable Classification model using One-vs-All, LabelPowerset to classify tweets related Ebola virus into multiple categories.

May 2017 – Aug 2017 · 3 mos · Greater Chicago Area

• Designed a universal root detection framework for device attestation which handles attestation independent of OS platform and any desired device attestation methods (per plug-in architecture).
• Developed attestation service using Node JS and deployed into Docker Container, an Android and iOS native app to show end-user device attestation status.
• Integrated the root detection framework in Motorola SSO Android/iOS app, PingFederate IDM and NOK-NOK Lab which offers multi-factor authentication as POC where attestation serves as the first factor for authentication. (Patent Pending)

Feb 2015 – Jul 2016 · 1 yr 5 mos · Greater Hyderabad Area

• Developed IBM RESTful API and ORM framework JPA 2.1 for Mobile Application used by customers of Insurance domain.
• Executed task on integration of FNOL (First Notice of Loss) interfaces and designed orchestration services.
• Implemented Two-phase transaction for DocuSign API in Java.

Dec 2012 – Jan 2015 · 2 yrs 1 mo · Gurugram, Haryana, India

• Enriched a web application adhering to MVC Architecture using the Struts 2 framework.
• Designed and developed a Security mechanism to eradicate security vulnerabilities using OWASP.
• Assigned for development of Internal timesheet mobile application using Android.